Merge pull request #108 from JimBobSquarePants/fast2d-convolution

Use Fast2DArray for all convolution algorithms.

src/ImageSharp.Processing/Convolution/BoxBlur.cs

@@ -7,7 +7,6 @@ namespace ImageSharp
 {
     using System;
 
-    using Processing;
     using Processing.Processors;
 
     /// <summary>
@@ -41,7 +40,7 @@ namespace ImageSharp
         public static Image<TColor> BoxBlur<TColor>(this Image<TColor> source, int radius, Rectangle rectangle)
             where TColor : struct, IPackedPixel, IEquatable<TColor>
         {
-            source.ApplyProcessor(new BoxBlurProcessor<TColor>(), rectangle);
+            source.ApplyProcessor(new BoxBlurProcessor<TColor>(radius), rectangle);
             return source;
         }
     }

src/ImageSharp.Processing/Processors/Convolution/BoxBlurProcessor.cs

@@ -35,12 +35,12 @@ namespace ImageSharp.Processing.Processors
         /// <summary>
         /// Gets the horizontal gradient operator.
         /// </summary>
-        public float[][] KernelX { get; }
+        public Fast2DArray<float> KernelX { get; }
 
         /// <summary>
         /// Gets the vertical gradient operator.
         /// </summary>
-        public float[][] KernelY { get; }
+        public Fast2DArray<float> KernelY { get; }
 
         /// <inheritdoc/>
         protected override void OnApply(ImageBase<TColor> source, Rectangle sourceRectangle)
@@ -52,46 +52,42 @@ namespace ImageSharp.Processing.Processors
         /// Create a 1 dimensional Box kernel.
         /// </summary>
         /// <param name="horizontal">Whether to calculate a horizontal kernel.</param>
-        /// <returns>The <see cref="T:float[][]"/></returns>
-        private float[][] CreateBoxKernel(bool horizontal)
+        /// <returns>The <see cref="Fast2DArray{T}"/></returns>
+        private Fast2DArray<float> CreateBoxKernel(bool horizontal)
         {
             int size = this.kernelSize;
-            float[][] kernel = horizontal ? new float[1][] : new float[size][];
-
-            if (horizontal)
-            {
-                kernel[0] = new float[size];
-            }
-
-            float sum = 0.0f;
+            Fast2DArray<float> kernel = horizontal
+                ? new Fast2DArray<float>(size, 1)
+                : new Fast2DArray<float>(1, size);
 
+            float sum = 0F;
             for (int i = 0; i < size; i++)
             {
                 float x = 1;
                 sum += x;
                 if (horizontal)
                 {
-                    kernel[0][i] = x;
+                    kernel[0, i] = x;
                 }
                 else
                 {
-                    kernel[i] = new[] { x };
+                    kernel[i, 0] = x;
                 }
             }
 
-            // Normalise kernel so that the sum of all weights equals 1
+            // Normalize kernel so that the sum of all weights equals 1
             if (horizontal)
             {
                 for (int i = 0; i < size; i++)
                 {
-                    kernel[0][i] = kernel[0][i] / sum;
+                    kernel[0, i] = kernel[0, i] / sum;
                 }
             }
             else
             {
                 for (int i = 0; i < size; i++)
                 {
-                    kernel[i][0] = kernel[i][0] / sum;
+                    kernel[i, 0] = kernel[i, 0] / sum;
                 }
             }
 

src/ImageSharp.Processing/Processors/Convolution/Convolution2DProcessor.cs

@@ -21,7 +21,7 @@ namespace ImageSharp.Processing.Processors
         /// </summary>
         /// <param name="kernelX">The horizontal gradient operator.</param>
         /// <param name="kernelY">The vertical gradient operator.</param>
-        public Convolution2DProcessor(float[][] kernelX, float[][] kernelY)
+        public Convolution2DProcessor(Fast2DArray<float> kernelX, Fast2DArray<float> kernelY)
         {
             this.KernelX = kernelX;
             this.KernelY = kernelY;
@@ -30,20 +30,20 @@ namespace ImageSharp.Processing.Processors
         /// <summary>
         /// Gets the horizontal gradient operator.
         /// </summary>
-        public float[][] KernelX { get; }
+        public Fast2DArray<float> KernelX { get; }
 
         /// <summary>
         /// Gets the vertical gradient operator.
         /// </summary>
-        public float[][] KernelY { get; }
+        public Fast2DArray<float> KernelY { get; }
 
         /// <inheritdoc/>
         protected override void OnApply(ImageBase<TColor> source, Rectangle sourceRectangle)
         {
-            int kernelYHeight = this.KernelY.Length;
-            int kernelYWidth = this.KernelY[0].Length;
-            int kernelXHeight = this.KernelX.Length;
-            int kernelXWidth = this.KernelX[0].Length;
+            int kernelYHeight = this.KernelY.Height;
+            int kernelYWidth = this.KernelY.Width;
+            int kernelXHeight = this.KernelX.Height;
+            int kernelXWidth = this.KernelX.Width;
             int radiusY = kernelYHeight >> 1;
             int radiusX = kernelXWidth >> 1;
 
@@ -89,22 +89,21 @@ namespace ImageSharp.Processing.Processors
                                     offsetX = offsetX.Clamp(0, maxX);
 
                                     Vector4 currentColor = sourcePixels[offsetX, offsetY].ToVector4();
-                                    float r = currentColor.X;
-                                    float g = currentColor.Y;
-                                    float b = currentColor.Z;
 
                                     if (fy < kernelXHeight)
                                     {
-                                        rX += this.KernelX[fy][fx] * r;
-                                        gX += this.KernelX[fy][fx] * g;
-                                        bX += this.KernelX[fy][fx] * b;
+                                        Vector4 kx = this.KernelX[fy, fx] * currentColor;
+                                        rX += kx.X;
+                                        gX += kx.Y;
+                                        bX += kx.Z;
                                     }
 
                                     if (fx < kernelYWidth)
                                     {
-                                        rY += this.KernelY[fy][fx] * r;
-                                        gY += this.KernelY[fy][fx] * g;
-                                        bY += this.KernelY[fy][fx] * b;
+                                        Vector4 ky = this.KernelY[fy, fx] * currentColor;
+                                        rY += ky.X;
+                                        gY += ky.Y;
+                                        bY += ky.Z;
                                     }
                                 }
                             }

src/ImageSharp.Processing/Processors/Convolution/Convolution2PassProcessor.cs

@@ -14,14 +14,14 @@ namespace ImageSharp.Processing.Processors
     /// </summary>
     /// <typeparam name="TColor">The pixel format.</typeparam>
     public class Convolution2PassProcessor<TColor> : ImageProcessor<TColor>
-    where TColor : struct, IPackedPixel, IEquatable<TColor>
+        where TColor : struct, IPackedPixel, IEquatable<TColor>
     {
         /// <summary>
         /// Initializes a new instance of the <see cref="Convolution2PassProcessor{TColor}"/> class.
         /// </summary>
         /// <param name="kernelX">The horizontal gradient operator.</param>
         /// <param name="kernelY">The vertical gradient operator.</param>
-        public Convolution2PassProcessor(float[][] kernelX, float[][] kernelY)
+        public Convolution2PassProcessor(Fast2DArray<float> kernelX, Fast2DArray<float> kernelY)
         {
             this.KernelX = kernelX;
             this.KernelY = kernelY;
@@ -30,18 +30,16 @@ namespace ImageSharp.Processing.Processors
         /// <summary>
         /// Gets the horizontal gradient operator.
         /// </summary>
-        public float[][] KernelX { get; }
+        public Fast2DArray<float> KernelX { get; }
 
         /// <summary>
         /// Gets the vertical gradient operator.
         /// </summary>
-        public float[][] KernelY { get; }
+        public Fast2DArray<float> KernelY { get; }
 
         /// <inheritdoc/>
         protected override void OnApply(ImageBase<TColor> source, Rectangle sourceRectangle)
         {
-            float[][] kernelX = this.KernelX;
-            float[][] kernelY = this.KernelY;
             int width = source.Width;
             int height = source.Height;
 
@@ -50,8 +48,8 @@ namespace ImageSharp.Processing.Processors
                 using (PixelAccessor<TColor> firstPassPixels = new PixelAccessor<TColor>(width, height))
                 using (PixelAccessor<TColor> sourcePixels = source.Lock())
                 {
-                    this.ApplyConvolution(width, height, firstPassPixels, sourcePixels, sourceRectangle, kernelX);
-                    this.ApplyConvolution(width, height, targetPixels, firstPassPixels, sourceRectangle, kernelY);
+                    this.ApplyConvolution(firstPassPixels, sourcePixels, sourceRectangle, this.KernelX);
+                    this.ApplyConvolution(targetPixels, firstPassPixels, sourceRectangle, this.KernelY);
                 }
 
                 source.SwapPixelsBuffers(targetPixels);
@@ -62,18 +60,16 @@ namespace ImageSharp.Processing.Processors
         /// Applies the process to the specified portion of the specified <see cref="ImageBase{TColor}"/> at the specified location
         /// and with the specified size.
         /// </summary>
-        /// <param name="width">The image width.</param>
-        /// <param name="height">The image height.</param>
         /// <param name="targetPixels">The target pixels to apply the process to.</param>
         /// <param name="sourcePixels">The source pixels. Cannot be null.</param>
         /// <param name="sourceRectangle">
         /// The <see cref="Rectangle"/> structure that specifies the portion of the image object to draw.
         /// </param>
         /// <param name="kernel">The kernel operator.</param>
-        private void ApplyConvolution(int width, int height, PixelAccessor<TColor> targetPixels, PixelAccessor<TColor> sourcePixels, Rectangle sourceRectangle, float[][] kernel)
+        private void ApplyConvolution(PixelAccessor<TColor> targetPixels, PixelAccessor<TColor> sourcePixels, Rectangle sourceRectangle, Fast2DArray<float> kernel)
         {
-            int kernelHeight = kernel.Length;
-            int kernelWidth = kernel[0].Length;
+            int kernelHeight = kernel.Height;
+            int kernelWidth = kernel.Width;
             int radiusY = kernelHeight >> 1;
             int radiusX = kernelWidth >> 1;
 
@@ -85,40 +81,40 @@ namespace ImageSharp.Processing.Processors
             int maxX = endX - 1;
 
             Parallel.For(
-            startY,
-            endY,
-            this.ParallelOptions,
-            y =>
-            {
-                for (int x = startX; x < endX; x++)
+                startY,
+                endY,
+                this.ParallelOptions,
+                y =>
                 {
-                    Vector4 destination = default(Vector4);
-
-                    // Apply each matrix multiplier to the color components for each pixel.
-                    for (int fy = 0; fy < kernelHeight; fy++)
+                    for (int x = startX; x < endX; x++)
                     {
-                        int fyr = fy - radiusY;
-                        int offsetY = y + fyr;
+                        Vector4 destination = default(Vector4);
 
-                        offsetY = offsetY.Clamp(0, maxY);
-
-                        for (int fx = 0; fx < kernelWidth; fx++)
+                        // Apply each matrix multiplier to the color components for each pixel.
+                        for (int fy = 0; fy < kernelHeight; fy++)
                         {
-                            int fxr = fx - radiusX;
-                            int offsetX = x + fxr;
+                            int fyr = fy - radiusY;
+                            int offsetY = y + fyr;
+
+                            offsetY = offsetY.Clamp(0, maxY);
 
-                            offsetX = offsetX.Clamp(0, maxX);
+                            for (int fx = 0; fx < kernelWidth; fx++)
+                            {
+                                int fxr = fx - radiusX;
+                                int offsetX = x + fxr;
 
-                            Vector4 currentColor = sourcePixels[offsetX, offsetY].ToVector4();
-                            destination += kernel[fy][fx] * currentColor;
+                                offsetX = offsetX.Clamp(0, maxX);
+
+                                Vector4 currentColor = sourcePixels[offsetX, offsetY].ToVector4();
+                                destination += kernel[fy, fx] * currentColor;
+                            }
                         }
-                    }
 
-                    TColor packed = default(TColor);
-                    packed.PackFromVector4(destination);
-                    targetPixels[x, y] = packed;
-                }
-            });
+                        TColor packed = default(TColor);
+                        packed.PackFromVector4(destination);
+                        targetPixels[x, y] = packed;
+                    }
+                });
         }
     }
 }

src/ImageSharp.Processing/Processors/Convolution/ConvolutionProcessor.cs

@@ -14,13 +14,13 @@ namespace ImageSharp.Processing.Processors
     /// </summary>
     /// <typeparam name="TColor">The pixel format.</typeparam>
     public class ConvolutionProcessor<TColor> : ImageProcessor<TColor>
-    where TColor : struct, IPackedPixel, IEquatable<TColor>
+        where TColor : struct, IPackedPixel, IEquatable<TColor>
     {
         /// <summary>
         /// Initializes a new instance of the <see cref="ConvolutionProcessor{TColor}"/> class.
         /// </summary>
         /// <param name="kernelXY">The 2d gradient operator.</param>
-        public ConvolutionProcessor(float[][] kernelXY)
+        public ConvolutionProcessor(Fast2DArray<float> kernelXY)
         {
             this.KernelXY = kernelXY;
         }
@@ -28,13 +28,12 @@ namespace ImageSharp.Processing.Processors
         /// <summary>
         /// Gets the 2d gradient operator.
         /// </summary>
-        public virtual float[][] KernelXY { get; }
+        public Fast2DArray<float> KernelXY { get; }
 
         /// <inheritdoc/>
         protected override void OnApply(ImageBase<TColor> source, Rectangle sourceRectangle)
         {
-            float[][] kernelX = this.KernelXY;
-            int kernelLength = kernelX.GetLength(0);
+            int kernelLength = this.KernelXY.Height;
             int radius = kernelLength >> 1;
 
             int startY = sourceRectangle.Y;
@@ -56,9 +55,9 @@ namespace ImageSharp.Processing.Processors
                     {
                         for (int x = startX; x < endX; x++)
                         {
-                            float rX = 0;
-                            float gX = 0;
-                            float bX = 0;
+                            float red = 0;
+                            float green = 0;
+                            float blue = 0;
 
                             // Apply each matrix multiplier to the color components for each pixel.
                             for (int fy = 0; fy < kernelLength; fy++)
@@ -76,20 +75,14 @@ namespace ImageSharp.Processing.Processors
                                     offsetX = offsetX.Clamp(0, maxX);
 
                                     Vector4 currentColor = sourcePixels[offsetX, offsetY].ToVector4();
-                                    float r = currentColor.X;
-                                    float g = currentColor.Y;
-                                    float b = currentColor.Z;
+                                    currentColor *= this.KernelXY[fy, fx];
 
-                                    rX += kernelX[fy][fx] * r;
-                                    gX += kernelX[fy][fx] * g;
-                                    bX += kernelX[fy][fx] * b;
+                                    red += currentColor.X;
+                                    green += currentColor.Y;
+                                    blue += currentColor.Z;
                                 }
                             }
 
-                            float red = rX;
-                            float green = gX;
-                            float blue = bX;
-
                             TColor packed = default(TColor);
                             packed.PackFromVector4(new Vector4(red, green, blue, sourcePixels[x, y].ToVector4().W));
                             targetPixels[x, y] = packed;

src/ImageSharp.Processing/Processors/Convolution/EdgeDetection/EdgeDetector2DProcessor.cs

@@ -14,15 +14,26 @@ namespace ImageSharp.Processing.Processors
     public abstract class EdgeDetector2DProcessor<TColor> : ImageProcessor<TColor>, IEdgeDetectorProcessor<TColor>
         where TColor : struct, IPackedPixel, IEquatable<TColor>
     {
+        /// <summary>
+        /// Initializes a new instance of the <see cref="EdgeDetector2DProcessor{TColor}"/> class.
+        /// </summary>
+        /// <param name="kernelX">The horizontal gradient operator.</param>
+        /// <param name="kernelY">The vertical gradient operator.</param>
+        protected EdgeDetector2DProcessor(Fast2DArray<float> kernelX, Fast2DArray<float> kernelY)
+        {
+            this.KernelX = kernelX;
+            this.KernelY = kernelY;
+        }
+
         /// <summary>
         /// Gets the horizontal gradient operator.
         /// </summary>
-        public abstract float[][] KernelX { get; }
+        public Fast2DArray<float> KernelX { get; }
 
         /// <summary>
         /// Gets the vertical gradient operator.
         /// </summary>
-        public abstract float[][] KernelY { get; }
+        public Fast2DArray<float> KernelY { get; }
 
         /// <inheritdoc/>
         public bool Grayscale { get; set; }

src/ImageSharp.Processing/Processors/Convolution/EdgeDetection/EdgeDetectorCompassProcessor.cs

@@ -19,50 +19,59 @@ namespace ImageSharp.Processing.Processors
         /// <summary>
         /// Gets the North gradient operator
         /// </summary>
-        public abstract float[][] North { get; }
+        public abstract Fast2DArray<float> North { get; }
 
         /// <summary>
         /// Gets the NorthWest gradient operator
         /// </summary>
-        public abstract float[][] NorthWest { get; }
+        public abstract Fast2DArray<float> NorthWest { get; }
 
         /// <summary>
         /// Gets the West gradient operator
         /// </summary>
-        public abstract float[][] West { get; }
+        public abstract Fast2DArray<float> West { get; }
 
         /// <summary>
         /// Gets the SouthWest gradient operator
         /// </summary>
-        public abstract float[][] SouthWest { get; }
+        public abstract Fast2DArray<float> SouthWest { get; }
 
         /// <summary>
         /// Gets the South gradient operator
         /// </summary>
-        public abstract float[][] South { get; }
+        public abstract Fast2DArray<float> South { get; }
 
         /// <summary>
         /// Gets the SouthEast gradient operator
         /// </summary>
-        public abstract float[][] SouthEast { get; }
+        public abstract Fast2DArray<float> SouthEast { get; }
 
         /// <summary>
         /// Gets the East gradient operator
         /// </summary>
-        public abstract float[][] East { get; }
+        public abstract Fast2DArray<float> East { get; }
 
         /// <summary>
         /// Gets the NorthEast gradient operator
         /// </summary>
-        public abstract float[][] NorthEast { get; }
+        public abstract Fast2DArray<float> NorthEast { get; }
 
         /// <inheritdoc/>
         public bool Grayscale { get; set; }
 
+        /// <inheritdoc/>
+        protected override void BeforeApply(ImageBase<TColor> source, Rectangle sourceRectangle)
+        {
+            if (this.Grayscale)
+            {
+                new GrayscaleBt709Processor<TColor>().Apply(source, sourceRectangle);
+            }
+        }
+
         /// <inheritdoc />
         protected override void OnApply(ImageBase<TColor> source, Rectangle sourceRectangle)
         {
-            float[][][] kernels = { this.North, this.NorthWest, this.West, this.SouthWest, this.South, this.SouthEast, this.East, this.NorthEast };
+            Fast2DArray<float>[] kernels = { this.North, this.NorthWest, this.West, this.SouthWest, this.South, this.SouthEast, this.East, this.NorthEast };
 
             int startY = sourceRectangle.Y;
             int endY = sourceRectangle.Bottom;
@@ -132,14 +141,5 @@ namespace ImageSharp.Processing.Processors
                 }
             }
         }
-
-        /// <inheritdoc/>
-        protected override void BeforeApply(ImageBase<TColor> source, Rectangle sourceRectangle)
-        {
-            if (this.Grayscale)
-            {
-                new GrayscaleBt709Processor<TColor>().Apply(source, sourceRectangle);
-            }
-        }
     }
 }

src/ImageSharp.Processing/Processors/Convolution/EdgeDetection/EdgeDetectorProcessor.cs

@@ -14,19 +14,22 @@ namespace ImageSharp.Processing.Processors
     public abstract class EdgeDetectorProcessor<TColor> : ImageProcessor<TColor>, IEdgeDetectorProcessor<TColor>
         where TColor : struct, IPackedPixel, IEquatable<TColor>
     {
+        /// <summary>
+        /// Initializes a new instance of the <see cref="EdgeDetectorProcessor{TColor}"/> class.
+        /// </summary>
+        /// <param name="kernelXY">The 2d gradient operator.</param>
+        protected EdgeDetectorProcessor(Fast2DArray<float> kernelXY)
+        {
+            this.KernelXY = kernelXY;
+        }
+
         /// <inheritdoc/>
         public bool Grayscale { get; set; }
 
         /// <summary>
         /// Gets the 2d gradient operator.
         /// </summary>
-        public abstract float[][] KernelXY { get; }
-
-        /// <inheritdoc/>
-        protected override void OnApply(ImageBase<TColor> source, Rectangle sourceRectangle)
-        {
-            new ConvolutionProcessor<TColor>(this.KernelXY).Apply(source, sourceRectangle);
-        }
+        public Fast2DArray<float> KernelXY { get; }
 
         /// <inheritdoc/>
         protected override void BeforeApply(ImageBase<TColor> source, Rectangle sourceRectangle)
@@ -36,5 +39,11 @@ namespace ImageSharp.Processing.Processors
                 new GrayscaleBt709Processor<TColor>().Apply(source, sourceRectangle);
             }
         }
+
+        /// <inheritdoc/>
+        protected override void OnApply(ImageBase<TColor> source, Rectangle sourceRectangle)
+        {
+            new ConvolutionProcessor<TColor>(this.KernelXY).Apply(source, sourceRectangle);
+        }
     }
 }

src/ImageSharp.Processing/Processors/Convolution/EdgeDetection/KayyaliProcessor.cs

@@ -20,27 +20,31 @@ namespace ImageSharp.Processing.Processors
         /// <summary>
         /// The horizontal gradient operator.
         /// </summary>
-        private static readonly float[][] KayyaliX =
-        {
-            new float[] { 6, 0, -6 },
-            new float[] { 0, 0, 0 },
-            new float[] { -6, 0, 6 }
-        };
+        private static readonly Fast2DArray<float> KayyaliX =
+            new float[,]
+            {
+                { 6, 0, -6 },
+                { 0, 0, 0 },
+                { -6, 0, 6 }
+            };
 
         /// <summary>
         /// The vertical gradient operator.
         /// </summary>
-        private static readonly float[][] KayyaliY =
-        {
-            new float[] { -6, 0, 6 },
-            new float[] { 0, 0, 0 },
-            new float[] { 6, 0, -6 }
-        };
-
-        /// <inheritdoc/>
-        public override float[][] KernelX => KayyaliX;
+        private static readonly Fast2DArray<float> KayyaliY =
+            new float[,]
+            {
+                { -6, 0, 6 },
+                { 0, 0, 0 },
+                { 6, 0, -6 }
+            };
 
-        /// <inheritdoc/>
-        public override float[][] KernelY => KayyaliY;
+        /// <summary>
+        /// Initializes a new instance of the <see cref="KayyaliProcessor{TColor}"/> class.
+        /// </summary>
+        public KayyaliProcessor()
+            : base(KayyaliX, KayyaliY)
+        {
+        }
     }
 }

src/ImageSharp.Processing/Processors/Convolution/EdgeDetection/KirschProcessor.cs

@@ -2,6 +2,7 @@
 // Copyright (c) James Jackson-South and contributors.
 // Licensed under the Apache License, Version 2.0.
 // </copyright>
+
 namespace ImageSharp.Processing.Processors
 {
     using System;
@@ -19,105 +20,113 @@ namespace ImageSharp.Processing.Processors
         /// <summary>
         /// The North gradient operator
         /// </summary>
-        private static readonly float[][] KirschNorth =
-        {
-           new float[] { 5,  5,  5 },
-           new float[] { -3,  0, -3 },
-           new float[] { -3, -3, -3 }
-        };
+        private static readonly Fast2DArray<float> KirschNorth =
+            new float[,]
+            {
+               { 5,  5,  5 },
+               { -3,  0, -3 },
+               { -3, -3, -3 }
+            };
 
         /// <summary>
         /// The NorthWest gradient operator
         /// </summary>
-        private static readonly float[][] KirschNorthWest =
-        {
-           new float[] { 5,  5, -3 },
-           new float[] { 5,  0, -3 },
-           new float[] { -3, -3, -3 }
-        };
+        private static readonly Fast2DArray<float> KirschNorthWest =
+            new float[,]
+            {
+               { 5,  5, -3 },
+               { 5,  0, -3 },
+               { -3, -3, -3 }
+            };
 
         /// <summary>
         /// The West gradient operator
         /// </summary>
-        private static readonly float[][] KirschWest =
-        {
-           new float[] { 5, -3, -3 },
-           new float[] { 5,  0, -3 },
-           new float[] { 5, -3, -3 }
-        };
+        private static readonly Fast2DArray<float> KirschWest =
+            new float[,]
+            {
+               { 5, -3, -3 },
+               { 5,  0, -3 },
+               { 5, -3, -3 }
+            };
 
         /// <summary>
         /// The SouthWest gradient operator
         /// </summary>
-        private static readonly float[][] KirschSouthWest =
-        {
-           new float[] { -3, -3, -3 },
-           new float[] { 5, 0, -3 },
-           new float[] { 5,  5, -3 }
-        };
+        private static readonly Fast2DArray<float> KirschSouthWest =
+            new float[,]
+            {
+               { -3, -3, -3 },
+               { 5, 0, -3 },
+               { 5,  5, -3 }
+            };
 
         /// <summary>
         /// The South gradient operator
         /// </summary>
-        private static readonly float[][] KirschSouth =
-        {
-           new float[] { -3, -3, -3 },
-           new float[] { -3,  0, -3 },
-           new float[] { 5,  5,  5 }
-        };
+        private static readonly Fast2DArray<float> KirschSouth =
+            new float[,]
+            {
+               { -3, -3, -3 },
+               { -3,  0, -3 },
+               { 5,  5,  5 }
+            };
 
         /// <summary>
         /// The SouthEast gradient operator
         /// </summary>
-        private static readonly float[][] KirschSouthEast =
-        {
-           new float[] { -3, -3, -3 },
-           new float[] { -3,  0,  5 },
-           new float[] { -3,  5,  5 }
-        };
+        private static readonly Fast2DArray<float> KirschSouthEast =
+            new float[,]
+            {
+               { -3, -3, -3 },
+               { -3,  0,  5 },
+               { -3,  5,  5 }
+            };
 
         /// <summary>
         /// The East gradient operator
         /// </summary>
-        private static readonly float[][] KirschEast =
-        {
-           new float[] { -3, -3, 5 },
-           new float[] { -3,  0, 5 },
-           new float[] { -3, -3, 5 }
-        };
+        private static readonly Fast2DArray<float> KirschEast =
+            new float[,]
+            {
+               { -3, -3, 5 },
+               { -3,  0, 5 },
+               { -3, -3, 5 }
+            };
 
         /// <summary>
         /// The NorthEast gradient operator
         /// </summary>
-        private static readonly float[][] KirschNorthEast =
-        {
-           new float[] { -3,  5,  5 },
-           new float[] { -3,  0,  5 },
-           new float[] { -3, -3, -3 }
-        };
+        private static readonly Fast2DArray<float> KirschNorthEast =
+            new float[,]
+            {
+               { -3,  5,  5 },
+               { -3,  0,  5 },
+               { -3, -3, -3 }
+            };
 
         /// <inheritdoc/>
-        public override float[][] North => KirschNorth;
+        public override Fast2DArray<float> North => KirschNorth;
 
         /// <inheritdoc/>
-        public override float[][] NorthWest => KirschNorthWest;
+        public override Fast2DArray<float> NorthWest => KirschNorthWest;
 
         /// <inheritdoc/>
-        public override float[][] West => KirschWest;
+        public override Fast2DArray<float> West => KirschWest;
 
         /// <inheritdoc/>
-        public override float[][] SouthWest => KirschSouthWest;
+        public override Fast2DArray<float> SouthWest => KirschSouthWest;
 
         /// <inheritdoc/>
-        public override float[][] South => KirschSouth;
+        public override Fast2DArray<float> South => KirschSouth;
 
         /// <inheritdoc/>
-        public override float[][] SouthEast => KirschSouthEast;
+        public override Fast2DArray<float> SouthEast => KirschSouthEast;
 
         /// <inheritdoc/>
-        public override float[][] East => KirschEast;
+        public override Fast2DArray<float> East => KirschEast;
 
         /// <inheritdoc/>
-        public override float[][] NorthEast => KirschNorthEast;
+        public override Fast2DArray<float> NorthEast => KirschNorthEast;
     }
 }

src/ImageSharp.Processing/Processors/Convolution/EdgeDetection/Laplacian3X3Processor.cs

@@ -20,14 +20,20 @@ namespace ImageSharp.Processing.Processors
         /// <summary>
         /// The 2d gradient operator.
         /// </summary>
-        private static readonly float[][] Laplacian3X3XY = new float[][]
-        {
-           new float[] { -1, -1, -1 },
-           new float[] { -1,  8, -1 },
-           new float[] { -1, -1, -1 }
-        };
+        private static readonly Fast2DArray<float> Laplacian3X3XY =
+            new float[,]
+            {
+               { -1, -1, -1 },
+               { -1,  8, -1 },
+               { -1, -1, -1 }
+            };
 
-        /// <inheritdoc/>
-        public override float[][] KernelXY => Laplacian3X3XY;
+        /// <summary>
+        /// Initializes a new instance of the <see cref="Laplacian3X3Processor{TColor}"/> class.
+        /// </summary>
+        public Laplacian3X3Processor()
+            : base(Laplacian3X3XY)
+        {
+        }
     }
 }

src/ImageSharp.Processing/Processors/Convolution/EdgeDetection/Laplacian5X5Processor.cs

@@ -20,16 +20,22 @@ namespace ImageSharp.Processing.Processors
         /// <summary>
         /// The 2d gradient operator.
         /// </summary>
-        private static readonly float[][] Laplacian5X5XY =
-        {
-            new float[] { -1, -1, -1, -1, -1 },
-            new float[] { -1, -1, -1, -1, -1 },
-            new float[] { -1, -1, 24, -1, -1 },
-            new float[] { -1, -1, -1, -1, -1 },
-            new float[] { -1, -1, -1, -1, -1 }
-        };
+        private static readonly Fast2DArray<float> Laplacian5X5XY =
+            new float[,]
+            {
+                { -1, -1, -1, -1, -1 },
+                { -1, -1, -1, -1, -1 },
+                { -1, -1, 24, -1, -1 },
+                { -1, -1, -1, -1, -1 },
+                { -1, -1, -1, -1, -1 }
+            };
 
-        /// <inheritdoc/>
-        public override float[][] KernelXY => Laplacian5X5XY;
+        /// <summary>
+        /// Initializes a new instance of the <see cref="Laplacian5X5Processor{TColor}"/> class.
+        /// </summary>
+        public Laplacian5X5Processor()
+            : base(Laplacian5X5XY)
+        {
+        }
     }
 }

src/ImageSharp.Processing/Processors/Convolution/EdgeDetection/LaplacianOfGaussianProcessor.cs

@@ -20,16 +20,22 @@ namespace ImageSharp.Processing.Processors
         /// <summary>
         /// The 2d gradient operator.
         /// </summary>
-        private static readonly float[][] LaplacianOfGaussianXY =
-        {
-           new float[] { 0, 0, -1,  0,  0 },
-           new float[] { 0, -1, -2, -1,  0 },
-           new float[] { -1, -2, 16, -2, -1 },
-           new float[] { 0, -1, -2, -1,  0 },
-           new float[] { 0, 0, -1,  0,  0 }
-        };
+        private static readonly Fast2DArray<float> LaplacianOfGaussianXY =
+            new float[,]
+            {
+                { 0, 0, -1,  0,  0 },
+                { 0, -1, -2, -1,  0 },
+                { -1, -2, 16, -2, -1 },
+                { 0, -1, -2, -1,  0 },
+                { 0, 0, -1,  0,  0 }
+            };
 
-        /// <inheritdoc/>
-        public override float[][] KernelXY => LaplacianOfGaussianXY;
+        /// <summary>
+        /// Initializes a new instance of the <see cref="LaplacianOfGaussianProcessor{TColor}"/> class.
+        /// </summary>
+        public LaplacianOfGaussianProcessor()
+            : base(LaplacianOfGaussianXY)
+        {
+        }
     }
 }

src/ImageSharp.Processing/Processors/Convolution/EdgeDetection/PrewittProcessor.cs

@@ -20,27 +20,31 @@ namespace ImageSharp.Processing.Processors
         /// <summary>
         /// The horizontal gradient operator.
         /// </summary>
-        private static readonly float[][] PrewittX =
-        {
-            new float[] { -1, 0, 1 },
-            new float[] { -1, 0, 1 },
-            new float[] { -1, 0, 1 }
-        };
+        private static readonly Fast2DArray<float> PrewittX =
+            new float[,]
+            {
+                { -1, 0, 1 },
+                { -1, 0, 1 },
+                { -1, 0, 1 }
+            };
 
         /// <summary>
         /// The vertical gradient operator.
         /// </summary>
-        private static readonly float[][] PrewittY =
-        {
-            new float[] { 1, 1, 1 },
-            new float[] { 0, 0, 0 },
-            new float[] { -1, -1, -1 }
-        };
-
-        /// <inheritdoc/>
-        public override float[][] KernelX => PrewittX;
+        private static readonly Fast2DArray<float> PrewittY =
+            new float[,]
+            {
+                { 1, 1, 1 },
+                { 0, 0, 0 },
+                { -1, -1, -1 }
+            };
 
-        /// <inheritdoc/>
-        public override float[][] KernelY => PrewittY;
+        /// <summary>
+        /// Initializes a new instance of the <see cref="PrewittProcessor{TColor}"/> class.
+        /// </summary>
+        public PrewittProcessor()
+            : base(PrewittX, PrewittY)
+        {
+        }
     }
 }

src/ImageSharp.Processing/Processors/Convolution/EdgeDetection/RobertsCrossProcessor.cs

@@ -20,25 +20,29 @@ namespace ImageSharp.Processing.Processors
         /// <summary>
         /// The horizontal gradient operator.
         /// </summary>
-        private static readonly float[][] RobertsCrossX =
-        {
-            new float[] { 1, 0 },
-            new float[] { 0, -1 }
-        };
+        private static readonly Fast2DArray<float> RobertsCrossX =
+            new float[,]
+            {
+                { 1, 0 },
+                { 0, -1 }
+            };
 
         /// <summary>
         /// The vertical gradient operator.
         /// </summary>
-        private static readonly float[][] RobertsCrossY =
-        {
-            new float[] { 0, 1 },
-            new float[] { -1, 0 }
-        };
-
-        /// <inheritdoc/>
-        public override float[][] KernelX => RobertsCrossX;
+        private static readonly Fast2DArray<float> RobertsCrossY =
+            new float[,]
+            {
+                { 0, 1 },
+                { -1, 0 }
+            };
 
-        /// <inheritdoc/>
-        public override float[][] KernelY => RobertsCrossY;
+        /// <summary>
+        /// Initializes a new instance of the <see cref="RobertsCrossProcessor{TColor}"/> class.
+        /// </summary>
+        public RobertsCrossProcessor()
+            : base(RobertsCrossX, RobertsCrossY)
+        {
+        }
     }
 }

src/ImageSharp.Processing/Processors/Convolution/EdgeDetection/RobinsonProcessor.cs

@@ -2,6 +2,7 @@
 // Copyright (c) James Jackson-South and contributors.
 // Licensed under the Apache License, Version 2.0.
 // </copyright>
+
 namespace ImageSharp.Processing.Processors
 {
     using System;
@@ -19,105 +20,113 @@ namespace ImageSharp.Processing.Processors
         /// <summary>
         /// The North gradient operator
         /// </summary>
-        private static readonly float[][] RobinsonNorth =
-        {
-           new float[] { 1, 2, 1 },
-           new float[] { 0,  0, 0 },
-           new float[] { -1, -2, -1 }
-        };
+        private static readonly Fast2DArray<float> RobinsonNorth =
+            new float[,]
+            {
+               { 1, 2, 1 },
+               { 0,  0, 0 },
+               { -1, -2, -1 }
+            };
 
         /// <summary>
         /// The NorthWest gradient operator
         /// </summary>
-        private static readonly float[][] RobinsonNorthWest =
-        {
-           new float[] { 2,  1, 0 },
-           new float[] { 1,  0, -1 },
-           new float[] { 0, -1, -2 }
-        };
+        private static readonly Fast2DArray<float> RobinsonNorthWest =
+            new float[,]
+            {
+               { 2,  1, 0 },
+               { 1,  0, -1 },
+               { 0, -1, -2 }
+            };
 
         /// <summary>
         /// The West gradient operator
         /// </summary>
-        private static readonly float[][] RobinsonWest =
-        {
-           new float[] { 1, 0, -1 },
-           new float[] { 2, 0, -2 },
-           new float[] { 1, 0, -1 }
-        };
+        private static readonly Fast2DArray<float> RobinsonWest =
+            new float[,]
+            {
+               { 1, 0, -1 },
+               { 2, 0, -2 },
+               { 1, 0, -1 }
+            };
 
         /// <summary>
         /// The SouthWest gradient operator
         /// </summary>
-        private static readonly float[][] RobinsonSouthWest =
-        {
-           new float[] { 0, -1, -2 },
-           new float[] { 1, 0, -1 },
-           new float[] { 2, 1,  0 }
-        };
+        private static readonly Fast2DArray<float> RobinsonSouthWest =
+            new float[,]
+            {
+               { 0, -1, -2 },
+               { 1, 0, -1 },
+               { 2, 1,  0 }
+            };
 
         /// <summary>
         /// The South gradient operator
         /// </summary>
-        private static readonly float[][] RobinsonSouth =
-        {
-           new float[] { -1, -2, -1 },
-           new float[] { 0,  0, 0 },
-           new float[] { 1,  2,  1 }
-        };
+        private static readonly Fast2DArray<float> RobinsonSouth =
+            new float[,]
+            {
+               { -1, -2, -1 },
+               { 0,  0, 0 },
+               { 1,  2,  1 }
+            };
 
         /// <summary>
         /// The SouthEast gradient operator
         /// </summary>
-        private static readonly float[][] RobinsonSouthEast =
-        {
-           new float[] { -2, -1, 0 },
-           new float[] { -1,  0, 1 },
-           new float[] { 0,  1,  2 }
-        };
+        private static readonly Fast2DArray<float> RobinsonSouthEast =
+            new float[,]
+            {
+               { -2, -1, 0 },
+               { -1,  0, 1 },
+               { 0,  1,  2 }
+            };
 
         /// <summary>
         /// The East gradient operator
         /// </summary>
-        private static readonly float[][] RobinsonEast =
-        {
-           new float[] { -1, 0, 1 },
-           new float[] { -2, 0, 2 },
-           new float[] { -1, 0, 1 }
-        };
+        private static readonly Fast2DArray<float> RobinsonEast =
+            new float[,]
+            {
+               { -1, 0, 1 },
+               { -2, 0, 2 },
+               { -1, 0, 1 }
+            };
 
         /// <summary>
         /// The NorthEast gradient operator
         /// </summary>
-        private static readonly float[][] RobinsonNorthEast =
-        {
-           new float[] { 0,  1,  2 },
-           new float[] { -1,  0, 1 },
-           new float[] { -2, -1, 0 }
-        };
+        private static readonly Fast2DArray<float> RobinsonNorthEast =
+            new float[,]
+            {
+               { 0,  1,  2 },
+               { -1,  0, 1 },
+               { -2, -1, 0 }
+            };
 
         /// <inheritdoc/>
-        public override float[][] North => RobinsonNorth;
+        public override Fast2DArray<float> North => RobinsonNorth;
 
         /// <inheritdoc/>
-        public override float[][] NorthWest => RobinsonNorthWest;
+        public override Fast2DArray<float> NorthWest => RobinsonNorthWest;
 
         /// <inheritdoc/>
-        public override float[][] West => RobinsonWest;
+        public override Fast2DArray<float> West => RobinsonWest;
 
         /// <inheritdoc/>
-        public override float[][] SouthWest => RobinsonSouthWest;
+        public override Fast2DArray<float> SouthWest => RobinsonSouthWest;
 
         /// <inheritdoc/>
-        public override float[][] South => RobinsonSouth;
+        public override Fast2DArray<float> South => RobinsonSouth;
 
         /// <inheritdoc/>
-        public override float[][] SouthEast => RobinsonSouthEast;
+        public override Fast2DArray<float> SouthEast => RobinsonSouthEast;
 
         /// <inheritdoc/>
-        public override float[][] East => RobinsonEast;
+        public override Fast2DArray<float> East => RobinsonEast;
 
         /// <inheritdoc/>
-        public override float[][] NorthEast => RobinsonNorthEast;
+        public override Fast2DArray<float> NorthEast => RobinsonNorthEast;
     }
 }

src/ImageSharp.Processing/Processors/Convolution/EdgeDetection/ScharrProcessor.cs

@@ -20,27 +20,31 @@ namespace ImageSharp.Processing.Processors
         /// <summary>
         /// The horizontal gradient operator.
         /// </summary>
-        private static readonly float[][] ScharrX = new float[3][]
-        {
-            new float[] { -3, 0, 3 },
-            new float[] { -10, 0, 10 },
-            new float[] { -3, 0, 3 }
-        };
+        private static readonly Fast2DArray<float> ScharrX =
+            new float[,]
+            {
+                { -3, 0, 3 },
+                { -10, 0, 10 },
+                { -3, 0, 3 }
+            };
 
         /// <summary>
         /// The vertical gradient operator.
         /// </summary>
-        private static readonly float[][] ScharrY = new float[3][]
-        {
-            new float[] { 3, 10, 3 },
-            new float[] { 0, 0, 0 },
-            new float[] { -3, -10, -3 }
-        };
-
-        /// <inheritdoc/>
-        public override float[][] KernelX => ScharrX;
+        private static readonly Fast2DArray<float> ScharrY =
+            new float[,]
+            {
+                { 3, 10, 3 },
+                { 0, 0, 0 },
+                { -3, -10, -3 }
+            };
 
-        /// <inheritdoc/>
-        public override float[][] KernelY => ScharrY;
+        /// <summary>
+        /// Initializes a new instance of the <see cref="ScharrProcessor{TColor}"/> class.
+        /// </summary>
+        public ScharrProcessor()
+            : base(ScharrX, ScharrY)
+        {
+        }
     }
 }

src/ImageSharp.Processing/Processors/Convolution/EdgeDetection/SobelProcessor.cs

@@ -20,27 +20,31 @@ namespace ImageSharp.Processing.Processors
         /// <summary>
         /// The horizontal gradient operator.
         /// </summary>
-        private static readonly float[][] SobelX =
-        {
-            new float[] { -1, 0, 1 },
-            new float[] { -2, 0, 2 },
-            new float[] { -1, 0, 1 }
-        };
+        private static readonly Fast2DArray<float> SobelX =
+            new float[,]
+            {
+                { -1, 0, 1 },
+                { -2, 0, 2 },
+                { -1, 0, 1 }
+            };
 
         /// <summary>
         /// The vertical gradient operator.
         /// </summary>
-        private static readonly float[][] SobelY =
-        {
-            new float[] { -1, -2, -1 },
-            new float[] { 0, 0, 0 },
-            new float[] { 1, 2, 1 }
-        };
-
-        /// <inheritdoc/>
-        public override float[][] KernelX => SobelX;
+        private static readonly Fast2DArray<float> SobelY =
+            new float[,]
+            {
+                { -1, -2, -1 },
+                { 0, 0, 0 },
+                { 1, 2, 1 }
+            };
 
-        /// <inheritdoc/>
-        public override float[][] KernelY => SobelY;
+        /// <summary>
+        /// Initializes a new instance of the <see cref="SobelProcessor{TColor}"/> class.
+        /// </summary>
+        public SobelProcessor()
+            : base(SobelX, SobelY)
+        {
+        }
     }
 }

src/ImageSharp.Processing/Processors/Convolution/GaussianBlurProcessor.cs

@@ -71,12 +71,12 @@ namespace ImageSharp.Processing.Processors
         /// <summary>
         /// Gets the horizontal gradient operator.
         /// </summary>
-        public float[][] KernelX { get; }
+        public Fast2DArray<float> KernelX { get; }
 
         /// <summary>
         /// Gets the vertical gradient operator.
         /// </summary>
-        public float[][] KernelY { get; }
+        public Fast2DArray<float> KernelY { get; }
 
         /// <inheritdoc/>
         protected override void OnApply(ImageBase<TColor> source, Rectangle sourceRectangle)
@@ -88,21 +88,18 @@ namespace ImageSharp.Processing.Processors
         /// Create a 1 dimensional Gaussian kernel using the Gaussian G(x) function
         /// </summary>
         /// <param name="horizontal">Whether to calculate a horizontal kernel.</param>
-        /// <returns>The <see cref="T:float[][]"/></returns>
-        private float[][] CreateGaussianKernel(bool horizontal)
+        /// <returns>The <see cref="Fast2DArray{T}"/></returns>
+        private Fast2DArray<float> CreateGaussianKernel(bool horizontal)
         {
             int size = this.kernelSize;
             float weight = this.sigma;
-            float[][] kernel = horizontal ? new float[1][] : new float[size][];
+            Fast2DArray<float> kernel = horizontal
+                ? new Fast2DArray<float>(size, 1)
+                : new Fast2DArray<float>(1, size);
 
-            if (horizontal)
-            {
-                kernel[0] = new float[size];
-            }
-
-            float sum = 0.0f;
+            float sum = 0F;
+            float midpoint = (size - 1) / 2F;
 
-            float midpoint = (size - 1) / 2f;
             for (int i = 0; i < size; i++)
             {
                 float x = i - midpoint;
@@ -110,27 +107,27 @@ namespace ImageSharp.Processing.Processors
                 sum += gx;
                 if (horizontal)
                 {
-                    kernel[0][i] = gx;
+                    kernel[0, i] = gx;
                 }
                 else
                 {
-                    kernel[i] = new[] { gx };
+                    kernel[i, 0] = gx;
                 }
             }
 
-            // Normalise kernel so that the sum of all weights equals 1
+            // Normalize kernel so that the sum of all weights equals 1
             if (horizontal)
             {
                 for (int i = 0; i < size; i++)
                 {
-                    kernel[0][i] = kernel[0][i] / sum;
+                    kernel[0, i] = kernel[0, i] / sum;
                 }
             }
             else
             {
                 for (int i = 0; i < size; i++)
                 {
-                    kernel[i][0] = kernel[i][0] / sum;
+                    kernel[i, 0] = kernel[i, 0] / sum;
                 }
             }
 

src/ImageSharp.Processing/Processors/Convolution/GaussianSharpenProcessor.cs

@@ -73,12 +73,12 @@ namespace ImageSharp.Processing.Processors
         /// <summary>
         /// Gets the horizontal gradient operator.
         /// </summary>
-        public float[][] KernelX { get; }
+        public Fast2DArray<float> KernelX { get; }
 
         /// <summary>
         /// Gets the vertical gradient operator.
         /// </summary>
-        public float[][] KernelY { get; }
+        public Fast2DArray<float> KernelY { get; }
 
         /// <inheritdoc/>
         protected override void OnApply(ImageBase<TColor> source, Rectangle sourceRectangle)
@@ -90,17 +90,14 @@ namespace ImageSharp.Processing.Processors
         /// Create a 1 dimensional Gaussian kernel using the Gaussian G(x) function
         /// </summary>
         /// <param name="horizontal">Whether to calculate a horizontal kernel.</param>
-        /// <returns>The <see cref="T:float[][]"/></returns>
-        private float[][] CreateGaussianKernel(bool horizontal)
+        /// <returns>The <see cref="Fast2DArray{T}"/></returns>
+        private Fast2DArray<float> CreateGaussianKernel(bool horizontal)
         {
             int size = this.kernelSize;
             float weight = this.sigma;
-            float[][] kernel = horizontal ? new float[1][] : new float[size][];
-
-            if (horizontal)
-            {
-                kernel[0] = new float[size];
-            }
+            Fast2DArray<float> kernel = horizontal
+                ? new Fast2DArray<float>(size, 1)
+                : new Fast2DArray<float>(1, size);
 
             float sum = 0;
 
@@ -112,11 +109,11 @@ namespace ImageSharp.Processing.Processors
                 sum += gx;
                 if (horizontal)
                 {
-                    kernel[0][i] = gx;
+                    kernel[0, i] = gx;
                 }
                 else
                 {
-                    kernel[i] = new[] { gx };
+                    kernel[i, 0] = gx;
                 }
             }
 
@@ -130,12 +127,12 @@ namespace ImageSharp.Processing.Processors
                     if (i == midpointRounded)
                     {
                         // Calculate central value
-                        kernel[0][i] = (2f * sum) - kernel[0][i];
+                        kernel[0, i] = (2F * sum) - kernel[0, i];
                     }
                     else
                     {
                         // invert value
-                        kernel[0][i] = -kernel[0][i];
+                        kernel[0, i] = -kernel[0, i];
                     }
                 }
             }
@@ -146,12 +143,12 @@ namespace ImageSharp.Processing.Processors
                     if (i == midpointRounded)
                     {
                         // Calculate central value
-                        kernel[i][0] = (2 * sum) - kernel[i][0];
+                        kernel[i, 0] = (2 * sum) - kernel[i, 0];
                     }
                     else
                     {
                         // invert value
-                        kernel[i][0] = -kernel[i][0];
+                        kernel[i, 0] = -kernel[i, 0];
                     }
                 }
             }
@@ -161,14 +158,14 @@ namespace ImageSharp.Processing.Processors
             {
                 for (int i = 0; i < size; i++)
                 {
-                    kernel[0][i] = kernel[0][i] / sum;
+                    kernel[0, i] = kernel[0, i] / sum;
                 }
             }
             else
             {
                 for (int i = 0; i < size; i++)
                 {
-                    kernel[i][0] = kernel[i][0] / sum;
+                    kernel[i, 0] = kernel[i, 0] / sum;
                 }
             }
 

src/ImageSharp/Common/Helpers/Fast2DArray{T}.cs

@@ -30,6 +30,22 @@ namespace ImageSharp
         /// </summary>
         public int Height;
 
+        /// <summary>
+        /// Initializes a new instance of the <see cref="Fast2DArray{T}" /> struct.
+        /// </summary>
+        /// <param name="width">The width.</param>
+        /// <param name="height">The height.</param>
+        public Fast2DArray(int width, int height)
+        {
+            this.Height = height;
+            this.Width = width;
+
+            Guard.MustBeGreaterThan(width, 0, nameof(width));
+            Guard.MustBeGreaterThan(height, 0, nameof(height));
+
+            this.Data = new T[this.Width * this.Height];
+        }
+
         /// <summary>
         /// Initializes a new instance of the <see cref="Fast2DArray{T}"/> struct.
         /// </summary>
@@ -77,6 +93,19 @@ namespace ImageSharp
             }
         }
 
+        /// <summary>
+        /// Performs an implicit conversion from a 2D array to a <see cref="ImageSharp.Fast2DArray{T}" />.
+        /// </summary>
+        /// <param name="data">The source array.</param>
+        /// <returns>
+        /// The <see cref="ImageSharp.Fast2DArray{T}"/> represenation on the source data.
+        /// </returns>
+        [MethodImpl(MethodImplOptions.AggressiveInlining)]
+        public static implicit operator Fast2DArray<T>(T[,] data)
+        {
+            return new Fast2DArray<T>(data);
+        }
+
         /// <summary>
         /// Checks the coordinates to ensure they are within bounds.
         /// </summary>

src/ImageSharp/Common/Helpers/ImageMaths.cs

@@ -37,6 +37,7 @@ namespace ImageSharp
         /// <returns>
         /// The <see cref="int"/>
         /// </returns>
+        [MethodImpl(MethodImplOptions.AggressiveInlining)]
         public static int GetBitsNeededForColorDepth(int colors)
         {
             return (int)Math.Ceiling(Math.Log(colors, 2));
@@ -48,6 +49,7 @@ namespace ImageSharp
         /// <param name="x">The x provided to G(x).</param>
         /// <param name="sigma">The spread of the blur.</param>
         /// <returns>The Gaussian G(x)</returns>
+        [MethodImpl(MethodImplOptions.AggressiveInlining)]
         public static float Gaussian(float x, float sigma)
         {
             const float Numerator = 1.0f;
@@ -72,6 +74,7 @@ namespace ImageSharp
         /// <returns>
         /// The <see cref="float"/>.
         /// </returns>
+        [MethodImpl(MethodImplOptions.AggressiveInlining)]
         public static float GetBcValue(float x, float b, float c)
         {
             float temp;
@@ -104,6 +107,7 @@ namespace ImageSharp
         /// <returns>
         /// The <see cref="float"/>.
         /// </returns>
+        [MethodImpl(MethodImplOptions.AggressiveInlining)]
         public static float SinC(float x)
         {
             if (Math.Abs(x) > Constants.Epsilon)
@@ -122,6 +126,7 @@ namespace ImageSharp
         /// <returns>
         /// The <see cref="float"/> representing the degree as radians.
         /// </returns>
+        [MethodImpl(MethodImplOptions.AggressiveInlining)]
         public static float DegreesToRadians(float degrees)
         {
             return degrees * (float)(Math.PI / 180);
@@ -139,6 +144,7 @@ namespace ImageSharp
         /// <returns>
         /// The bounding <see cref="Rectangle"/>.
         /// </returns>
+        [MethodImpl(MethodImplOptions.AggressiveInlining)]
         public static Rectangle GetBoundingRectangle(Point topLeft, Point bottomRight)
         {
             return new Rectangle(topLeft.X, topLeft.Y, bottomRight.X - topLeft.X, bottomRight.Y - topLeft.Y);

src/ImageSharp/Dithering/ErrorDiffusion/Atkinson.cs

@@ -15,12 +15,12 @@ namespace ImageSharp.Dithering
         /// The diffusion matrix
         /// </summary>
         private static readonly Fast2DArray<float> AtkinsonMatrix =
-            new Fast2DArray<float>(new float[,]
+            new float[,]
             {
                { 0, 0, 1, 1 },
                { 1, 1, 1, 0 },
                { 0, 1, 0, 0 }
-            });
+            };
 
         /// <summary>
         /// Initializes a new instance of the <see cref="Atkinson"/> class.

src/ImageSharp/Dithering/ErrorDiffusion/Burks.cs

@@ -15,11 +15,11 @@ namespace ImageSharp.Dithering
         /// The diffusion matrix
         /// </summary>
         private static readonly Fast2DArray<float> BurksMatrix =
-            new Fast2DArray<float>(new float[,]
+            new float[,]
             {
                 { 0, 0, 0, 8, 4 },
                 { 2, 4, 8, 4, 2 }
-            });
+            };
 
         /// <summary>
         /// Initializes a new instance of the <see cref="Burks"/> class.

src/ImageSharp/Dithering/ErrorDiffusion/FloydSteinberg.cs

@@ -15,11 +15,11 @@ namespace ImageSharp.Dithering
         /// The diffusion matrix
         /// </summary>
         private static readonly Fast2DArray<float> FloydSteinbergMatrix =
-            new Fast2DArray<float>(new float[,]
+            new float[,]
             {
                 { 0, 0, 7 },
                 { 3, 5, 1 }
-            });
+            };
 
         /// <summary>
         /// Initializes a new instance of the <see cref="FloydSteinberg"/> class.

src/ImageSharp/Dithering/ErrorDiffusion/JarvisJudiceNinke.cs

@@ -15,12 +15,12 @@ namespace ImageSharp.Dithering
         /// The diffusion matrix
         /// </summary>
         private static readonly Fast2DArray<float> JarvisJudiceNinkeMatrix =
-            new Fast2DArray<float>(new float[,]
+            new float[,]
             {
                 { 0, 0, 0, 7, 5 },
                 { 3, 5, 7, 5, 3 },
                 { 1, 3, 5, 3, 1 }
-            });
+            };
 
         /// <summary>
         /// Initializes a new instance of the <see cref="JarvisJudiceNinke"/> class.

src/ImageSharp/Dithering/ErrorDiffusion/Sierra2.cs

@@ -15,11 +15,11 @@ namespace ImageSharp.Dithering
         /// The diffusion matrix
         /// </summary>
         private static readonly Fast2DArray<float> Sierra2Matrix =
-            new Fast2DArray<float>(new float[,]
+            new float[,]
             {
                { 0, 0, 0, 4, 3 },
                { 1, 2, 3, 2, 1 }
-            });
+            };
 
         /// <summary>
         /// Initializes a new instance of the <see cref="Sierra2"/> class.

src/ImageSharp/Dithering/ErrorDiffusion/Sierra3.cs

@@ -15,12 +15,12 @@ namespace ImageSharp.Dithering
         /// The diffusion matrix
         /// </summary>
         private static readonly Fast2DArray<float> Sierra3Matrix =
-            new Fast2DArray<float>(new float[,]
+            new float[,]
             {
                { 0, 0, 0, 5, 3 },
                { 2, 4, 5, 4, 2 },
                { 0, 2, 3, 2, 0 }
-            });
+            };
 
         /// <summary>
         /// Initializes a new instance of the <see cref="Sierra3"/> class.

src/ImageSharp/Dithering/ErrorDiffusion/SierraLite.cs

@@ -15,11 +15,11 @@ namespace ImageSharp.Dithering
         /// The diffusion matrix
         /// </summary>
         private static readonly Fast2DArray<float> SierraLiteMatrix =
-            new Fast2DArray<float>(new float[,]
+            new float[,]
             {
                { 0, 0, 2 },
                { 1, 1, 0 }
-            });
+            };
 
         /// <summary>
         /// Initializes a new instance of the <see cref="SierraLite"/> class.

src/ImageSharp/Dithering/ErrorDiffusion/Stucki.cs

@@ -15,12 +15,12 @@ namespace ImageSharp.Dithering
         /// The diffusion matrix
         /// </summary>
         private static readonly Fast2DArray<float> StuckiMatrix =
-            new Fast2DArray<float>(new float[,]
+            new float[,]
             {
                { 0, 0, 0, 8, 4 },
                { 2, 4, 8, 4, 2 },
                { 1, 2, 4, 2, 1 }
-            });
+            };
 
         /// <summary>
         /// Initializes a new instance of the <see cref="Stucki"/> class.

src/ImageSharp/Dithering/Ordered/Bayer.cs

@@ -18,13 +18,13 @@ namespace ImageSharp.Dithering.Ordered
         /// This is calculated by multiplying each value in the original matrix by 16 and subtracting 1
         /// </summary>
         private static readonly Fast2DArray<byte> ThresholdMatrix =
-            new Fast2DArray<byte>(new byte[,]
+            new byte[,]
             {
                 { 15, 143, 47, 175 },
                 { 207, 79, 239, 111 },
                 { 63, 191, 31, 159 },
                 { 255, 127, 223, 95 }
-            });
+            };
 
         /// <inheritdoc />
         public Fast2DArray<byte> Matrix { get; } = ThresholdMatrix;

src/ImageSharp/Dithering/Ordered/Ordered.cs

@@ -18,13 +18,13 @@ namespace ImageSharp.Dithering.Ordered
         /// This is calculated by multiplying each value in the original matrix by 16
         /// </summary>
         private static readonly Fast2DArray<byte> ThresholdMatrix =
-            new Fast2DArray<byte>(new byte[,]
+            new byte[,]
             {
                { 0, 128, 32, 160 },
                { 192, 64, 224, 96 },
                { 48, 176, 16, 144 },
                { 240, 112, 208, 80 }
-            });
+            };
 
         /// <inheritdoc />
         public Fast2DArray<byte> Matrix { get; } = ThresholdMatrix;

tests/ImageSharp.Benchmarks/General/Array2D.cs

@@ -5,25 +5,31 @@
 
 namespace ImageSharp.Benchmarks.General
 {
+    using System;
+
     using BenchmarkDotNet.Attributes;
 
     public class Array2D
     {
-        private float[,] data;
+        private float[] flatArray;
+
+        private float[,] array2D;
 
         private float[][] jaggedData;
 
         private Fast2DArray<float> fastData;
-
-        [Params(10, 100, 1000, 10000)]
+        
+        [Params(4, 16, 128)]
         public int Count { get; set; }
 
-        public int Index { get; set; }
+        public int Min { get; private set; }
+        public int Max { get; private set; }
 
         [Setup]
         public void SetUp()
         {
-            this.data = new float[this.Count, this.Count];
+            this.flatArray = new float[this.Count * this.Count];
+            this.array2D = new float[this.Count, this.Count];
             this.jaggedData = new float[this.Count][];
 
             for (int i = 0; i < this.Count; i++)
@@ -31,27 +37,72 @@ namespace ImageSharp.Benchmarks.General
                 this.jaggedData[i] = new float[this.Count];
             }
 
-            this.fastData = new Fast2DArray<float>(this.data);
+            this.fastData = new Fast2DArray<float>(this.array2D);
 
-            this.Index = this.Count / 2;
+            this.Min = this.Count / 2 - 10;
+            this.Min = Math.Max(0, this.Min);
+            this.Max = this.Min + Math.Min(10, this.Count);
+        }
+
+        [Benchmark(Description = "Emulated 2D array access using flat array")]
+        public float FlatArrayIndex()
+        {
+            float[] a = this.flatArray;
+            float s = 0;
+            int count = this.Count;
+            for (int i = this.Min; i < this.Max; i++)
+            {
+                for (int j = this.Min; j < this.Max; j++)
+                {
+                    s += a[count * i + j];
+                }
+            }
+            return s;
         }
 
         [Benchmark(Baseline = true, Description = "Array access using 2D array")]
-        public float ArrayIndex()
+        public float Array2DIndex()
         {
-            return this.data[this.Index, this.Index];
+            float s = 0;
+            float[,] a = this.array2D;
+            for (int i = this.Min; i < this.Max; i++)
+            {
+                for (int j = this.Min; j < this.Max; j++)
+                {
+                    s += a[i, j];
+                }
+            }
+            return s;
         }
 
         [Benchmark(Description = "Array access using a jagged array")]
         public float ArrayJaggedIndex()
         {
-            return this.jaggedData[this.Index][this.Index];
+            float s = 0;
+            float[][] a = this.jaggedData;
+            for (int i = this.Min; i < this.Max; i++)
+            {
+                for (int j = this.Min; j < this.Max; j++)
+                {
+                    s += a[i][j];
+                }
+            }
+            return s;
         }
 
         [Benchmark(Description = "Array access using Fast2DArray")]
         public float ArrayFastIndex()
         {
-            return this.fastData[this.Index, this.Index];
+            float s = 0;
+            Fast2DArray<float> a = this.fastData;
+            for (int i = this.Min; i < this.Max; i++)
+            {
+                for (int j = this.Min; j < this.Max; j++)
+                {
+                    s += a[i, j];
+                }
+            }
+            return s;
         }
     }
 }

tests/ImageSharp.Tests/Common/Fast2DArrayTests.cs

@@ -21,9 +21,27 @@ namespace ImageSharp.Tests.Common
         public void Fast2DArrayThrowsOnNullInitializer()
         {
             Assert.Throws<ArgumentNullException>(() =>
-                {
-                    Fast2DArray<float> fast = new Fast2DArray<float>(null);
-                });
+            {
+                Fast2DArray<float> fast = new Fast2DArray<float>(null);
+            });
+        }
+
+        [Fact]
+        public void Fast2DArrayThrowsOnEmptyZeroWidth()
+        {
+            Assert.Throws<ArgumentOutOfRangeException>(() =>
+            {
+                Fast2DArray<float> fast = new Fast2DArray<float>(0, 10);
+            });
+        }
+
+        [Fact]
+        public void Fast2DArrayThrowsOnEmptyZeroHeight()
+        {
+            Assert.Throws<ArgumentOutOfRangeException>(() =>
+            {
+                Fast2DArray<float> fast = new Fast2DArray<float>(10, 0);
+            });
         }
 
         [Fact]
@@ -46,7 +64,7 @@ namespace ImageSharp.Tests.Common
         [Fact]
         public void Fast2DArrayGetReturnsCorrectResults()
         {
-            Fast2DArray<float> fast = new Fast2DArray<float>(FloydSteinbergMatrix);
+            Fast2DArray<float> fast = FloydSteinbergMatrix;
 
             for (int row = 0; row < fast.Height; row++)
             {
@@ -60,7 +78,7 @@ namespace ImageSharp.Tests.Common
         [Fact]
         public void Fast2DArrayGetSetReturnsCorrectResults()
         {
-            Fast2DArray<float> fast = new Fast2DArray<float>(new float[4, 4]);
+            Fast2DArray<float> fast = new Fast2DArray<float>(4, 4);
             const float Val = 5F;
 
             fast[3, 3] = Val;