Simplify Resamplers

src/ImageSharp/Common/Helpers/ImageMaths.cs

@@ -242,40 +242,6 @@ namespace SixLabors.ImageSharp
             return 1F;
         }
 
-        /// <summary>
-        /// Returns the result of a B-C filter against the given value.
-        /// <see href="http://www.imagemagick.org/Usage/filter/#cubic_bc"/>
-        /// </summary>
-        /// <param name="x">The value to process.</param>
-        /// <param name="b">The B-Spline curve variable.</param>
-        /// <param name="c">The Cardinal curve variable.</param>
-        /// <returns>
-        /// The <see cref="float"/>.
-        /// </returns>
-        [MethodImpl(InliningOptions.ShortMethod)]
-        public static float GetBcValue(float x, float b, float c)
-        {
-            if (x < 0F)
-            {
-                x = -x;
-            }
-
-            float temp = x * x;
-            if (x < 1F)
-            {
-                x = ((12 - (9 * b) - (6 * c)) * (x * temp)) + ((-18 + (12 * b) + (6 * c)) * temp) + (6 - (2 * b));
-                return x / 6F;
-            }
-
-            if (x < 2F)
-            {
-                x = ((-b - (6 * c)) * (x * temp)) + (((6 * b) + (30 * c)) * temp) + (((-12 * b) - (48 * c)) * x) + ((8 * b) + (24 * c));
-                return x / 6F;
-            }
-
-            return 0F;
-        }
-
         /// <summary>
         /// Gets the bounding <see cref="Rectangle"/> from the given points.
         /// </summary>

src/ImageSharp/Processing/KnownResamplers.cs

@@ -24,43 +24,43 @@ namespace SixLabors.ImageSharp.Processing
         /// <summary>
         /// Gets the Catmull-Rom sampler, a well known standard Cubic Filter often used as a interpolation function
         /// </summary>
-        public static IResampler CatmullRom { get; } = default(CatmullRomResampler);
+        public static IResampler CatmullRom { get; } = CubicResampler.CatmullRom;
 
         /// <summary>
         /// Gets the Hermite sampler. A type of smoothed triangular interpolation filter that rounds off strong edges while
         /// preserving flat 'color levels' in the original image.
         /// </summary>
-        public static IResampler Hermite { get; } = default(HermiteResampler);
+        public static IResampler Hermite { get; } = CubicResampler.Hermite;
 
         /// <summary>
         /// Gets the Lanczos kernel sampler that implements smooth interpolation with a radius of 2 pixels.
         /// This algorithm provides sharpened results when compared to others when downsampling.
         /// </summary>
-        public static IResampler Lanczos2 { get; } = default(Lanczos2Resampler);
+        public static IResampler Lanczos2 { get; } = LanczosResampler.Lanczos2;
 
         /// <summary>
         /// Gets the Lanczos kernel sampler that implements smooth interpolation with a radius of 3 pixels
         /// This algorithm provides sharpened results when compared to others when downsampling.
         /// </summary>
-        public static IResampler Lanczos3 { get; } = default(Lanczos3Resampler);
+        public static IResampler Lanczos3 { get; } = LanczosResampler.Lanczos3;
 
         /// <summary>
         /// Gets the Lanczos kernel sampler that implements smooth interpolation with a radius of 5 pixels
         /// This algorithm provides sharpened results when compared to others when downsampling.
         /// </summary>
-        public static IResampler Lanczos5 { get; } = default(Lanczos5Resampler);
+        public static IResampler Lanczos5 { get; } = LanczosResampler.Lanczos5;
 
         /// <summary>
         /// Gets the Lanczos kernel sampler that implements smooth interpolation with a radius of 8 pixels
         /// This algorithm provides sharpened results when compared to others when downsampling.
         /// </summary>
-        public static IResampler Lanczos8 { get; } = default(Lanczos8Resampler);
+        public static IResampler Lanczos8 { get; } = LanczosResampler.Lanczos8;
 
         /// <summary>
         /// Gets the Mitchell-Netravali sampler. This seperable cubic algorithm yields a very good equilibrium between
         /// detail preservation (sharpness) and smoothness.
         /// </summary>
-        public static IResampler MitchellNetravali { get; } = default(MitchellNetravaliResampler);
+        public static IResampler MitchellNetravali { get; } = CubicResampler.MitchellNetravali;
 
         /// <summary>
         /// Gets the Nearest-Neighbour sampler that implements the nearest neighbor algorithm. This uses a very fast, unscaled filter
@@ -72,17 +72,17 @@ namespace SixLabors.ImageSharp.Processing
         /// Gets the Robidoux sampler. This algorithm developed by Nicolas Robidoux providing a very good equilibrium between
         /// detail preservation (sharpness) and smoothness comparable to <see cref="MitchellNetravali"/>.
         /// </summary>
-        public static IResampler Robidoux { get; } = default(RobidouxResampler);
+        public static IResampler Robidoux { get; } = CubicResampler.Robidoux;
 
         /// <summary>
         /// Gets the Robidoux Sharp sampler. A sharpened form of the <see cref="Robidoux"/> sampler
         /// </summary>
-        public static IResampler RobidouxSharp { get; } = default(RobidouxSharpResampler);
+        public static IResampler RobidouxSharp { get; } = CubicResampler.RobidouxSharp;
 
         /// <summary>
-        /// Gets the Spline sampler. A seperable cubic algorithm similar to <see cref="MitchellNetravali"/> but yielding smoother results.
+        /// Gets the Spline sampler. A separable cubic algorithm similar to <see cref="MitchellNetravali"/> but yielding smoother results.
         /// </summary>
-        public static IResampler Spline { get; } = default(SplineResampler);
+        public static IResampler Spline { get; } = CubicResampler.Spline;
 
         /// <summary>
         /// Gets the Triangle sampler, otherwise known as Bilinear. This interpolation algorithm can be used where perfect image transformation

src/ImageSharp/Processing/Processors/Transforms/Resamplers/CatmullRomResampler.cs

@@ -1,77 +0,0 @@
-// Copyright (c) Six Labors and contributors.
-// Licensed under the Apache License, Version 2.0.
-
-using System.Numerics;
-using System.Runtime.CompilerServices;
-using SixLabors.ImageSharp.PixelFormats;
-
-namespace SixLabors.ImageSharp.Processing.Processors.Transforms
-{
-    /// <summary>
-    /// The Catmull-Rom filter is a well known standard Cubic Filter often used as a interpolation function.
-    /// This filter produces a reasonably sharp edge, but without a the pronounced gradient change on large
-    /// scale image enlargements that a 'Lagrange' filter can produce.
-    /// <see href="http://www.imagemagick.org/Usage/filter/#cubic_bc"/>
-    /// </summary>
-    public readonly struct CatmullRomResampler : IResampler
-    {
-        /// <inheritdoc/>
-        public float Radius => 2;
-
-        /// <inheritdoc/>
-        [MethodImpl(InliningOptions.ShortMethod)]
-        public float GetValue(float x)
-        {
-            const float B = 0;
-            const float C = 0.5F;
-
-            return ImageMaths.GetBcValue(x, B, C);
-        }
-
-        /// <inheritdoc/>
-        [MethodImpl(InliningOptions.ShortMethod)]
-        public void ApplyResizeTransform<TPixel>(
-            Configuration configuration,
-            Image<TPixel> source,
-            Image<TPixel> destination,
-            Rectangle sourceRectangle,
-            Rectangle destinationRectangle,
-            bool compand)
-            where TPixel : struct, IPixel<TPixel> => ResamplerExtensions.ApplyResizeTransform(
-                configuration,
-                in this,
-                source,
-                destination,
-                sourceRectangle,
-                destinationRectangle,
-                compand);
-
-        /// <inheritdoc/>
-        [MethodImpl(InliningOptions.ShortMethod)]
-        public void ApplyAffineTransform<TPixel>(
-            Configuration configuration,
-            ImageFrame<TPixel> source,
-            ImageFrame<TPixel> destination,
-            Matrix3x2 matrix)
-            where TPixel : struct, IPixel<TPixel> => ResamplerExtensions.ApplyAffineTransform(
-                configuration,
-                in this,
-                source,
-                destination,
-                matrix);
-
-        /// <inheritdoc/>
-        [MethodImpl(InliningOptions.ShortMethod)]
-        public void ApplyProjectiveTransform<TPixel>(
-            Configuration configuration,
-            ImageFrame<TPixel> source,
-            ImageFrame<TPixel> destination,
-            Matrix4x4 matrix)
-            where TPixel : struct, IPixel<TPixel> => ResamplerExtensions.ApplyProjectiveTransform(
-                configuration,
-                in this,
-                source,
-                destination,
-                matrix);
-    }
-}

src/ImageSharp/Processing/Processors/Transforms/Resamplers/CubicResampler.cs

@@ -0,0 +1,153 @@
+// Copyright (c) Six Labors and contributors.
+// Licensed under the Apache License, Version 2.0.
+
+using System.Numerics;
+using System.Runtime.CompilerServices;
+using SixLabors.ImageSharp.PixelFormats;
+
+namespace SixLabors.ImageSharp.Processing.Processors.Transforms
+{
+    /// <summary>
+    /// Cubic filters contain a collection of different filters of varying B-Spline and
+    /// Cardinal values. With these two values you can generate any smoothly fitting
+    /// (continuious first derivative) piece-wise cubic filter.
+    /// <see href="http://www.imagemagick.org/Usage/filter/#cubic_bc"/>
+    /// <see href="https://www.cs.utexas.edu/~fussell/courses/cs384g-fall2013/lectures/mitchell/Mitchell.pdf"/>
+    /// </summary>
+    public readonly struct CubicResampler : IResampler
+    {
+        private readonly float bspline;
+        private readonly float cardinal;
+
+        /// <summary>
+        /// The Catmull-Rom filter is a well known standard Cubic Filter often used as a interpolation function.
+        /// This filter produces a reasonably sharp edge, but without a the pronounced gradient change on large
+        /// scale image enlargements that a 'Lagrange' filter can produce.
+        /// </summary>
+        public static CubicResampler CatmullRom = new CubicResampler(2, 0, .5F);
+
+        /// <summary>
+        /// The Hermite filter is type of smoothed triangular interpolation Filter,
+        /// This filter rounds off strong edges while preserving flat 'color levels' in the original image.
+        /// </summary>
+        public static CubicResampler Hermite = new CubicResampler(2, 0, 0);
+
+        /// <summary>
+        /// The function implements the Mitchell-Netravali algorithm as described on
+        /// <see href="https://de.wikipedia.org/wiki/Mitchell-Netravali-Filter">Wikipedia</see>
+        /// </summary>
+        public static CubicResampler MitchellNetravali = new CubicResampler(2, .3333333F, .3333333F);
+
+        /// <summary>
+        /// The function implements the Robidoux algorithm.
+        /// <see href="http://www.imagemagick.org/Usage/filter/#robidoux"/>
+        /// </summary>
+        public static CubicResampler Robidoux = new CubicResampler(2, .37821575509399867F, .31089212245300067F);
+
+        /// <summary>
+        /// The function implements the Robidoux Sharp algorithm.
+        /// <see href="http://www.imagemagick.org/Usage/filter/#robidoux"/>
+        /// </summary>
+        public static CubicResampler RobidouxSharp = new CubicResampler(2, .2620145123990142F, .3689927438004929F);
+
+        /// <summary>
+        /// The function implements the spline algorithm.
+        /// <see href="http://www.imagemagick.org/Usage/filter/#cubic_bc"/>
+        /// </summary>
+        /// <summary>
+        /// The function implements the Robidoux Sharp algorithm.
+        /// <see href="http://www.imagemagick.org/Usage/filter/#robidoux"/>
+        /// </summary>
+        public static CubicResampler Spline = new CubicResampler(2, 1, 0);
+
+        /// <summary>
+        /// Initializes a new instance of the <see cref="CubicResampler"/> struct.
+        /// </summary>
+        /// <param name="radius">The sampling radius.</param>
+        /// <param name="bspline">The B-Spline value.</param>
+        /// <param name="cardinal">The Cardinal cubic value.</param>
+        public CubicResampler(float radius, float bspline, float cardinal)
+        {
+            this.Radius = radius;
+            this.bspline = bspline;
+            this.cardinal = cardinal;
+        }
+
+        /// <inheritdoc/>
+        public float Radius { get; }
+
+        /// <inheritdoc/>
+        [MethodImpl(InliningOptions.ShortMethod)]
+        public float GetValue(float x)
+        {
+            float b = this.bspline;
+            float c = this.cardinal;
+
+            if (x < 0F)
+            {
+                x = -x;
+            }
+
+            float temp = x * x;
+            if (x < 1F)
+            {
+                x = ((12 - (9 * b) - (6 * c)) * (x * temp)) + ((-18 + (12 * b) + (6 * c)) * temp) + (6 - (2 * b));
+                return x / 6F;
+            }
+
+            if (x < 2F)
+            {
+                x = ((-b - (6 * c)) * (x * temp)) + (((6 * b) + (30 * c)) * temp) + (((-12 * b) - (48 * c)) * x) + ((8 * b) + (24 * c));
+                return x / 6F;
+            }
+
+            return 0F;
+        }
+
+        /// <inheritdoc/>
+        [MethodImpl(InliningOptions.ShortMethod)]
+        public void ApplyResizeTransform<TPixel>(
+            Configuration configuration,
+            Image<TPixel> source,
+            Image<TPixel> destination,
+            Rectangle sourceRectangle,
+            Rectangle destinationRectangle,
+            bool compand)
+            where TPixel : struct, IPixel<TPixel> => ResamplerExtensions.ApplyResizeTransform(
+                configuration,
+                in this,
+                source,
+                destination,
+                sourceRectangle,
+                destinationRectangle,
+                compand);
+
+        /// <inheritdoc/>
+        [MethodImpl(InliningOptions.ShortMethod)]
+        public void ApplyAffineTransform<TPixel>(
+            Configuration configuration,
+            ImageFrame<TPixel> source,
+            ImageFrame<TPixel> destination,
+            Matrix3x2 matrix)
+            where TPixel : struct, IPixel<TPixel> => ResamplerExtensions.ApplyAffineTransform(
+                configuration,
+                in this,
+                source,
+                destination,
+                matrix);
+
+        /// <inheritdoc/>
+        [MethodImpl(InliningOptions.ShortMethod)]
+        public void ApplyProjectiveTransform<TPixel>(
+            Configuration configuration,
+            ImageFrame<TPixel> source,
+            ImageFrame<TPixel> destination,
+            Matrix4x4 matrix)
+            where TPixel : struct, IPixel<TPixel> => ResamplerExtensions.ApplyProjectiveTransform(
+                configuration,
+                in this,
+                source,
+                destination,
+                matrix);
+    }
+}

src/ImageSharp/Processing/Processors/Transforms/Resamplers/HermiteResampler.cs

@@ -1,76 +0,0 @@
-// Copyright (c) Six Labors and contributors.
-// Licensed under the Apache License, Version 2.0.
-
-using System.Numerics;
-using System.Runtime.CompilerServices;
-using SixLabors.ImageSharp.PixelFormats;
-
-namespace SixLabors.ImageSharp.Processing.Processors.Transforms
-{
-    /// <summary>
-    /// The Hermite filter is type of smoothed triangular interpolation Filter,
-    /// This filter rounds off strong edges while preserving flat 'color levels' in the original image.
-    /// <see href="http://www.imagemagick.org/Usage/filter/#cubic_bc"/>
-    /// </summary>
-    public readonly struct HermiteResampler : IResampler
-    {
-        /// <inheritdoc/>
-        public float Radius => 2;
-
-        /// <inheritdoc/>
-        [MethodImpl(InliningOptions.ShortMethod)]
-        public float GetValue(float x)
-        {
-            const float B = 0F;
-            const float C = 0F;
-
-            return ImageMaths.GetBcValue(x, B, C);
-        }
-
-        /// <inheritdoc/>
-        [MethodImpl(InliningOptions.ShortMethod)]
-        public void ApplyResizeTransform<TPixel>(
-            Configuration configuration,
-            Image<TPixel> source,
-            Image<TPixel> destination,
-            Rectangle sourceRectangle,
-            Rectangle destinationRectangle,
-            bool compand)
-            where TPixel : struct, IPixel<TPixel> => ResamplerExtensions.ApplyResizeTransform(
-                configuration,
-                in this,
-                source,
-                destination,
-                sourceRectangle,
-                destinationRectangle,
-                compand);
-
-        /// <inheritdoc/>
-        [MethodImpl(InliningOptions.ShortMethod)]
-        public void ApplyAffineTransform<TPixel>(
-            Configuration configuration,
-            ImageFrame<TPixel> source,
-            ImageFrame<TPixel> destination,
-            Matrix3x2 matrix)
-            where TPixel : struct, IPixel<TPixel> => ResamplerExtensions.ApplyAffineTransform(
-                configuration,
-                in this,
-                source,
-                destination,
-                matrix);
-
-        /// <inheritdoc/>
-        [MethodImpl(InliningOptions.ShortMethod)]
-        public void ApplyProjectiveTransform<TPixel>(
-            Configuration configuration,
-            ImageFrame<TPixel> source,
-            ImageFrame<TPixel> destination,
-            Matrix4x4 matrix)
-            where TPixel : struct, IPixel<TPixel> => ResamplerExtensions.ApplyProjectiveTransform(
-                configuration,
-                in this,
-                source,
-                destination,
-                matrix);
-    }
-}

src/ImageSharp/Processing/Processors/Transforms/Resamplers/Lanczos2Resampler.cs

@@ -1,83 +0,0 @@
-// Copyright (c) Six Labors and contributors.
-// Licensed under the Apache License, Version 2.0.
-
-using System.Numerics;
-using System.Runtime.CompilerServices;
-using SixLabors.ImageSharp.PixelFormats;
-
-namespace SixLabors.ImageSharp.Processing.Processors.Transforms
-{
-    /// <summary>
-    /// The function implements the Lanczos kernel algorithm as described on
-    /// <see href="https://en.wikipedia.org/wiki/Lanczos_resampling#Algorithm">Wikipedia</see>
-    /// with a radius of 2 pixels.
-    /// </summary>
-    public readonly struct Lanczos2Resampler : IResampler
-    {
-        /// <inheritdoc/>
-        public float Radius => 2;
-
-        /// <inheritdoc/>
-        [MethodImpl(InliningOptions.ShortMethod)]
-        public float GetValue(float x)
-        {
-            if (x < 0F)
-            {
-                x = -x;
-            }
-
-            if (x < 2F)
-            {
-                return ImageMaths.SinC(x) * ImageMaths.SinC(x / 2F);
-            }
-
-            return 0F;
-        }
-
-        /// <inheritdoc/>
-        [MethodImpl(InliningOptions.ShortMethod)]
-        public void ApplyResizeTransform<TPixel>(
-            Configuration configuration,
-            Image<TPixel> source,
-            Image<TPixel> destination,
-            Rectangle sourceRectangle,
-            Rectangle destinationRectangle,
-            bool compand)
-            where TPixel : struct, IPixel<TPixel> => ResamplerExtensions.ApplyResizeTransform(
-                configuration,
-                in this,
-                source,
-                destination,
-                sourceRectangle,
-                destinationRectangle,
-                compand);
-
-        /// <inheritdoc/>
-        [MethodImpl(InliningOptions.ShortMethod)]
-        public void ApplyAffineTransform<TPixel>(
-            Configuration configuration,
-            ImageFrame<TPixel> source,
-            ImageFrame<TPixel> destination,
-            Matrix3x2 matrix)
-            where TPixel : struct, IPixel<TPixel> => ResamplerExtensions.ApplyAffineTransform(
-                configuration,
-                in this,
-                source,
-                destination,
-                matrix);
-
-        /// <inheritdoc/>
-        [MethodImpl(InliningOptions.ShortMethod)]
-        public void ApplyProjectiveTransform<TPixel>(
-            Configuration configuration,
-            ImageFrame<TPixel> source,
-            ImageFrame<TPixel> destination,
-            Matrix4x4 matrix)
-            where TPixel : struct, IPixel<TPixel> => ResamplerExtensions.ApplyProjectiveTransform(
-                configuration,
-                in this,
-                source,
-                destination,
-                matrix);
-    }
-}

src/ImageSharp/Processing/Processors/Transforms/Resamplers/Lanczos3Resampler.cs

@@ -1,83 +0,0 @@
-// Copyright (c) Six Labors and contributors.
-// Licensed under the Apache License, Version 2.0.
-
-using System.Numerics;
-using System.Runtime.CompilerServices;
-using SixLabors.ImageSharp.PixelFormats;
-
-namespace SixLabors.ImageSharp.Processing.Processors.Transforms
-{
-    /// <summary>
-    /// The function implements the Lanczos kernel algorithm as described on
-    /// <see href="https://en.wikipedia.org/wiki/Lanczos_resampling#Algorithm">Wikipedia</see>
-    /// with a radius of 3 pixels.
-    /// </summary>
-    public readonly struct Lanczos3Resampler : IResampler
-    {
-        /// <inheritdoc/>
-        public float Radius => 3;
-
-        /// <inheritdoc/>
-        [MethodImpl(InliningOptions.ShortMethod)]
-        public float GetValue(float x)
-        {
-            if (x < 0F)
-            {
-                x = -x;
-            }
-
-            if (x < 3F)
-            {
-                return ImageMaths.SinC(x) * ImageMaths.SinC(x / 3F);
-            }
-
-            return 0F;
-        }
-
-        /// <inheritdoc/>
-        [MethodImpl(InliningOptions.ShortMethod)]
-        public void ApplyResizeTransform<TPixel>(
-            Configuration configuration,
-            Image<TPixel> source,
-            Image<TPixel> destination,
-            Rectangle sourceRectangle,
-            Rectangle destinationRectangle,
-            bool compand)
-            where TPixel : struct, IPixel<TPixel> => ResamplerExtensions.ApplyResizeTransform(
-                configuration,
-                in this,
-                source,
-                destination,
-                sourceRectangle,
-                destinationRectangle,
-                compand);
-
-        /// <inheritdoc/>
-        [MethodImpl(InliningOptions.ShortMethod)]
-        public void ApplyAffineTransform<TPixel>(
-            Configuration configuration,
-            ImageFrame<TPixel> source,
-            ImageFrame<TPixel> destination,
-            Matrix3x2 matrix)
-            where TPixel : struct, IPixel<TPixel> => ResamplerExtensions.ApplyAffineTransform(
-                configuration,
-                in this,
-                source,
-                destination,
-                matrix);
-
-        /// <inheritdoc/>
-        [MethodImpl(InliningOptions.ShortMethod)]
-        public void ApplyProjectiveTransform<TPixel>(
-            Configuration configuration,
-            ImageFrame<TPixel> source,
-            ImageFrame<TPixel> destination,
-            Matrix4x4 matrix)
-            where TPixel : struct, IPixel<TPixel> => ResamplerExtensions.ApplyProjectiveTransform(
-                configuration,
-                in this,
-                source,
-                destination,
-                matrix);
-    }
-}

src/ImageSharp/Processing/Processors/Transforms/Resamplers/Lanczos8Resampler.cs

@@ -1,83 +0,0 @@
-// Copyright (c) Six Labors and contributors.
-// Licensed under the Apache License, Version 2.0.
-
-using System.Numerics;
-using System.Runtime.CompilerServices;
-using SixLabors.ImageSharp.PixelFormats;
-
-namespace SixLabors.ImageSharp.Processing.Processors.Transforms
-{
-    /// <summary>
-    /// The function implements the Lanczos kernel algorithm as described on
-    /// <see href="https://en.wikipedia.org/wiki/Lanczos_resampling#Algorithm">Wikipedia</see>
-    /// with a radius of 8 pixels.
-    /// </summary>
-    public readonly struct Lanczos8Resampler : IResampler
-    {
-        /// <inheritdoc/>
-        public float Radius => 8;
-
-        /// <inheritdoc/>
-        [MethodImpl(InliningOptions.ShortMethod)]
-        public float GetValue(float x)
-        {
-            if (x < 0F)
-            {
-                x = -x;
-            }
-
-            if (x < 8F)
-            {
-                return ImageMaths.SinC(x) * ImageMaths.SinC(x / 8F);
-            }
-
-            return 0F;
-        }
-
-        /// <inheritdoc/>
-        [MethodImpl(InliningOptions.ShortMethod)]
-        public void ApplyResizeTransform<TPixel>(
-            Configuration configuration,
-            Image<TPixel> source,
-            Image<TPixel> destination,
-            Rectangle sourceRectangle,
-            Rectangle destinationRectangle,
-            bool compand)
-            where TPixel : struct, IPixel<TPixel> => ResamplerExtensions.ApplyResizeTransform(
-                configuration,
-                in this,
-                source,
-                destination,
-                sourceRectangle,
-                destinationRectangle,
-                compand);
-
-        /// <inheritdoc/>
-        [MethodImpl(InliningOptions.ShortMethod)]
-        public void ApplyAffineTransform<TPixel>(
-            Configuration configuration,
-            ImageFrame<TPixel> source,
-            ImageFrame<TPixel> destination,
-            Matrix3x2 matrix)
-            where TPixel : struct, IPixel<TPixel> => ResamplerExtensions.ApplyAffineTransform(
-                configuration,
-                in this,
-                source,
-                destination,
-                matrix);
-
-        /// <inheritdoc/>
-        [MethodImpl(InliningOptions.ShortMethod)]
-        public void ApplyProjectiveTransform<TPixel>(
-            Configuration configuration,
-            ImageFrame<TPixel> source,
-            ImageFrame<TPixel> destination,
-            Matrix4x4 matrix)
-            where TPixel : struct, IPixel<TPixel> => ResamplerExtensions.ApplyProjectiveTransform(
-                configuration,
-                in this,
-                source,
-                destination,
-                matrix);
-    }
-}

src/ImageSharp/Processing/Processors/Transforms/Resamplers/Lanczos5Resampler.cs → src/ImageSharp/Processing/Processors/Transforms/Resamplers/LanczosResampler.cs

@@ -9,13 +9,38 @@ namespace SixLabors.ImageSharp.Processing.Processors.Transforms
 {
     /// <summary>
     /// The function implements the Lanczos kernel algorithm as described on
-    /// <see href="https://en.wikipedia.org/wiki/Lanczos_resampling#Algorithm">Wikipedia</see>
+    /// <see href="https://en.wikipedia.org/wiki/Lanczos_resampling#Algorithm">Wikipedia</see>.
-    /// with a radius of 5 pixels.
     /// </summary>
-    public readonly struct Lanczos5Resampler : IResampler
+    public readonly struct LanczosResampler : IResampler
     {
+        /// <summary>
+        /// Implements the Lanczos kernel algorithm with a radius of 2.
+        /// </summary>
+        public static LanczosResampler Lanczos2 = new LanczosResampler(2);
+
+        /// <summary>
+        /// Implements the Lanczos kernel algorithm with a radius of 3.
+        /// </summary>
+        public static LanczosResampler Lanczos3 = new LanczosResampler(3);
+
+        /// <summary>
+        /// Implements the Lanczos kernel algorithm with a radius of 5.
+        /// </summary>
+        public static LanczosResampler Lanczos5 = new LanczosResampler(5);
+
+        /// <summary>
+        /// Implements the Lanczos kernel algorithm with a radius of 8.
+        /// </summary>
+        public static LanczosResampler Lanczos8 = new LanczosResampler(8);
+
+        /// <summary>
+        /// Initializes a new instance of the <see cref="LanczosResampler"/> struct.
+        /// </summary>
+        /// <param name="radius">The sampling radius.</param>
+        public LanczosResampler(float radius) => this.Radius = radius;
+
         /// <inheritdoc/>
-        public float Radius => 5;
+        public float Radius { get; }
 
         /// <inheritdoc/>
         [MethodImpl(InliningOptions.ShortMethod)]
@@ -26,9 +51,10 @@ namespace SixLabors.ImageSharp.Processing.Processors.Transforms
                 x = -x;
             }
 
-            if (x < 5F)
+            float radius = this.Radius;
+            if (x < radius)
             {
-                return ImageMaths.SinC(x) * ImageMaths.SinC(x / 5F);
+                return ImageMaths.SinC(x) * ImageMaths.SinC(x / radius);
             }
 
             return 0F;

src/ImageSharp/Processing/Processors/Transforms/Resamplers/MitchellNetravaliResampler.cs

@@ -1,74 +0,0 @@
-// Copyright (c) Six Labors and contributors.
-// Licensed under the Apache License, Version 2.0.
-
-using System.Numerics;
-using System.Runtime.CompilerServices;
-using SixLabors.ImageSharp.PixelFormats;
-
-namespace SixLabors.ImageSharp.Processing.Processors.Transforms
-{
-    /// <summary>
-    /// The function implements the mitchell algorithm as described on
-    /// <see href="https://de.wikipedia.org/wiki/Mitchell-Netravali-Filter">Wikipedia</see>
-    /// </summary>
-    public readonly struct MitchellNetravaliResampler : IResampler
-    {
-        /// <inheritdoc/>
-        public float Radius => 2;
-
-        /// <inheritdoc/>
-        public float GetValue(float x)
-        {
-            const float B = 0.3333333F;
-            const float C = 0.3333333F;
-
-            return ImageMaths.GetBcValue(x, B, C);
-        }
-
-        /// <inheritdoc/>
-        [MethodImpl(InliningOptions.ShortMethod)]
-        public void ApplyResizeTransform<TPixel>(
-            Configuration configuration,
-            Image<TPixel> source,
-            Image<TPixel> destination,
-            Rectangle sourceRectangle,
-            Rectangle destinationRectangle,
-            bool compand)
-            where TPixel : struct, IPixel<TPixel> => ResamplerExtensions.ApplyResizeTransform(
-                configuration,
-                in this,
-                source,
-                destination,
-                sourceRectangle,
-                destinationRectangle,
-                compand);
-
-        /// <inheritdoc/>
-        [MethodImpl(InliningOptions.ShortMethod)]
-        public void ApplyAffineTransform<TPixel>(
-            Configuration configuration,
-            ImageFrame<TPixel> source,
-            ImageFrame<TPixel> destination,
-            Matrix3x2 matrix)
-            where TPixel : struct, IPixel<TPixel> => ResamplerExtensions.ApplyAffineTransform(
-                configuration,
-                in this,
-                source,
-                destination,
-                matrix);
-
-        /// <inheritdoc/>
-        [MethodImpl(InliningOptions.ShortMethod)]
-        public void ApplyProjectiveTransform<TPixel>(
-            Configuration configuration,
-            ImageFrame<TPixel> source,
-            ImageFrame<TPixel> destination,
-            Matrix4x4 matrix)
-            where TPixel : struct, IPixel<TPixel> => ResamplerExtensions.ApplyProjectiveTransform(
-                configuration,
-                in this,
-                source,
-                destination,
-                matrix);
-    }
-}

src/ImageSharp/Processing/Processors/Transforms/Resamplers/RobidouxResampler.cs

@@ -1,75 +0,0 @@
-// Copyright (c) Six Labors and contributors.
-// Licensed under the Apache License, Version 2.0.
-
-using System.Numerics;
-using System.Runtime.CompilerServices;
-using SixLabors.ImageSharp.PixelFormats;
-
-namespace SixLabors.ImageSharp.Processing.Processors.Transforms
-{
-    /// <summary>
-    /// The function implements the Robidoux algorithm.
-    /// <see href="http://www.imagemagick.org/Usage/filter/#robidoux"/>
-    /// </summary>
-    public readonly struct RobidouxResampler : IResampler
-    {
-        /// <inheritdoc/>
-        public float Radius => 2;
-
-        /// <inheritdoc/>
-        [MethodImpl(InliningOptions.ShortMethod)]
-        public float GetValue(float x)
-        {
-            const float B = 0.37821575509399867F;
-            const float C = 0.31089212245300067F;
-
-            return ImageMaths.GetBcValue(x, B, C);
-        }
-
-        /// <inheritdoc/>
-        [MethodImpl(InliningOptions.ShortMethod)]
-        public void ApplyResizeTransform<TPixel>(
-            Configuration configuration,
-            Image<TPixel> source,
-            Image<TPixel> destination,
-            Rectangle sourceRectangle,
-            Rectangle destinationRectangle,
-            bool compand)
-            where TPixel : struct, IPixel<TPixel> => ResamplerExtensions.ApplyResizeTransform(
-                configuration,
-                in this,
-                source,
-                destination,
-                sourceRectangle,
-                destinationRectangle,
-                compand);
-
-        /// <inheritdoc/>
-        [MethodImpl(InliningOptions.ShortMethod)]
-        public void ApplyAffineTransform<TPixel>(
-            Configuration configuration,
-            ImageFrame<TPixel> source,
-            ImageFrame<TPixel> destination,
-            Matrix3x2 matrix)
-            where TPixel : struct, IPixel<TPixel> => ResamplerExtensions.ApplyAffineTransform(
-                configuration,
-                in this,
-                source,
-                destination,
-                matrix);
-
-        /// <inheritdoc/>
-        [MethodImpl(InliningOptions.ShortMethod)]
-        public void ApplyProjectiveTransform<TPixel>(
-            Configuration configuration,
-            ImageFrame<TPixel> source,
-            ImageFrame<TPixel> destination,
-            Matrix4x4 matrix)
-            where TPixel : struct, IPixel<TPixel> => ResamplerExtensions.ApplyProjectiveTransform(
-                configuration,
-                in this,
-                source,
-                destination,
-                matrix);
-    }
-}

src/ImageSharp/Processing/Processors/Transforms/Resamplers/RobidouxSharpResampler.cs

@@ -1,75 +0,0 @@
-// Copyright (c) Six Labors and contributors.
-// Licensed under the Apache License, Version 2.0.
-
-using System.Numerics;
-using System.Runtime.CompilerServices;
-using SixLabors.ImageSharp.PixelFormats;
-
-namespace SixLabors.ImageSharp.Processing.Processors.Transforms
-{
-    /// <summary>
-    /// The function implements the Robidoux Sharp algorithm.
-    /// <see href="http://www.imagemagick.org/Usage/filter/#robidoux"/>
-    /// </summary>
-    public readonly struct RobidouxSharpResampler : IResampler
-    {
-        /// <inheritdoc/>
-        public float Radius => 2;
-
-        /// <inheritdoc/>
-        [MethodImpl(InliningOptions.ShortMethod)]
-        public float GetValue(float x)
-        {
-            const float B = 0.2620145123990142F;
-            const float C = 0.3689927438004929F;
-
-            return ImageMaths.GetBcValue(x, B, C);
-        }
-
-        /// <inheritdoc/>
-        [MethodImpl(InliningOptions.ShortMethod)]
-        public void ApplyResizeTransform<TPixel>(
-            Configuration configuration,
-            Image<TPixel> source,
-            Image<TPixel> destination,
-            Rectangle sourceRectangle,
-            Rectangle destinationRectangle,
-            bool compand)
-            where TPixel : struct, IPixel<TPixel> => ResamplerExtensions.ApplyResizeTransform(
-                configuration,
-                in this,
-                source,
-                destination,
-                sourceRectangle,
-                destinationRectangle,
-                compand);
-
-        /// <inheritdoc/>
-        [MethodImpl(InliningOptions.ShortMethod)]
-        public void ApplyAffineTransform<TPixel>(
-            Configuration configuration,
-            ImageFrame<TPixel> source,
-            ImageFrame<TPixel> destination,
-            Matrix3x2 matrix)
-            where TPixel : struct, IPixel<TPixel> => ResamplerExtensions.ApplyAffineTransform(
-                configuration,
-                in this,
-                source,
-                destination,
-                matrix);
-
-        /// <inheritdoc/>
-        [MethodImpl(InliningOptions.ShortMethod)]
-        public void ApplyProjectiveTransform<TPixel>(
-            Configuration configuration,
-            ImageFrame<TPixel> source,
-            ImageFrame<TPixel> destination,
-            Matrix4x4 matrix)
-            where TPixel : struct, IPixel<TPixel> => ResamplerExtensions.ApplyProjectiveTransform(
-                configuration,
-                in this,
-                source,
-                destination,
-                matrix);
-    }
-}

src/ImageSharp/Processing/Processors/Transforms/Resamplers/SplineResampler.cs

@@ -1,75 +0,0 @@
-// Copyright (c) Six Labors and contributors.
-// Licensed under the Apache License, Version 2.0.
-
-using System.Numerics;
-using System.Runtime.CompilerServices;
-using SixLabors.ImageSharp.PixelFormats;
-
-namespace SixLabors.ImageSharp.Processing.Processors.Transforms
-{
-    /// <summary>
-    /// The function implements the spline algorithm.
-    /// <see href="http://www.imagemagick.org/Usage/filter/#cubic_bc"/>
-    /// </summary>
-    public readonly struct SplineResampler : IResampler
-    {
-        /// <inheritdoc/>
-        public float Radius => 2;
-
-        /// <inheritdoc/>
-        [MethodImpl(InliningOptions.ShortMethod)]
-        public float GetValue(float x)
-        {
-            const float B = 1F;
-            const float C = 0F;
-
-            return ImageMaths.GetBcValue(x, B, C);
-        }
-
-        /// <inheritdoc/>
-        [MethodImpl(InliningOptions.ShortMethod)]
-        public void ApplyResizeTransform<TPixel>(
-            Configuration configuration,
-            Image<TPixel> source,
-            Image<TPixel> destination,
-            Rectangle sourceRectangle,
-            Rectangle destinationRectangle,
-            bool compand)
-            where TPixel : struct, IPixel<TPixel> => ResamplerExtensions.ApplyResizeTransform(
-                configuration,
-                in this,
-                source,
-                destination,
-                sourceRectangle,
-                destinationRectangle,
-                compand);
-
-        /// <inheritdoc/>
-        [MethodImpl(InliningOptions.ShortMethod)]
-        public void ApplyAffineTransform<TPixel>(
-            Configuration configuration,
-            ImageFrame<TPixel> source,
-            ImageFrame<TPixel> destination,
-            Matrix3x2 matrix)
-            where TPixel : struct, IPixel<TPixel> => ResamplerExtensions.ApplyAffineTransform(
-                configuration,
-                in this,
-                source,
-                destination,
-                matrix);
-
-        /// <inheritdoc/>
-        [MethodImpl(InliningOptions.ShortMethod)]
-        public void ApplyProjectiveTransform<TPixel>(
-            Configuration configuration,
-            ImageFrame<TPixel> source,
-            ImageFrame<TPixel> destination,
-            Matrix4x4 matrix)
-            where TPixel : struct, IPixel<TPixel> => ResamplerExtensions.ApplyProjectiveTransform(
-                configuration,
-                in this,
-                source,
-                destination,
-                matrix);
-    }
-}