diff --git a/src/ImageSharp/Processing/Processors/Convolution/Convolution2DRowOperation{TPixel}.cs b/src/ImageSharp/Processing/Processors/Convolution/Convolution2DRowOperation{TPixel}.cs
index 802d1809f..dd3e98609 100644
--- a/src/ImageSharp/Processing/Processors/Convolution/Convolution2DRowOperation{TPixel}.cs
+++ b/src/ImageSharp/Processing/Processors/Convolution/Convolution2DRowOperation{TPixel}.cs
@@ -80,8 +80,8 @@ namespace SixLabors.ImageSharp.Processing.Processors.Convolution
             ref Vector4 targetBaseY = ref MemoryMarshal.GetReference(targetYBuffer);
             ref Vector4 targetBaseX = ref MemoryMarshal.GetReference(targetXBuffer);
 
-            ReadOnlyKernel kernelY = state.KernelY;
-            ReadOnlyKernel kernelX = state.KernelX;
+            ReadOnlyKernel<float> kernelY = state.KernelY;
+            ReadOnlyKernel<float> kernelX = state.KernelX;
             Span<TPixel> sourceRow;
             for (int kY = 0; kY < kernelY.Rows; kY++)
             {
@@ -146,8 +146,8 @@ namespace SixLabors.ImageSharp.Processing.Processors.Convolution
             ref Vector4 targetBaseY = ref MemoryMarshal.GetReference(targetYBuffer);
             ref Vector4 targetBaseX = ref MemoryMarshal.GetReference(targetXBuffer);
 
-            ReadOnlyKernel kernelY = state.KernelY;
-            ReadOnlyKernel kernelX = state.KernelX;
+            ReadOnlyKernel<float> kernelY = state.KernelY;
+            ReadOnlyKernel<float> kernelX = state.KernelX;
             for (int kY = 0; kY < kernelY.Rows; kY++)
             {
                 // Get the precalculated source sample row for this kernel row and copy to our buffer.
diff --git a/src/ImageSharp/Processing/Processors/Convolution/Convolution2DState.cs b/src/ImageSharp/Processing/Processors/Convolution/Convolution2DState.cs
index 218093ac4..6f9b11857 100644
--- a/src/ImageSharp/Processing/Processors/Convolution/Convolution2DState.cs
+++ b/src/ImageSharp/Processing/Processors/Convolution/Convolution2DState.cs
@@ -23,21 +23,21 @@ namespace SixLabors.ImageSharp.Processing.Processors.Convolution
             KernelSamplingMap map)
         {
             // We check the kernels are the same size upstream.
-            this.KernelY = new ReadOnlyKernel(kernelY);
-            this.KernelX = new ReadOnlyKernel(kernelX);
+            this.KernelY = new ReadOnlyKernel<float>(kernelY);
+            this.KernelX = new ReadOnlyKernel<float>(kernelX);
             this.kernelHeight = kernelY.Rows;
             this.kernelWidth = kernelY.Columns;
             this.rowOffsetMap = map.GetRowOffsetSpan();
             this.columnOffsetMap = map.GetColumnOffsetSpan();
         }
 
-        public readonly ReadOnlyKernel KernelY
+        public readonly ReadOnlyKernel<float> KernelY
         {
             [MethodImpl(MethodImplOptions.AggressiveInlining)]
             get;
         }
 
-        public readonly ReadOnlyKernel KernelX
+        public readonly ReadOnlyKernel<float> KernelX
         {
             [MethodImpl(MethodImplOptions.AggressiveInlining)]
             get;
diff --git a/src/ImageSharp/Processing/Processors/Convolution/ConvolutionProcessor{TPixel}.cs b/src/ImageSharp/Processing/Processors/Convolution/ConvolutionProcessor{TPixel}.cs
index 924a1125b..b0254bc91 100644
--- a/src/ImageSharp/Processing/Processors/Convolution/ConvolutionProcessor{TPixel}.cs
+++ b/src/ImageSharp/Processing/Processors/Convolution/ConvolutionProcessor{TPixel}.cs
@@ -120,7 +120,7 @@ namespace SixLabors.ImageSharp.Processing.Processors.Convolution
                 ref Vector4 targetRowRef = ref MemoryMarshal.GetReference(span);
                 Span<TPixel> targetRowSpan = this.targetPixels.GetRowSpan(y).Slice(boundsX, boundsWidth);
 
-                var state = new ConvolutionState(in this.kernel, this.map);
+                var state = new ConvolutionState<float>(in this.kernel, this.map);
                 int row = y - this.bounds.Y;
                 ref int sampleRowBase = ref state.GetSampleRow(row);
 
diff --git a/src/ImageSharp/Processing/Processors/Convolution/ConvolutionRowOperation{TPixel}.cs b/src/ImageSharp/Processing/Processors/Convolution/ConvolutionRowOperation{TPixel}.cs
index 9876b2885..beccfff01 100644
--- a/src/ImageSharp/Processing/Processors/Convolution/ConvolutionRowOperation{TPixel}.cs
+++ b/src/ImageSharp/Processing/Processors/Convolution/ConvolutionRowOperation{TPixel}.cs
@@ -67,14 +67,14 @@ namespace SixLabors.ImageSharp.Processing.Processors.Convolution
             Span<Vector4> sourceBuffer = span.Slice(0, this.bounds.Width);
             Span<Vector4> targetBuffer = span.Slice(this.bounds.Width);
 
-            var state = new ConvolutionState(in this.kernelMatrix, this.map);
+            var state = new ConvolutionState<float>(in this.kernelMatrix, this.map);
             ref int sampleRowBase = ref state.GetSampleRow(y - this.bounds.Y);
 
             // Clear the target buffer for each row run.
             targetBuffer.Clear();
             ref Vector4 targetBase = ref MemoryMarshal.GetReference(targetBuffer);
 
-            ReadOnlyKernel kernel = state.Kernel;
+            ReadOnlyKernel<float> kernel = state.Kernel;
             Span<TPixel> sourceRow;
             for (int kY = 0; kY < kernel.Rows; kY++)
             {
@@ -119,17 +119,17 @@ namespace SixLabors.ImageSharp.Processing.Processors.Convolution
             // Span is 2x bounds.
             int boundsX = this.bounds.X;
             int boundsWidth = this.bounds.Width;
-            Span<Vector4> sourceBuffer = span.Slice(0, this.bounds.Width);
-            Span<Vector4> targetBuffer = span.Slice(this.bounds.Width);
+            Span<Vector4> sourceBuffer = span.Slice(0, boundsWidth);
+            Span<Vector4> targetBuffer = span.Slice(boundsWidth);
 
-            var state = new ConvolutionState(in this.kernelMatrix, this.map);
+            var state = new ConvolutionState<float>(in this.kernelMatrix, this.map);
             ref int sampleRowBase = ref state.GetSampleRow(y - this.bounds.Y);
 
             // Clear the target buffer for each row run.
             targetBuffer.Clear();
             ref Vector4 targetBase = ref MemoryMarshal.GetReference(targetBuffer);
 
-            ReadOnlyKernel kernel = state.Kernel;
+            ReadOnlyKernel<float> kernel = state.Kernel;
             for (int kY = 0; kY < kernel.Rows; kY++)
             {
                 // Get the precalculated source sample row for this kernel row and copy to our buffer.
diff --git a/src/ImageSharp/Processing/Processors/Convolution/ConvolutionState.cs b/src/ImageSharp/Processing/Processors/Convolution/ConvolutionState.cs
index 3f296c67d..0b3dbc2d1 100644
--- a/src/ImageSharp/Processing/Processors/Convolution/ConvolutionState.cs
+++ b/src/ImageSharp/Processing/Processors/Convolution/ConvolutionState.cs
@@ -10,7 +10,9 @@ namespace SixLabors.ImageSharp.Processing.Processors.Convolution
     /// <summary>
     /// A stack only struct used for reducing reference indirection during convolution operations.
     /// </summary>
-    internal readonly ref struct ConvolutionState
+    /// <typeparam name="T">The type of values for the kernel in use.</typeparam>
+    internal readonly ref struct ConvolutionState<T>
+        where T : unmanaged, IEquatable<T>
     {
         private readonly Span<int> rowOffsetMap;
         private readonly Span<int> columnOffsetMap;
@@ -18,17 +20,30 @@ namespace SixLabors.ImageSharp.Processing.Processors.Convolution
         private readonly int kernelWidth;
 
         public ConvolutionState(
-            in DenseMatrix<float> kernel,
+            in DenseMatrix<T> kernel,
             KernelSamplingMap map)
         {
-            this.Kernel = new ReadOnlyKernel(kernel);
+            this.Kernel = new ReadOnlyKernel<T>(kernel);
             this.kernelHeight = kernel.Rows;
             this.kernelWidth = kernel.Columns;
             this.rowOffsetMap = map.GetRowOffsetSpan();
             this.columnOffsetMap = map.GetColumnOffsetSpan();
         }
 
-        public readonly ReadOnlyKernel Kernel
+        public ConvolutionState(
+            T[] kernel,
+            int height,
+            int width,
+            KernelSamplingMap map)
+        {
+            this.Kernel = new ReadOnlyKernel<T>(kernel, height, width);
+            this.kernelHeight = height;
+            this.kernelWidth = width;
+            this.rowOffsetMap = map.GetRowOffsetSpan();
+            this.columnOffsetMap = map.GetColumnOffsetSpan();
+        }
+
+        public readonly ReadOnlyKernel<T> Kernel
         {
             [MethodImpl(MethodImplOptions.AggressiveInlining)]
             get;
diff --git a/src/ImageSharp/Processing/Processors/Convolution/KernelSamplingMap.cs b/src/ImageSharp/Processing/Processors/Convolution/KernelSamplingMap.cs
index e4b7dbea0..f912b9562 100644
--- a/src/ImageSharp/Processing/Processors/Convolution/KernelSamplingMap.cs
+++ b/src/ImageSharp/Processing/Processors/Convolution/KernelSamplingMap.cs
@@ -31,9 +31,16 @@ namespace SixLabors.ImageSharp.Processing.Processors.Convolution
         /// <param name="kernel">The convolution kernel.</param>
         /// <param name="bounds">The source bounds.</param>
         public void BuildSamplingOffsetMap(DenseMatrix<float> kernel, Rectangle bounds)
+            => this.BuildSamplingOffsetMap(kernel.Rows, kernel.Columns, bounds);
+
+        /// <summary>
+        /// Builds a map of the sampling offsets for the kernel clamped by the given bounds.
+        /// </summary>
+        /// <param name="kernelHeight">The height (number of rows) of the convolution kernel to use.</param>
+        /// <param name="kernelWidth">The width (number of columns) of the convolution kernel to use.</param>
+        /// <param name="bounds">The source bounds.</param>
+        public void BuildSamplingOffsetMap(int kernelHeight, int kernelWidth, Rectangle bounds)
         {
-            int kernelHeight = kernel.Rows;
-            int kernelWidth = kernel.Columns;
             this.yOffsets = this.allocator.Allocate<int>(bounds.Height * kernelHeight);
             this.xOffsets = this.allocator.Allocate<int>(bounds.Width * kernelWidth);
 
diff --git a/src/ImageSharp/Processing/Processors/Convolution/ReadOnlyKernel.cs b/src/ImageSharp/Processing/Processors/Convolution/ReadOnlyKernel{T}.cs
similarity index 73%
rename from src/ImageSharp/Processing/Processors/Convolution/ReadOnlyKernel.cs
rename to src/ImageSharp/Processing/Processors/Convolution/ReadOnlyKernel{T}.cs
index 37e006005..f95c3dc0a 100644
--- a/src/ImageSharp/Processing/Processors/Convolution/ReadOnlyKernel.cs
+++ b/src/ImageSharp/Processing/Processors/Convolution/ReadOnlyKernel{T}.cs
@@ -12,17 +12,26 @@ namespace SixLabors.ImageSharp.Processing.Processors.Convolution
     /// A stack only, readonly, kernel matrix that can be indexed without
     /// bounds checks when compiled in release mode.
     /// </summary>
-    internal readonly ref struct ReadOnlyKernel
+    /// <typeparam name="T">The type of items in the kernel.</typeparam>
+    internal readonly ref struct ReadOnlyKernel<T>
+        where T : unmanaged, IEquatable<T>
     {
-        private readonly ReadOnlySpan<float> values;
+        private readonly ReadOnlySpan<T> values;
 
-        public ReadOnlyKernel(DenseMatrix<float> matrix)
+        public ReadOnlyKernel(DenseMatrix<T> matrix)
         {
             this.Columns = matrix.Columns;
             this.Rows = matrix.Rows;
             this.values = matrix.Span;
         }
 
+        public ReadOnlyKernel(T[] kernel, int height, int width)
+        {
+            this.Columns = width;
+            this.Rows = height;
+            this.values = kernel;
+        }
+
         public int Columns
         {
             [MethodImpl(MethodImplOptions.AggressiveInlining)]
@@ -35,13 +44,13 @@ namespace SixLabors.ImageSharp.Processing.Processors.Convolution
             get;
         }
 
-        public float this[int row, int column]
+        public T this[int row, int column]
         {
             [MethodImpl(MethodImplOptions.AggressiveInlining)]
             get
             {
                 this.CheckCoordinates(row, column);
-                ref float vBase = ref MemoryMarshal.GetReference(this.values);
+                ref T vBase = ref MemoryMarshal.GetReference(this.values);
                 return Unsafe.Add(ref vBase, (row * this.Columns) + column);
             }
         }