📷 A modern, cross-platform, 2D Graphics library for .NET
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// Copyright (c) Six Labors and contributors.
// Licensed under the Apache License, Version 2.0.
using System;
using System.Numerics;
using System.Runtime.InteropServices;
using SixLabors.ImageSharp.Memory;
using SixLabors.ImageSharp.ParallelUtils;
using SixLabors.ImageSharp.PixelFormats;
using SixLabors.ImageSharp.Primitives;
using SixLabors.Primitives;
namespace SixLabors.ImageSharp.Processing.Processors.Convolution
{
/// <summary>
/// Defines a processor that uses two one-dimensional matrices to perform convolution against an image.
/// </summary>
/// <typeparam name="TPixel">The pixel format.</typeparam>
internal class Convolution2DProcessor<TPixel> : ImageProcessor<TPixel>
where TPixel : struct, IPixel<TPixel>
{
/// <summary>
/// Initializes a new instance of the <see cref="Convolution2DProcessor{TPixel}"/> class.
/// </summary>
/// <param name="kernelX">The horizontal gradient operator.</param>
/// <param name="kernelY">The vertical gradient operator.</param>
/// <param name="preserveAlpha">Whether the convolution filter is applied to alpha as well as the color channels.</param>
/// <param name="source">The source <see cref="Image{TPixel}"/> for the current processor instance.</param>
/// <param name="sourceRectangle">The source area to process for the current processor instance.</param>
public Convolution2DProcessor(
in DenseMatrix<float> kernelX,
in DenseMatrix<float> kernelY,
bool preserveAlpha,
Image<TPixel> source,
Rectangle sourceRectangle)
: base(source, sourceRectangle)
{
Guard.IsTrue(kernelX.Size.Equals(kernelY.Size), $"{nameof(kernelX)} {nameof(kernelY)}", "Kernel sizes must be the same.");
this.KernelX = kernelX;
this.KernelY = kernelY;
this.PreserveAlpha = preserveAlpha;
}
/// <summary>
/// Gets the horizontal gradient operator.
/// </summary>
public DenseMatrix<float> KernelX { get; }
/// <summary>
/// Gets the vertical gradient operator.
/// </summary>
public DenseMatrix<float> KernelY { get; }
/// <summary>
/// Gets a value indicating whether the convolution filter is applied to alpha as well as the color channels.
/// </summary>
public bool PreserveAlpha { get; }
/// <inheritdoc/>
protected override void OnFrameApply(ImageFrame<TPixel> source)
{
DenseMatrix<float> matrixY = this.KernelY;
DenseMatrix<float> matrixX = this.KernelX;
bool preserveAlpha = this.PreserveAlpha;
var interest = Rectangle.Intersect(this.SourceRectangle, source.Bounds());
int startY = interest.Y;
int endY = interest.Bottom;
int startX = interest.X;
int endX = interest.Right;
int maxY = endY - 1;
int maxX = endX - 1;
using (Buffer2D<TPixel> targetPixels = this.Configuration.MemoryAllocator.Allocate2D<TPixel>(source.Width, source.Height))
{
source.CopyTo(targetPixels);
var workingRectangle = Rectangle.FromLTRB(startX, startY, endX, endY);
int width = workingRectangle.Width;
ParallelHelper.IterateRowsWithTempBuffer<Vector4>(
workingRectangle,
this.Configuration,
(rows, vectorBuffer) =>
{
Span<Vector4> vectorSpan = vectorBuffer.Span;
int length = vectorSpan.Length;
ref Vector4 vectorSpanRef = ref MemoryMarshal.GetReference(vectorSpan);
for (int y = rows.Min; y < rows.Max; y++)
{
Span<TPixel> targetRowSpan = targetPixels.GetRowSpan(y).Slice(startX);
PixelOperations<TPixel>.Instance.ToVector4(this.Configuration, targetRowSpan.Slice(0, length), vectorSpan);
if (preserveAlpha)
{
for (int x = 0; x < width; x++)
{
DenseMatrixUtils.Convolve2D3(
in matrixY,
in matrixX,
source.PixelBuffer,
ref vectorSpanRef,
y,
x,
startY,
maxY,
startX,
maxX);
}
}
else
{
for (int x = 0; x < width; x++)
{
DenseMatrixUtils.Convolve2D4(
in matrixY,
in matrixX,
source.PixelBuffer,
ref vectorSpanRef,
y,
x,
startY,
maxY,
startX,
maxX);
}
}
PixelOperations<TPixel>.Instance.FromVector4Destructive(this.Configuration, vectorSpan, targetRowSpan);
}
});
Buffer2D<TPixel>.SwapOrCopyContent(source.PixelBuffer, targetPixels);
}
}
}
}