Feature: adaptive histogram equalization

src/ImageSharp/Processing/HistogramEqualizationExtension.cs

@@ -12,25 +12,47 @@ namespace SixLabors.ImageSharp.Processing
     public static class HistogramEqualizationExtension
     {
         /// <summary>
-        /// Equalizes the histogram of an image to increases the global contrast using 65536 luminance levels.
+        /// Equalizes the histogram of an image to increases the contrast.
         /// </summary>
         /// <typeparam name="TPixel">The pixel format.</typeparam>
         /// <param name="source">The image this method extends.</param>
         /// <returns>The <see cref="Image{TPixel}"/>.</returns>
         public static IImageProcessingContext<TPixel> HistogramEqualization<TPixel>(this IImageProcessingContext<TPixel> source)
             where TPixel : struct, IPixel<TPixel>
-            => HistogramEqualization(source, 65536);
+            => HistogramEqualization(source, new HistogramEqualizationOptions());
 
         /// <summary>
-        /// Equalizes the histogram of an image to increases the global contrast.
+        /// Equalizes the histogram of an image to increases the contrast.
         /// </summary>
         /// <typeparam name="TPixel">The pixel format.</typeparam>
         /// <param name="source">The image this method extends.</param>
-        /// <param name="luminanceLevels">The number of different luminance levels. Typical values are 256 for 8-bit grayscale images
-        /// or 65536 for 16-bit grayscale images.</param>
+        /// <param name="options">The histogram equalization options to use.</param>
         /// <returns>The <see cref="Image{TPixel}"/>.</returns>
-        public static IImageProcessingContext<TPixel> HistogramEqualization<TPixel>(this IImageProcessingContext<TPixel> source, int luminanceLevels)
+        public static IImageProcessingContext<TPixel> HistogramEqualization<TPixel>(this IImageProcessingContext<TPixel> source, HistogramEqualizationOptions options)
             where TPixel : struct, IPixel<TPixel>
-            => source.ApplyProcessor(new HistogramEqualizationProcessor<TPixel>(luminanceLevels));
+            => source.ApplyProcessor(GetProcessor<TPixel>(options));
+
+        private static HistogramEqualizationProcessor<TPixel> GetProcessor<TPixel>(HistogramEqualizationOptions options)
+            where TPixel : struct, IPixel<TPixel>
+        {
+            HistogramEqualizationProcessor<TPixel> processor;
+
+            switch (options.Method)
+            {
+                case HistogramEqualizationMethod.Global:
+                    processor = new GlobalHistogramEqualizationProcessor<TPixel>(options.LuminanceLevels, options.ClipHistogram, options.ClipLimitPercentage);
+                    break;
+
+                case HistogramEqualizationMethod.Adaptive:
+                    processor = new AdaptiveHistEqualizationProcessor<TPixel>(options.LuminanceLevels, options.ClipHistogram, options.ClipLimitPercentage, options.GridSize);
+                    break;
+
+                default:
+                    processor = new GlobalHistogramEqualizationProcessor<TPixel>(options.LuminanceLevels, options.ClipHistogram, options.ClipLimitPercentage);
+                    break;
+            }
+
+            return processor;
+        }
     }
 }

src/ImageSharp/Processing/Processors/Normalization/AdaptiveHistEqualizationProcessor.cs

@@ -0,0 +1,230 @@
+// Copyright (c) Six Labors and contributors.
+// Licensed under the Apache License, Version 2.0.
+
+using System;
+using System.Numerics;
+using System.Threading.Tasks;
+using SixLabors.ImageSharp.Advanced;
+using SixLabors.ImageSharp.Memory;
+using SixLabors.ImageSharp.PixelFormats;
+using SixLabors.Memory;
+using SixLabors.Primitives;
+
+namespace SixLabors.ImageSharp.Processing.Processors.Normalization
+{
+    /// <summary>
+    /// Applies an adaptive histogram equalization to the image.
+    /// </summary>
+    /// <typeparam name="TPixel">The pixel format.</typeparam>
+    internal class AdaptiveHistEqualizationProcessor<TPixel> : HistogramEqualizationProcessor<TPixel>
+        where TPixel : struct, IPixel<TPixel>
+    {
+        /// <summary>
+        /// Initializes a new instance of the <see cref="AdaptiveHistEqualizationProcessor{TPixel}"/> class.
+        /// </summary>
+        /// <param name="luminanceLevels">The number of different luminance levels. Typical values are 256 for 8-bit grayscale images
+        /// or 65536 for 16-bit grayscale images.</param>
+        /// <param name="clipHistogram">Indicating whether to clip the histogram bins at a specific value.</param>
+        /// <param name="clipLimitPercentage">Histogram clip limit in percent of the total pixels in the grid. Histogram bins which exceed this limit, will be capped at this value.</param>
+        /// <param name="gridSize">The grid size of the adaptive histogram equalization. Minimum value is 4.</param>
+        public AdaptiveHistEqualizationProcessor(int luminanceLevels, bool clipHistogram, float clipLimitPercentage, int gridSize)
+            : base(luminanceLevels, clipHistogram, clipLimitPercentage)
+        {
+            Guard.MustBeGreaterThanOrEqualTo(gridSize, 4, nameof(gridSize));
+
+            this.GridSize = gridSize;
+        }
+
+        /// <summary>
+        /// Gets the size of the grid for the adaptive histogram equalization.
+        /// </summary>
+        public int GridSize { get; }
+
+        /// <inheritdoc/>
+        protected override void OnFrameApply(ImageFrame<TPixel> source, Rectangle sourceRectangle, Configuration configuration)
+        {
+            MemoryAllocator memoryAllocator = configuration.MemoryAllocator;
+            int numberOfPixels = source.Width * source.Height;
+            Span<TPixel> pixels = source.GetPixelSpan();
+
+            int pixelsInGrid = this.GridSize * this.GridSize;
+            int halfGridSize = this.GridSize / 2;
+            using (Buffer2D<TPixel> targetPixels = configuration.MemoryAllocator.Allocate2D<TPixel>(source.Width, source.Height))
+            {
+                ParallelFor.WithConfiguration(
+                    0,
+                    source.Width,
+                    configuration,
+                    x =>
+                    {
+                        using (System.Buffers.IMemoryOwner<int> histogramBuffer = memoryAllocator.Allocate<int>(this.LuminanceLevels, AllocationOptions.Clean))
+                        using (System.Buffers.IMemoryOwner<int> histogramBufferCopy = memoryAllocator.Allocate<int>(this.LuminanceLevels, AllocationOptions.Clean))
+                        using (System.Buffers.IMemoryOwner<int> cdfBuffer = memoryAllocator.Allocate<int>(this.LuminanceLevels, AllocationOptions.Clean))
+                        {
+                            Span<int> histogram = histogramBuffer.GetSpan();
+                            Span<int> histogramCopy = histogramBufferCopy.GetSpan();
+                            Span<int> cdf = cdfBuffer.GetSpan();
+                            int maxHistIdx = 0;
+
+                            // Build the histogram of grayscale values for the current grid.
+                            for (int dy = -halfGridSize; dy < halfGridSize; dy++)
+                            {
+                                Span<TPixel> rowSpan = this.GetPixelRow(source, (int)x - halfGridSize, dy, this.GridSize);
+                                int maxIdx = this.AddPixelsTooHistogram(rowSpan, histogram, this.LuminanceLevels);
+                                if (maxIdx > maxHistIdx)
+                                {
+                                    maxHistIdx = maxIdx;
+                                }
+                            }
+
+                            for (int y = 0; y < source.Height; y++)
+                            {
+                                if (this.ClipHistogramEnabled)
+                                {
+                                    // Clipping the histogram, but doing it on a copy to keep the original un-clipped values for the next iteration.
+                                    histogram.Slice(0, maxHistIdx).CopyTo(histogramCopy);
+                                    this.ClipHistogram(histogramCopy, this.ClipLimitPercentage, pixelsInGrid);
+                                }
+
+                                // Calculate the cumulative distribution function, which will map each input pixel in the current grid to a new value.
+                                int cdfMin = this.ClipHistogramEnabled ? this.CalculateCdf(cdf, histogramCopy, maxHistIdx) : this.CalculateCdf(cdf, histogram, maxHistIdx);
+                                float numberOfPixelsMinusCdfMin = pixelsInGrid - cdfMin;
+
+                                // Map the current pixel to the new equalized value
+                                int luminance = this.GetLuminance(source[x, y], this.LuminanceLevels);
+                                float luminanceEqualized = cdf[luminance] / numberOfPixelsMinusCdfMin;
+                                targetPixels[x, y].PackFromVector4(new Vector4(luminanceEqualized));
+
+                                // Remove top most row from the histogram, mirroring rows which exceeds the borders.
+                                Span<TPixel> rowSpan = this.GetPixelRow(source, x - halfGridSize, y - halfGridSize, this.GridSize);
+                                maxHistIdx = this.RemovePixelsFromHistogram(rowSpan, histogram, this.LuminanceLevels, maxHistIdx);
+
+                                // Add new bottom row to the histogram, mirroring rows which exceeds the borders.
+                                rowSpan = this.GetPixelRow(source, x - halfGridSize, y + halfGridSize, this.GridSize);
+                                int maxIdx = this.AddPixelsTooHistogram(rowSpan, histogram, this.LuminanceLevels);
+                                if (maxIdx > maxHistIdx)
+                                {
+                                    maxHistIdx = maxIdx;
+                                }
+                            }
+                        }
+                    });
+
+                Buffer2D<TPixel>.SwapOrCopyContent(source.PixelBuffer, targetPixels);
+            }
+        }
+
+        /// <summary>
+        /// Get the a pixel row at a given position with a length of the grid size. Mirrors pixels which exceeds the edges.
+        /// </summary>
+        /// <param name="source">The source image.</param>
+        /// <param name="x">The x position.</param>
+        /// <param name="y">The y position.</param>
+        /// <param name="gridSize">The grid size.</param>
+        /// <returns>A pixel row of the length of the grid size.</returns>
+        private Span<TPixel> GetPixelRow(ImageFrame<TPixel> source, int x, int y, int gridSize)
+        {
+            if (y < 0)
+            {
+                y = Math.Abs(y);
+            }
+            else if (y >= source.Height)
+            {
+                int diff = y - source.Height;
+                y = source.Height - diff - 1;
+            }
+
+            // Special cases for the left and the right border where GetPixelRowSpan can not be used
+            if (x < 0)
+            {
+                var rowPixels = new TPixel[gridSize];
+                int idx = 0;
+                for (int dx = x; dx < x + gridSize; dx++)
+                {
+                    rowPixels[idx] = source[Math.Abs(dx), y];
+                    idx++;
+                }
+
+                return rowPixels;
+            }
+            else if (x + gridSize > source.Width)
+            {
+                var rowPixels = new TPixel[gridSize];
+                int idx = 0;
+                for (int dx = x; dx < x + gridSize; dx++)
+                {
+                    if (dx >= source.Width)
+                    {
+                        int diff = dx - source.Width;
+                        rowPixels[idx] = source[dx - diff - 1, y];
+                    }
+                    else
+                    {
+                        rowPixels[idx] = source[dx, y];
+                    }
+
+                    idx++;
+                }
+
+                return rowPixels;
+            }
+
+            return source.GetPixelRowSpan(y).Slice(start: x, length: gridSize);
+        }
+
+        /// <summary>
+        /// Adds a row of grey values to the histogram.
+        /// </summary>
+        /// <param name="greyValues">The grey values to add</param>
+        /// <param name="histogram">The histogram</param>
+        /// <param name="luminanceLevels">The number of different luminance levels.</param>
+        /// <returns>The maximum index where a value was changed.</returns>
+        private int AddPixelsTooHistogram(Span<TPixel> greyValues, Span<int> histogram, int luminanceLevels)
+        {
+            int maxIdx = 0;
+            for (int idx = 0; idx < greyValues.Length; idx++)
+            {
+                int luminance = this.GetLuminance(greyValues[idx], luminanceLevels);
+                histogram[luminance]++;
+                if (luminance > maxIdx)
+                {
+                    maxIdx = luminance;
+                }
+            }
+
+            return maxIdx;
+        }
+
+        /// <summary>
+        /// Removes a row of grey values from the histogram.
+        /// </summary>
+        /// <param name="greyValues">The grey values to remove</param>
+        /// <param name="histogram">The histogram</param>
+        /// <param name="luminanceLevels">The number of different luminance levels.</param>
+        /// <param name="maxHistIdx">The current maximum index of the histogram.</param>
+        /// <returns>The (maybe changed) maximum index of the histogram.</returns>
+        private int RemovePixelsFromHistogram(Span<TPixel> greyValues, Span<int> histogram, int luminanceLevels, int maxHistIdx)
+        {
+            for (int idx = 0; idx < greyValues.Length; idx++)
+            {
+                int luminance = this.GetLuminance(greyValues[idx], luminanceLevels);
+                histogram[luminance]--;
+
+                // If the histogram at the maximum index has changed to 0, search for the next smaller value.
+                if (luminance == maxHistIdx && histogram[luminance] == 0)
+                {
+                    for (int j = luminance; j >= 0;  j--)
+                    {
+                        maxHistIdx = j;
+                        if (histogram[j] != 0)
+                        {
+                            break;
+                        }
+                    }
+                }
+            }
+
+            return maxHistIdx;
+        }
+    }
+}

src/ImageSharp/Processing/Processors/Normalization/GlobalHistogramEqualizationProcessor.cs

@@ -0,0 +1,75 @@
+// Copyright (c) Six Labors and contributors.
+// Licensed under the Apache License, Version 2.0.
+
+using System;
+using System.Numerics;
+using SixLabors.ImageSharp.Advanced;
+using SixLabors.ImageSharp.Memory;
+using SixLabors.ImageSharp.PixelFormats;
+using SixLabors.Memory;
+using SixLabors.Primitives;
+
+namespace SixLabors.ImageSharp.Processing.Processors.Normalization
+{
+    /// <summary>
+    /// Applies a global histogram equalization to the image.
+    /// </summary>
+    /// <typeparam name="TPixel">The pixel format.</typeparam>
+    internal class GlobalHistogramEqualizationProcessor<TPixel> : HistogramEqualizationProcessor<TPixel>
+        where TPixel : struct, IPixel<TPixel>
+    {
+        /// <summary>
+        /// Initializes a new instance of the <see cref="GlobalHistogramEqualizationProcessor{TPixel}"/> class.
+        /// </summary>
+        /// <param name="luminanceLevels">The number of different luminance levels. Typical values are 256 for 8-bit grayscale images
+        /// or 65536 for 16-bit grayscale images.</param>
+        /// <param name="clipHistogram">Indicating whether to clip the histogram bins at a specific value.</param>
+        /// <param name="clipLimitPercentage">Histogram clip limit in percent of the total pixels. Histogram bins which exceed this limit, will be capped at this value.</param>
+        public GlobalHistogramEqualizationProcessor(int luminanceLevels, bool clipHistogram, float clipLimitPercentage)
+            : base(luminanceLevels, clipHistogram, clipLimitPercentage)
+        {
+        }
+
+        /// <inheritdoc/>
+        protected override void OnFrameApply(ImageFrame<TPixel> source, Rectangle sourceRectangle, Configuration configuration)
+        {
+            MemoryAllocator memoryAllocator = configuration.MemoryAllocator;
+            int numberOfPixels = source.Width * source.Height;
+            Span<TPixel> pixels = source.GetPixelSpan();
+
+            using (System.Buffers.IMemoryOwner<int> histogramBuffer = memoryAllocator.Allocate<int>(this.LuminanceLevels, AllocationOptions.Clean))
+            using (System.Buffers.IMemoryOwner<int> cdfBuffer = memoryAllocator.Allocate<int>(this.LuminanceLevels, AllocationOptions.Clean))
+            {
+                // Build the histogram of the grayscale levels.
+                Span<int> histogram = histogramBuffer.GetSpan();
+                for (int i = 0; i < pixels.Length; i++)
+                {
+                    TPixel sourcePixel = pixels[i];
+                    int luminance = this.GetLuminance(sourcePixel, this.LuminanceLevels);
+                    histogram[luminance]++;
+                }
+
+                if (this.ClipHistogramEnabled)
+                {
+                    this.ClipHistogram(histogram, this.ClipLimitPercentage, numberOfPixels);
+                }
+
+                // Calculate the cumulative distribution function, which will map each input pixel to a new value.
+                Span<int> cdf = cdfBuffer.GetSpan();
+                int cdfMin = this.CalculateCdf(cdf, histogram, histogram.Length - 1);
+
+                // Apply the cdf to each pixel of the image
+                float numberOfPixelsMinusCdfMin = numberOfPixels - cdfMin;
+                for (int i = 0; i < pixels.Length; i++)
+                {
+                    TPixel sourcePixel = pixels[i];
+
+                    int luminance = this.GetLuminance(sourcePixel, this.LuminanceLevels);
+                    float luminanceEqualized = cdf[luminance] / numberOfPixelsMinusCdfMin;
+
+                    pixels[i].PackFromVector4(new Vector4(luminanceEqualized));
+                }
+            }
+        }
+    }
+}

src/ImageSharp/Processing/Processors/Normalization/HistogramEqualizationMethod.cs

@@ -0,0 +1,21 @@
+// Copyright (c) Six Labors and contributors.
+// Licensed under the Apache License, Version 2.0.
+
+namespace SixLabors.ImageSharp.Processing.Processors.Normalization
+{
+    /// <summary>
+    /// Enumerates the different types of defined histogram equalization methods.
+    /// </summary>
+    public enum HistogramEqualizationMethod : int
+    {
+        /// <summary>
+        /// A global histogram equalization.
+        /// </summary>
+        Global,
+
+        /// <summary>
+        /// Adaptive histogram equalization.
+        /// </summary>
+        Adaptive
+    }
+}