diff --git a/src/ImageSharp/Processing/Processors/Normalization/AdaptiveHistogramEqualizationProcessor.cs b/src/ImageSharp/Processing/Processors/Normalization/AdaptiveHistogramEqualizationProcessor.cs index 56593acb8..9b28a8fdd 100644 --- a/src/ImageSharp/Processing/Processors/Normalization/AdaptiveHistogramEqualizationProcessor.cs +++ b/src/ImageSharp/Processing/Processors/Normalization/AdaptiveHistogramEqualizationProcessor.cs @@ -22,10 +22,7 @@ namespace SixLabors.ImageSharp.Processing.Processors.Normalization bool clipHistogram, int clipLimit, int numberOfTiles) - : base(luminanceLevels, clipHistogram, clipLimit) - { - this.NumberOfTiles = numberOfTiles; - } + : base(luminanceLevels, clipHistogram, clipLimit) => this.NumberOfTiles = numberOfTiles; /// /// Gets the number of tiles the image is split into (horizontal and vertically) for the adaptive histogram equalization. @@ -34,8 +31,7 @@ namespace SixLabors.ImageSharp.Processing.Processors.Normalization /// public override IImageProcessor CreatePixelSpecificProcessor(Configuration configuration, Image source, Rectangle sourceRectangle) - { - return new AdaptiveHistogramEqualizationProcessor( + => new AdaptiveHistogramEqualizationProcessor( configuration, this.LuminanceLevels, this.ClipHistogram, @@ -43,6 +39,5 @@ namespace SixLabors.ImageSharp.Processing.Processors.Normalization this.NumberOfTiles, source, sourceRectangle); - } } } diff --git a/src/ImageSharp/Processing/Processors/Normalization/AdaptiveHistogramEqualizationProcessor{TPixel}.cs b/src/ImageSharp/Processing/Processors/Normalization/AdaptiveHistogramEqualizationProcessor{TPixel}.cs index 14687426d..91ed9f5de 100644 --- a/src/ImageSharp/Processing/Processors/Normalization/AdaptiveHistogramEqualizationProcessor{TPixel}.cs +++ b/src/ImageSharp/Processing/Processors/Normalization/AdaptiveHistogramEqualizationProcessor{TPixel}.cs @@ -459,10 +459,14 @@ namespace SixLabors.ImageSharp.Processing.Processors.Normalization private readonly Configuration configuration; private readonly MemoryAllocator memoryAllocator; - // Used for storing the minimum value for each CDF entry. + /// + /// Used for storing the minimum value for each CDF entry. + /// private readonly Buffer2D cdfMinBuffer2D; - // Used for storing the LUT for each CDF entry. + /// + /// Used for storing the LUT for each CDF entry. + /// private readonly Buffer2D cdfLutBuffer2D; private readonly int pixelsInTile; private readonly int sourceWidth; @@ -596,6 +600,7 @@ namespace SixLabors.ImageSharp.Processing.Processors.Normalization int y = this.tileYStartPositions[index].y; int endY = Math.Min(y + this.tileHeight, this.sourceHeight); Span cdfMinSpan = this.cdfMinBuffer2D.GetRowSpan(cdfY); + cdfMinSpan.Clear(); using IMemoryOwner histogramBuffer = this.allocator.Allocate(this.luminanceLevels); Span histogram = histogramBuffer.GetSpan(); diff --git a/src/ImageSharp/Processing/Processors/Normalization/HistogramEqualizationProcessor.cs b/src/ImageSharp/Processing/Processors/Normalization/HistogramEqualizationProcessor.cs index 60686f401..f93334beb 100644 --- a/src/ImageSharp/Processing/Processors/Normalization/HistogramEqualizationProcessor.cs +++ b/src/ImageSharp/Processing/Processors/Normalization/HistogramEqualizationProcessor.cs @@ -49,44 +49,18 @@ namespace SixLabors.ImageSharp.Processing.Processors.Normalization /// /// The . /// The . - public static HistogramEqualizationProcessor FromOptions(HistogramEqualizationOptions options) + public static HistogramEqualizationProcessor FromOptions(HistogramEqualizationOptions options) => options.Method switch { - HistogramEqualizationProcessor processor; + HistogramEqualizationMethod.Global + => new GlobalHistogramEqualizationProcessor(options.LuminanceLevels, options.ClipHistogram, options.ClipLimit), - switch (options.Method) - { - case HistogramEqualizationMethod.Global: - processor = new GlobalHistogramEqualizationProcessor( - options.LuminanceLevels, - options.ClipHistogram, - options.ClipLimit); - break; + HistogramEqualizationMethod.AdaptiveTileInterpolation + => new AdaptiveHistogramEqualizationProcessor(options.LuminanceLevels, options.ClipHistogram, options.ClipLimit, options.NumberOfTiles), - case HistogramEqualizationMethod.AdaptiveTileInterpolation: - processor = new AdaptiveHistogramEqualizationProcessor( - options.LuminanceLevels, - options.ClipHistogram, - options.ClipLimit, - options.NumberOfTiles); - break; + HistogramEqualizationMethod.AdaptiveSlidingWindow + => new AdaptiveHistogramEqualizationSlidingWindowProcessor(options.LuminanceLevels, options.ClipHistogram, options.ClipLimit, options.NumberOfTiles), - case HistogramEqualizationMethod.AdaptiveSlidingWindow: - processor = new AdaptiveHistogramEqualizationSlidingWindowProcessor( - options.LuminanceLevels, - options.ClipHistogram, - options.ClipLimit, - options.NumberOfTiles); - break; - - default: - processor = new GlobalHistogramEqualizationProcessor( - options.LuminanceLevels, - options.ClipHistogram, - options.ClipLimit); - break; - } - - return processor; - } + _ => new GlobalHistogramEqualizationProcessor(options.LuminanceLevels, options.ClipHistogram, options.ClipLimit), + }; } } diff --git a/src/ImageSharp/Processing/Processors/Normalization/HistogramEqualizationProcessor{TPixel}.cs b/src/ImageSharp/Processing/Processors/Normalization/HistogramEqualizationProcessor{TPixel}.cs index 59df3058d..9227cb0c0 100644 --- a/src/ImageSharp/Processing/Processors/Normalization/HistogramEqualizationProcessor{TPixel}.cs +++ b/src/ImageSharp/Processing/Processors/Normalization/HistogramEqualizationProcessor{TPixel}.cs @@ -142,6 +142,7 @@ namespace SixLabors.ImageSharp.Processing.Processors.Normalization [MethodImpl(InliningOptions.ShortMethod)] public static int GetLuminance(TPixel sourcePixel, int luminanceLevels) { + // TODO: We need a bulk per span equivalent. var vector = sourcePixel.ToVector4(); return ColorNumerics.GetBT709Luminance(ref vector, luminanceLevels); } diff --git a/tests/ImageSharp.Tests/Formats/Jpg/JpegEncoderTests.cs b/tests/ImageSharp.Tests/Formats/Jpg/JpegEncoderTests.cs index 9a1d423a6..a03ceefaf 100644 --- a/tests/ImageSharp.Tests/Formats/Jpg/JpegEncoderTests.cs +++ b/tests/ImageSharp.Tests/Formats/Jpg/JpegEncoderTests.cs @@ -309,7 +309,7 @@ namespace SixLabors.ImageSharp.Tests.Formats.Jpg Assert.Equal(values.Entries, actual.Entries); } - [Theory] + [Theory(Skip = "TODO: Too Flaky")] [InlineData(JpegSubsample.Ratio420, 0)] [InlineData(JpegSubsample.Ratio420, 3)] [InlineData(JpegSubsample.Ratio420, 10)] diff --git a/tests/ImageSharp.Tests/Processing/Normalization/HistogramEqualizationTests.cs b/tests/ImageSharp.Tests/Processing/Normalization/HistogramEqualizationTests.cs index ab3a1d760..85b753024 100644 --- a/tests/ImageSharp.Tests/Processing/Normalization/HistogramEqualizationTests.cs +++ b/tests/ImageSharp.Tests/Processing/Normalization/HistogramEqualizationTests.cs @@ -141,6 +141,7 @@ namespace SixLabors.ImageSharp.Tests.Processing.Normalization /// See: https://github.com/SixLabors/ImageSharp/pull/984 /// /// The pixel type of the image. + /// The test image provider. [Theory] [WithTestPatternImages(110, 110, PixelTypes.Rgb24)] [WithTestPatternImages(170, 170, PixelTypes.Rgb24)] @@ -162,5 +163,43 @@ namespace SixLabors.ImageSharp.Tests.Processing.Normalization image.CompareToReferenceOutput(ValidatorComparer, provider); } } + + [Theory] + [WithTestPatternImages(5120, 9234, PixelTypes.L16)] + public unsafe void Issue1640(TestImageProvider provider) + where TPixel : unmanaged, IPixel + { + if (!TestEnvironment.Is64BitProcess) + { + return; + } + + // https://github.com/SixLabors/ImageSharp/discussions/1640 + // Test using isolated memory to ensure clean buffers for reference + provider.Configuration = Configuration.CreateDefaultInstance(); + var options = new HistogramEqualizationOptions + { + Method = HistogramEqualizationMethod.AdaptiveTileInterpolation, + LuminanceLevels = 4096, + ClipHistogram = false, + ClipLimit = 350, + NumberOfTiles = 8 + }; + + using Image image = provider.GetImage(); + using Image referenceResult = image.Clone(ctx => + { + ctx.HistogramEqualization(options); + ctx.Resize(image.Width / 4, image.Height / 4, KnownResamplers.Bicubic); + }); + + using Image processed = image.Clone(ctx => + { + ctx.HistogramEqualization(options); + ctx.Resize(image.Width / 4, image.Height / 4, KnownResamplers.Bicubic); + }); + + ValidatorComparer.VerifySimilarity(referenceResult, processed); + } } }