mirror of https://github.com/SixLabors/ImageSharp
Dmitry Pentin
4 years ago
44 changed files with 1261 additions and 310 deletions
@ -0,0 +1,25 @@ |
|||||
|
// Copyright (c) Six Labors.
|
||||
|
// Licensed under the Apache License, Version 2.0.
|
||||
|
|
||||
|
namespace SixLabors.ImageSharp.Processing.Processors.Convolution |
||||
|
{ |
||||
|
/// <summary>
|
||||
|
/// Wrapping mode for the border pixels in convolution processing.
|
||||
|
/// </summary>
|
||||
|
public enum BorderWrappingMode : byte |
||||
|
{ |
||||
|
/// <summary>Repeat the border pixel value: aaaaaa|abcdefgh|hhhhhhh</summary>
|
||||
|
Repeat = 0, |
||||
|
|
||||
|
/// <summary>Take values from the opposite edge: cdefgh|abcdefgh|abcdefg</summary>
|
||||
|
Wrap = 1, |
||||
|
|
||||
|
/// <summary>Mirror the last few border values: fedcba|abcdefgh|hgfedcb</summary>
|
||||
|
/// <remarks>This Mode is similar to <see cref="Bounce"/>, but here the very border pixel is repeated.</remarks>
|
||||
|
Mirror = 2, |
||||
|
|
||||
|
/// <summary>Bounce off the border: fedcb|abcdefgh|gfedcb</summary>
|
||||
|
/// <remarks>This Mode is similar to <see cref="Mirror"/>, but here the very border pixel is not repeated.</remarks>
|
||||
|
Bounce = 3 |
||||
|
} |
||||
|
} |
||||
@ -0,0 +1,33 @@ |
|||||
|
// Copyright (c) Six Labors.
|
||||
|
// Licensed under the Apache License, Version 2.0.
|
||||
|
|
||||
|
using System; |
||||
|
using System.IO; |
||||
|
using SixLabors.ImageSharp.Formats.Jpeg; |
||||
|
using SixLabors.ImageSharp.PixelFormats; |
||||
|
|
||||
|
using Xunit; |
||||
|
|
||||
|
namespace SixLabors.ImageSharp.Tests.Formats.Jpg |
||||
|
{ |
||||
|
[Trait("Format", "Jpg")] |
||||
|
public partial class JpegEncoderTests |
||||
|
{ |
||||
|
[Theory] |
||||
|
[WithFile(TestImages.Jpeg.Issues.ValidExifArgumentNullExceptionOnEncode, PixelTypes.Rgba32)] |
||||
|
public void Encode_WithValidExifProfile_DoesNotThrowException<TPixel>(TestImageProvider<TPixel> provider) |
||||
|
where TPixel : unmanaged, IPixel<TPixel> |
||||
|
{ |
||||
|
Exception ex = Record.Exception(() => |
||||
|
{ |
||||
|
var encoder = new JpegEncoder(); |
||||
|
var stream = new MemoryStream(); |
||||
|
|
||||
|
using Image<TPixel> image = provider.GetImage(JpegDecoder); |
||||
|
image.Save(stream, encoder); |
||||
|
}); |
||||
|
|
||||
|
Assert.Null(ex); |
||||
|
} |
||||
|
} |
||||
|
} |
||||
@ -0,0 +1,421 @@ |
|||||
|
// Copyright (c) Six Labors.
|
||||
|
// Licensed under the Apache License, Version 2.0.
|
||||
|
|
||||
|
using SixLabors.ImageSharp.Processing.Processors.Convolution; |
||||
|
using Xunit; |
||||
|
|
||||
|
namespace SixLabors.ImageSharp.Tests.Processing.Convolution |
||||
|
{ |
||||
|
[Trait("Category", "Processors")] |
||||
|
public class KernelSamplingMapTest |
||||
|
{ |
||||
|
[Fact] |
||||
|
public void KernalSamplingMap_Kernel5Image7x7RepeatBorder() |
||||
|
{ |
||||
|
var kernelSize = new Size(5, 5); |
||||
|
var bounds = new Rectangle(0, 0, 7, 7); |
||||
|
var mode = BorderWrappingMode.Repeat; |
||||
|
int[] expected = |
||||
|
{ |
||||
|
0, 0, 0, 1, 2, |
||||
|
0, 0, 1, 2, 3, |
||||
|
0, 1, 2, 3, 4, |
||||
|
1, 2, 3, 4, 5, |
||||
|
2, 3, 4, 5, 6, |
||||
|
3, 4, 5, 6, 6, |
||||
|
4, 5, 6, 6, 6, |
||||
|
}; |
||||
|
this.AssertOffsets(kernelSize, bounds, mode, mode, expected, expected); |
||||
|
} |
||||
|
|
||||
|
[Fact] |
||||
|
public void KernalSamplingMap_Kernel5Image7x7BounceBorder() |
||||
|
{ |
||||
|
var kernelSize = new Size(5, 5); |
||||
|
var bounds = new Rectangle(0, 0, 7, 7); |
||||
|
var mode = BorderWrappingMode.Bounce; |
||||
|
int[] expected = |
||||
|
{ |
||||
|
2, 1, 0, 1, 2, |
||||
|
1, 0, 1, 2, 3, |
||||
|
0, 1, 2, 3, 4, |
||||
|
1, 2, 3, 4, 5, |
||||
|
2, 3, 4, 5, 6, |
||||
|
3, 4, 5, 6, 5, |
||||
|
4, 5, 6, 5, 4, |
||||
|
}; |
||||
|
this.AssertOffsets(kernelSize, bounds, mode, mode, expected, expected); |
||||
|
} |
||||
|
|
||||
|
[Fact] |
||||
|
public void KernalSamplingMap_Kernel5Image7x7MirrorBorder() |
||||
|
{ |
||||
|
var kernelSize = new Size(5, 5); |
||||
|
var bounds = new Rectangle(0, 0, 7, 7); |
||||
|
var mode = BorderWrappingMode.Mirror; |
||||
|
int[] expected = |
||||
|
{ |
||||
|
1, 0, 0, 1, 2, |
||||
|
0, 0, 1, 2, 3, |
||||
|
0, 1, 2, 3, 4, |
||||
|
1, 2, 3, 4, 5, |
||||
|
2, 3, 4, 5, 6, |
||||
|
3, 4, 5, 6, 6, |
||||
|
4, 5, 6, 6, 5, |
||||
|
}; |
||||
|
this.AssertOffsets(kernelSize, bounds, mode, mode, expected, expected); |
||||
|
} |
||||
|
|
||||
|
[Fact] |
||||
|
public void KernalSamplingMap_Kernel5Image7x7WrapBorder() |
||||
|
{ |
||||
|
var kernelSize = new Size(5, 5); |
||||
|
var bounds = new Rectangle(0, 0, 7, 7); |
||||
|
var mode = BorderWrappingMode.Wrap; |
||||
|
int[] expected = |
||||
|
{ |
||||
|
5, 6, 0, 1, 2, |
||||
|
6, 0, 1, 2, 3, |
||||
|
0, 1, 2, 3, 4, |
||||
|
1, 2, 3, 4, 5, |
||||
|
2, 3, 4, 5, 6, |
||||
|
3, 4, 5, 6, 0, |
||||
|
4, 5, 6, 0, 1, |
||||
|
}; |
||||
|
this.AssertOffsets(kernelSize, bounds, mode, mode, expected, expected); |
||||
|
} |
||||
|
|
||||
|
[Fact] |
||||
|
public void KernalSamplingMap_Kernel5Image9x9BounceBorder() |
||||
|
{ |
||||
|
var kernelSize = new Size(5, 5); |
||||
|
var bounds = new Rectangle(1, 1, 9, 9); |
||||
|
var mode = BorderWrappingMode.Bounce; |
||||
|
int[] expected = |
||||
|
{ |
||||
|
3, 2, 1, 2, 3, |
||||
|
2, 1, 2, 3, 4, |
||||
|
1, 2, 3, 4, 5, |
||||
|
2, 3, 4, 5, 6, |
||||
|
3, 4, 5, 6, 7, |
||||
|
4, 5, 6, 7, 8, |
||||
|
5, 6, 7, 8, 9, |
||||
|
6, 7, 8, 9, 8, |
||||
|
7, 8, 9, 8, 7, |
||||
|
}; |
||||
|
this.AssertOffsets(kernelSize, bounds, mode, mode, expected, expected); |
||||
|
} |
||||
|
|
||||
|
[Fact] |
||||
|
public void KernalSamplingMap_Kernel5Image9x9MirrorBorder() |
||||
|
{ |
||||
|
var kernelSize = new Size(5, 5); |
||||
|
var bounds = new Rectangle(1, 1, 9, 9); |
||||
|
var mode = BorderWrappingMode.Mirror; |
||||
|
int[] expected = |
||||
|
{ |
||||
|
2, 1, 1, 2, 3, |
||||
|
1, 1, 2, 3, 4, |
||||
|
1, 2, 3, 4, 5, |
||||
|
2, 3, 4, 5, 6, |
||||
|
3, 4, 5, 6, 7, |
||||
|
4, 5, 6, 7, 8, |
||||
|
5, 6, 7, 8, 9, |
||||
|
6, 7, 8, 9, 9, |
||||
|
7, 8, 9, 9, 8, |
||||
|
}; |
||||
|
this.AssertOffsets(kernelSize, bounds, mode, mode, expected, expected); |
||||
|
} |
||||
|
|
||||
|
[Fact] |
||||
|
public void KernalSamplingMap_Kernel5Image9x9WrapBorder() |
||||
|
{ |
||||
|
var kernelSize = new Size(5, 5); |
||||
|
var bounds = new Rectangle(1, 1, 9, 9); |
||||
|
var mode = BorderWrappingMode.Wrap; |
||||
|
int[] expected = |
||||
|
{ |
||||
|
8, 9, 1, 2, 3, |
||||
|
9, 1, 2, 3, 4, |
||||
|
1, 2, 3, 4, 5, |
||||
|
2, 3, 4, 5, 6, |
||||
|
3, 4, 5, 6, 7, |
||||
|
4, 5, 6, 7, 8, |
||||
|
5, 6, 7, 8, 9, |
||||
|
6, 7, 8, 9, 1, |
||||
|
7, 8, 9, 1, 2, |
||||
|
}; |
||||
|
this.AssertOffsets(kernelSize, bounds, mode, mode, expected, expected); |
||||
|
} |
||||
|
|
||||
|
[Fact] |
||||
|
public void KernalSamplingMap_Kernel5Image7x7RepeatBorderTile() |
||||
|
{ |
||||
|
var kernelSize = new Size(5, 5); |
||||
|
var bounds = new Rectangle(2, 2, 7, 7); |
||||
|
var mode = BorderWrappingMode.Repeat; |
||||
|
int[] expected = |
||||
|
{ |
||||
|
2, 2, 2, 3, 4, |
||||
|
2, 2, 3, 4, 5, |
||||
|
2, 3, 4, 5, 6, |
||||
|
3, 4, 5, 6, 7, |
||||
|
4, 5, 6, 7, 8, |
||||
|
5, 6, 7, 8, 8, |
||||
|
6, 7, 8, 8, 8, |
||||
|
}; |
||||
|
this.AssertOffsets(kernelSize, bounds, mode, mode, expected, expected); |
||||
|
} |
||||
|
|
||||
|
[Fact] |
||||
|
public void KernalSamplingMap_Kernel5Image7x7BounceBorderTile() |
||||
|
{ |
||||
|
var kernelSize = new Size(5, 5); |
||||
|
var bounds = new Rectangle(2, 2, 7, 7); |
||||
|
var mode = BorderWrappingMode.Bounce; |
||||
|
int[] expected = |
||||
|
{ |
||||
|
4, 3, 2, 3, 4, |
||||
|
3, 2, 3, 4, 5, |
||||
|
2, 3, 4, 5, 6, |
||||
|
3, 4, 5, 6, 7, |
||||
|
4, 5, 6, 7, 8, |
||||
|
5, 6, 7, 8, 7, |
||||
|
6, 7, 8, 7, 6, |
||||
|
}; |
||||
|
this.AssertOffsets(kernelSize, bounds, mode, mode, expected, expected); |
||||
|
} |
||||
|
|
||||
|
[Fact] |
||||
|
public void KernalSamplingMap_Kernel5Image7x7MirrorBorderTile() |
||||
|
{ |
||||
|
var kernelSize = new Size(5, 5); |
||||
|
var bounds = new Rectangle(2, 2, 7, 7); |
||||
|
var mode = BorderWrappingMode.Mirror; |
||||
|
int[] expected = |
||||
|
{ |
||||
|
3, 2, 2, 3, 4, |
||||
|
2, 2, 3, 4, 5, |
||||
|
2, 3, 4, 5, 6, |
||||
|
3, 4, 5, 6, 7, |
||||
|
4, 5, 6, 7, 8, |
||||
|
5, 6, 7, 8, 8, |
||||
|
6, 7, 8, 8, 7, |
||||
|
}; |
||||
|
this.AssertOffsets(kernelSize, bounds, mode, mode, expected, expected); |
||||
|
} |
||||
|
|
||||
|
[Fact] |
||||
|
public void KernalSamplingMap_Kernel5Image7x7WrapBorderTile() |
||||
|
{ |
||||
|
var kernelSize = new Size(5, 5); |
||||
|
var bounds = new Rectangle(2, 2, 7, 7); |
||||
|
var mode = BorderWrappingMode.Wrap; |
||||
|
int[] expected = |
||||
|
{ |
||||
|
7, 8, 2, 3, 4, |
||||
|
8, 2, 3, 4, 5, |
||||
|
2, 3, 4, 5, 6, |
||||
|
3, 4, 5, 6, 7, |
||||
|
4, 5, 6, 7, 8, |
||||
|
5, 6, 7, 8, 2, |
||||
|
6, 7, 8, 2, 3, |
||||
|
}; |
||||
|
this.AssertOffsets(kernelSize, bounds, mode, mode, expected, expected); |
||||
|
} |
||||
|
|
||||
|
[Fact] |
||||
|
public void KernalSamplingMap_Kernel3Image7x7RepeatBorder() |
||||
|
{ |
||||
|
var kernelSize = new Size(3, 3); |
||||
|
var bounds = new Rectangle(0, 0, 7, 7); |
||||
|
var mode = BorderWrappingMode.Repeat; |
||||
|
int[] expected = |
||||
|
{ |
||||
|
0, 0, 1, |
||||
|
0, 1, 2, |
||||
|
1, 2, 3, |
||||
|
2, 3, 4, |
||||
|
3, 4, 5, |
||||
|
4, 5, 6, |
||||
|
5, 6, 6, |
||||
|
}; |
||||
|
this.AssertOffsets(kernelSize, bounds, mode, mode, expected, expected); |
||||
|
} |
||||
|
|
||||
|
[Fact] |
||||
|
public void KernalSamplingMap_Kernel3Image7x7BounceBorder() |
||||
|
{ |
||||
|
var kernelSize = new Size(3, 3); |
||||
|
var bounds = new Rectangle(0, 0, 7, 7); |
||||
|
var mode = BorderWrappingMode.Bounce; |
||||
|
int[] expected = |
||||
|
{ |
||||
|
1, 0, 1, |
||||
|
0, 1, 2, |
||||
|
1, 2, 3, |
||||
|
2, 3, 4, |
||||
|
3, 4, 5, |
||||
|
4, 5, 6, |
||||
|
5, 6, 5, |
||||
|
}; |
||||
|
this.AssertOffsets(kernelSize, bounds, mode, mode, expected, expected); |
||||
|
} |
||||
|
|
||||
|
[Fact] |
||||
|
public void KernalSamplingMap_Kernel3Image7x7MirrorBorder() |
||||
|
{ |
||||
|
var kernelSize = new Size(3, 3); |
||||
|
var bounds = new Rectangle(0, 0, 7, 7); |
||||
|
var mode = BorderWrappingMode.Mirror; |
||||
|
int[] expected = |
||||
|
{ |
||||
|
0, 0, 1, |
||||
|
0, 1, 2, |
||||
|
1, 2, 3, |
||||
|
2, 3, 4, |
||||
|
3, 4, 5, |
||||
|
4, 5, 6, |
||||
|
5, 6, 6, |
||||
|
}; |
||||
|
this.AssertOffsets(kernelSize, bounds, mode, mode, expected, expected); |
||||
|
} |
||||
|
|
||||
|
[Fact] |
||||
|
public void KernalSamplingMap_Kernel3Image7x7WrapBorder() |
||||
|
{ |
||||
|
var kernelSize = new Size(3, 3); |
||||
|
var bounds = new Rectangle(0, 0, 7, 7); |
||||
|
var mode = BorderWrappingMode.Wrap; |
||||
|
int[] expected = |
||||
|
{ |
||||
|
6, 0, 1, |
||||
|
0, 1, 2, |
||||
|
1, 2, 3, |
||||
|
2, 3, 4, |
||||
|
3, 4, 5, |
||||
|
4, 5, 6, |
||||
|
5, 6, 0, |
||||
|
}; |
||||
|
this.AssertOffsets(kernelSize, bounds, mode, mode, expected, expected); |
||||
|
} |
||||
|
|
||||
|
[Fact] |
||||
|
public void KernalSamplingMap_Kernel3Image7x7RepeatBorderTile() |
||||
|
{ |
||||
|
var kernelSize = new Size(3, 3); |
||||
|
var bounds = new Rectangle(2, 2, 7, 7); |
||||
|
var mode = BorderWrappingMode.Repeat; |
||||
|
int[] expected = |
||||
|
{ |
||||
|
2, 2, 3, |
||||
|
2, 3, 4, |
||||
|
3, 4, 5, |
||||
|
4, 5, 6, |
||||
|
5, 6, 7, |
||||
|
6, 7, 8, |
||||
|
7, 8, 8, |
||||
|
}; |
||||
|
this.AssertOffsets(kernelSize, bounds, mode, mode, expected, expected); |
||||
|
} |
||||
|
|
||||
|
[Fact] |
||||
|
public void KernalSamplingMap_Kernel3Image7BounceBorderTile() |
||||
|
{ |
||||
|
var kernelSize = new Size(3, 3); |
||||
|
var bounds = new Rectangle(2, 2, 7, 7); |
||||
|
var mode = BorderWrappingMode.Bounce; |
||||
|
int[] expected = |
||||
|
{ |
||||
|
3, 2, 3, |
||||
|
2, 3, 4, |
||||
|
3, 4, 5, |
||||
|
4, 5, 6, |
||||
|
5, 6, 7, |
||||
|
6, 7, 8, |
||||
|
7, 8, 7, |
||||
|
}; |
||||
|
this.AssertOffsets(kernelSize, bounds, mode, mode, expected, expected); |
||||
|
} |
||||
|
|
||||
|
[Fact] |
||||
|
public void KernalSamplingMap_Kernel3Image7MirrorBorderTile() |
||||
|
{ |
||||
|
var kernelSize = new Size(3, 3); |
||||
|
var bounds = new Rectangle(2, 2, 7, 7); |
||||
|
var mode = BorderWrappingMode.Mirror; |
||||
|
int[] expected = |
||||
|
{ |
||||
|
2, 2, 3, |
||||
|
2, 3, 4, |
||||
|
3, 4, 5, |
||||
|
4, 5, 6, |
||||
|
5, 6, 7, |
||||
|
6, 7, 8, |
||||
|
7, 8, 8, |
||||
|
}; |
||||
|
this.AssertOffsets(kernelSize, bounds, mode, mode, expected, expected); |
||||
|
} |
||||
|
|
||||
|
[Fact] |
||||
|
public void KernalSamplingMap_Kernel3Image7x7WrapBorderTile() |
||||
|
{ |
||||
|
var kernelSize = new Size(3, 3); |
||||
|
var bounds = new Rectangle(2, 2, 7, 7); |
||||
|
var mode = BorderWrappingMode.Wrap; |
||||
|
int[] expected = |
||||
|
{ |
||||
|
8, 2, 3, |
||||
|
2, 3, 4, |
||||
|
3, 4, 5, |
||||
|
4, 5, 6, |
||||
|
5, 6, 7, |
||||
|
6, 7, 8, |
||||
|
7, 8, 2, |
||||
|
}; |
||||
|
this.AssertOffsets(kernelSize, bounds, mode, mode, expected, expected); |
||||
|
} |
||||
|
|
||||
|
[Fact] |
||||
|
public void KernalSamplingMap_Kernel3Image7x5WrapBorderTile() |
||||
|
{ |
||||
|
var kernelSize = new Size(3, 3); |
||||
|
var bounds = new Rectangle(2, 2, 7, 5); |
||||
|
var mode = BorderWrappingMode.Wrap; |
||||
|
int[] xExpected = |
||||
|
{ |
||||
|
8, 2, 3, |
||||
|
2, 3, 4, |
||||
|
3, 4, 5, |
||||
|
4, 5, 6, |
||||
|
5, 6, 7, |
||||
|
6, 7, 8, |
||||
|
7, 8, 2, |
||||
|
}; |
||||
|
int[] yExpected = |
||||
|
{ |
||||
|
6, 2, 3, |
||||
|
2, 3, 4, |
||||
|
3, 4, 5, |
||||
|
4, 5, 6, |
||||
|
5, 6, 2, |
||||
|
}; |
||||
|
this.AssertOffsets(kernelSize, bounds, mode, mode, xExpected, yExpected); |
||||
|
} |
||||
|
|
||||
|
private void AssertOffsets(Size kernelSize, Rectangle bounds, BorderWrappingMode xBorderMode, BorderWrappingMode yBorderMode, int[] xExpected, int[] yExpected) |
||||
|
{ |
||||
|
// Arrange
|
||||
|
var map = new KernelSamplingMap(Configuration.Default.MemoryAllocator); |
||||
|
|
||||
|
// Act
|
||||
|
map.BuildSamplingOffsetMap(kernelSize.Height, kernelSize.Width, bounds, xBorderMode, yBorderMode); |
||||
|
|
||||
|
// Assert
|
||||
|
var xOffsets = map.GetColumnOffsetSpan().ToArray(); |
||||
|
Assert.Equal(xExpected, xOffsets); |
||||
|
var yOffsets = map.GetRowOffsetSpan().ToArray(); |
||||
|
Assert.Equal(yExpected, yOffsets); |
||||
|
} |
||||
|
} |
||||
|
} |
||||
@ -0,0 +1,3 @@ |
|||||
|
version https://git-lfs.github.com/spec/v1 |
||||
|
oid sha256:4d41a41180a3371d0c4a724b40a4c86f6f975dab6be9da96964a484818770394 |
||||
|
size 30715 |
||||
@ -0,0 +1,3 @@ |
|||||
|
version https://git-lfs.github.com/spec/v1 |
||||
|
oid sha256:d478beff34179fda26238a44434607c276f55438ee96824c5af8c0188d358d8d |
||||
|
size 234 |
||||
@ -1,3 +1,3 @@ |
|||||
version https://git-lfs.github.com/spec/v1 |
version https://git-lfs.github.com/spec/v1 |
||||
oid sha256:fdf4e9b20af4168f4177d33f7f502906343bbaaae2af9b90e1531bd4452b317b |
oid sha256:5c53967bfefcfece8cd4411740c1c394e75864ca61a7a9751df3b28e727c0205 |
||||
size 40765 |
size 68646 |
||||
|
|||||
@ -0,0 +1,3 @@ |
|||||
|
version https://git-lfs.github.com/spec/v1 |
||||
|
oid sha256:fdf4e9b20af4168f4177d33f7f502906343bbaaae2af9b90e1531bd4452b317b |
||||
|
size 40765 |
||||
Loading…
Reference in new issue