SuperVPN/output/Libraries/AForge.Imaging/AForge/Imaging/ExhaustiveBlockMatching.cs

using System;
using System.Collections.Generic;
using System.Drawing;
using System.Drawing.Imaging;

namespace AForge.Imaging;

public class ExhaustiveBlockMatching : IBlockMatching
{
	private class MatchingsSorter : IComparer<BlockMatch>
	{
		public int Compare(BlockMatch x, BlockMatch y)
		{
			float num = y.Similarity - x.Similarity;
			if (!(num > 0f))
			{
				if (!(num < 0f))
				{
					return 0;
				}
				return -1;
			}
			return 1;
		}
	}

	private int blockSize = 16;

	private int searchRadius = 12;

	private float similarityThreshold = 0.9f;

	public int SearchRadius
	{
		get
		{
			return searchRadius;
		}
		set
		{
			searchRadius = value;
		}
	}

	public int BlockSize
	{
		get
		{
			return blockSize;
		}
		set
		{
			blockSize = value;
		}
	}

	public float SimilarityThreshold
	{
		get
		{
			return similarityThreshold;
		}
		set
		{
			similarityThreshold = System.Math.Min(1f, System.Math.Max(0f, value));
		}
	}

	public ExhaustiveBlockMatching()
	{
	}

	public ExhaustiveBlockMatching(int blockSize, int searchRadius)
	{
		this.blockSize = blockSize;
		this.searchRadius = searchRadius;
	}

	public List<BlockMatch> ProcessImage(Bitmap sourceImage, List<IntPoint> coordinates, Bitmap searchImage)
	{
		//IL_0016: Unknown result type (might be due to invalid IL or missing references)
		//IL_0037: Unknown result type (might be due to invalid IL or missing references)
		BitmapData val = sourceImage.LockBits(new Rectangle(0, 0, ((Image)sourceImage).Width, ((Image)sourceImage).Height), (ImageLockMode)1, ((Image)sourceImage).PixelFormat);
		BitmapData val2 = searchImage.LockBits(new Rectangle(0, 0, ((Image)searchImage).Width, ((Image)searchImage).Height), (ImageLockMode)1, ((Image)searchImage).PixelFormat);
		try
		{
			return ProcessImage(new UnmanagedImage(val), coordinates, new UnmanagedImage(val2));
		}
		finally
		{
			sourceImage.UnlockBits(val);
			searchImage.UnlockBits(val2);
		}
	}

	public List<BlockMatch> ProcessImage(BitmapData sourceImageData, List<IntPoint> coordinates, BitmapData searchImageData)
	{
		return ProcessImage(new UnmanagedImage(sourceImageData), coordinates, new UnmanagedImage(searchImageData));
	}

	public unsafe List<BlockMatch> ProcessImage(UnmanagedImage sourceImage, List<IntPoint> coordinates, UnmanagedImage searchImage)
	{
		//IL_0028: Unknown result type (might be due to invalid IL or missing references)
		//IL_0032: Invalid comparison between Unknown and I4
		//IL_004d: Unknown result type (might be due to invalid IL or missing references)
		//IL_0053: Unknown result type (might be due to invalid IL or missing references)
		//IL_0035: Unknown result type (might be due to invalid IL or missing references)
		//IL_003f: Invalid comparison between Unknown and I4
		//IL_0089: Unknown result type (might be due to invalid IL or missing references)
		//IL_0093: Invalid comparison between Unknown and I4
		if (sourceImage.Width != searchImage.Width || sourceImage.Height != searchImage.Height)
		{
			throw new InvalidImagePropertiesException("Source and search images sizes must match");
		}
		if ((int)sourceImage.PixelFormat != 198659 && (int)sourceImage.PixelFormat != 137224)
		{
			throw new UnsupportedImageFormatException("Source images can be graysclae (8 bpp indexed) or color (24 bpp) image only");
		}
		if (sourceImage.PixelFormat != searchImage.PixelFormat)
		{
			throw new InvalidImagePropertiesException("Source and search images must have same pixel format");
		}
		int count = coordinates.Count;
		List<BlockMatch> list = new List<BlockMatch>();
		int width = sourceImage.Width;
		int height = sourceImage.Height;
		int stride = sourceImage.Stride;
		int num = (((int)sourceImage.PixelFormat == 198659) ? 1 : 3);
		int num2 = blockSize / 2;
		int num3 = 2 * searchRadius;
		int num4 = blockSize * num;
		int num5 = stride - blockSize * num;
		int num6 = blockSize * blockSize * num * 255;
		int num7 = (int)(similarityThreshold * (float)num6);
		byte* ptr = (byte*)sourceImage.ImageData.ToPointer();
		byte* ptr2 = (byte*)searchImage.ImageData.ToPointer();
		for (int i = 0; i < count; i++)
		{
			int x = coordinates[i].X;
			int y = coordinates[i].Y;
			if (x - num2 < 0 || x + num2 >= width || y - num2 < 0 || y + num2 >= height)
			{
				continue;
			}
			int num8 = x - num2 - searchRadius;
			int num9 = y - num2 - searchRadius;
			int x2 = x;
			int y2 = y;
			int num10 = int.MaxValue;
			for (int j = 0; j < num3; j++)
			{
				if (num9 + j < 0 || num9 + j + blockSize >= height)
				{
					continue;
				}
				for (int k = 0; k < num3; k++)
				{
					int num11 = num8 + k;
					int num12 = num9 + j;
					if (num11 < 0 || num12 + blockSize >= width)
					{
						continue;
					}
					byte* ptr3 = ptr + (nint)(y - num2) * (nint)stride + (nint)(x - num2) * (nint)num;
					byte* ptr4 = ptr2 + (nint)num12 * (nint)stride + (nint)num11 * (nint)num;
					int num13 = 0;
					for (int l = 0; l < blockSize; l++)
					{
						int num14 = 0;
						while (num14 < num4)
						{
							int num15 = *ptr3 - *ptr4;
							num13 = ((num15 <= 0) ? (num13 - num15) : (num13 + num15));
							num14++;
							ptr3++;
							ptr4++;
						}
						ptr3 += num5;
						ptr4 += num5;
					}
					if (num13 < num10)
					{
						num10 = num13;
						x2 = num11 + num2;
						y2 = num12 + num2;
					}
				}
			}
			int num16 = num6 - num10;
			if (num16 >= num7)
			{
				list.Add(new BlockMatch(new IntPoint(x, y), new IntPoint(x2, y2), (float)num16 / (float)num6));
			}
		}
		list.Sort(new MatchingsSorter());
		return list;
	}
}