public static CompressedImage Load(string path, int DCTSize)
{
var result = new CompressedImage();
using (var sr = new FileStream(path, FileMode.Open))
{
var buffer = new byte[4];
sr.Read(buffer, 0, 4);
result.Height = BitConverter.ToInt32(buffer, 0);
sr.Read(buffer, 0, 4);
result.Width = BitConverter.ToInt32(buffer, 0);
sr.Read(buffer, 0, 4);
result.CompressionLevel = BitConverter.ToInt32(buffer, 0);
sr.Read(buffer, 0, 4);
var blockSize = result.FrequencesPerBlock = BitConverter.ToInt32(buffer, 0);
var blocksCount = result.Height*result.Width/(DCTSize*DCTSize);
result.Frequences = new List<double>(blocksCount*result.FrequencesPerBlock);
for (var blockNum = 0; blockNum < blocksCount; blockNum++)
{
for (var freqNum = 0; freqNum < blockSize; freqNum++)
{
sr.Read(buffer, 0, 2);
result.Frequences.Add(BitConverter.ToInt16(buffer, 0));
}
}
}
return result;
}
public static double[,] ParallelUncompressWithDCT(this CompressedImage image, Options options)
{
var result = new double[image.Height, image.Width];
var blocksCount = image.Width * image.Height / (options.DCTSize * options.DCTSize);
var freqsCount = Enumerable.Range(1, image.CompressionLevel).Sum();
Parallel.For(0, blocksCount, blockIndex =>
{
var y = blockIndex / (image.Width / options.DCTSize);
var x = blockIndex % (image.Width / options.DCTSize);
var channelFreqs = new double[options.DCTSize, options.DCTSize];
var freqNum = blockIndex * freqsCount;
for (var i = 0; i < options.DCTSize; i++)
{
for (var j = 0; j < options.DCTSize; j++)
{
if (i + j < image.CompressionLevel)
{
channelFreqs[i, j] = image.Frequences[freqNum++];
}
}
}
var processedSubmatrix = DCTHelper.IDCT2D(channelFreqs);
processedSubmatrix.ShiftMatrixValues(128);
result.SetSubmatrix(processedSubmatrix, y * options.DCTSize, x * options.DCTSize);
});
return(result);
}
public static double[,] UncompressWithDCT(this CompressedImage image, Options options)
{
var result = new double[image.Height, image.Width];
var DCTSize = options.DCTSize;
var freqNum = 0;
for (var y = 0; y < image.Height; y += DCTSize)
{
for (var x = 0; x < image.Width; x += DCTSize)
{
var channelFreqs = new double[DCTSize, DCTSize];
for (var i = 0; i < DCTSize; i++)
{
for (var j = 0; j < DCTSize; j++)
{
if (i + j < image.CompressionLevel)
{
channelFreqs[i, j] = image.Frequences[freqNum++];
}
}
}
var processedSubmatrix = DCTHelper.IDCT2D(channelFreqs);
processedSubmatrix.ShiftMatrixValues(128);
result.SetSubmatrix(processedSubmatrix, y, x);
}
}
return(result);
}
public static CompressedImage Load(string path, int DCTSize)
{
var result = new CompressedImage();
using (var sr = new FileStream(path, FileMode.Open))
{
byte[] buffer = new byte[4];
sr.Read(buffer, 0, 4);
result.Height = BitConverter.ToInt32(buffer, 0);
sr.Read(buffer, 0, 4);
result.Width = BitConverter.ToInt32(buffer, 0);
sr.Read(buffer, 0, 4);
result.CompressionLevel = BitConverter.ToInt32(buffer, 0);
sr.Read(buffer, 0, 4);
var blockSize = result.FrequencesPerBlock = BitConverter.ToInt32(buffer, 0);
var blocksCount = result.Height * result.Width / (DCTSize * DCTSize);
result.Frequences = new List<double>(blocksCount * result.FrequencesPerBlock);
for (int blockNum = 0; blockNum < blocksCount; blockNum++)
{
for (int freqNum = 0; freqNum < blockSize; freqNum++)
{
sr.Read(buffer, 0, 2);
result.Frequences.Add(BitConverter.ToInt16(buffer, 0));
}
}
}
return result;
}
static void Main(string[] args)
{
Console.WriteLine(IntPtr.Size == 8 ? "64-bit version" : "32-bit version");
var sw = Stopwatch.StartNew();
const string fileName = @"earth.bmp";
// var fileName = "Big_Black_River_Railroad_Bridge.bmp";
var compressedFileName = fileName + ".compressed." + CompressionQuality;
var uncompressedFileName = fileName + ".uncompressed." + CompressionQuality + ".bmp";
using (var fileStream = File.OpenRead(fileName))
using (var bmp = (Bitmap)Image.FromStream(fileStream, false, false))
{
var imageMatrix = (Matrix)bmp;
sw.Stop();
Console.WriteLine($"{bmp.Width}x{bmp.Height} - {fileStream.Length / (1024.0 * 1024):F2} MB");
sw.Start();
var compressionResult = Compress(imageMatrix, CompressionQuality);
compressionResult.Save(compressedFileName);
}
sw.Stop();
GC.Collect();
Console.WriteLine("Compression: " + sw.Elapsed);
sw.Restart();
var compressedImage = CompressedImage.Load(compressedFileName);
var uncompressedImage = Uncompress(compressedImage);
var resultBmp = (Bitmap)uncompressedImage;
resultBmp.Save(uncompressedFileName, ImageFormat.Bmp);
Console.WriteLine("Decompression: " + sw.Elapsed);
Console.WriteLine($"Peak commit size: {MemoryMeter.PeakPrivateBytes() / (1024.0*1024):F2} MB");
Console.WriteLine($"Peak working set: {MemoryMeter.PeakWorkingSet() / (1024.0*1024):F2} MB");
}
public static void Main(string[] args)
{
try
{
Console.WriteLine(IntPtr.Size == 8 ? "64-bit version" : "32-bit version");
var sw = Stopwatch.StartNew();
//var fileName = @"sample.bmp";
//var fileName = @"MARBLES.BMP";
//var fileName = @"earth.bmp";
var fileName = @"kot.jpg";
var compressedFileName = fileName + ".compressed." + CompressionQuality;
var uncompressedFileName = fileName + ".uncompressed." + CompressionQuality + ".bmp";
var imageMatrix = Matrix.FromFile(fileName, out var length);
sw.Stop();
Console.WriteLine($"{imageMatrix.Width}x{imageMatrix.Height} - {length / (1024.0 * 1024):F2} MB");
sw.Start();
var compressionResult = Compress(imageMatrix);
compressionResult.Save(compressedFileName);
sw.Stop();
Console.WriteLine("Compression: " + sw.Elapsed);
sw.Restart();
var compressedImage = CompressedImage.Load(compressedFileName);
var uncompressedImage = Uncompress(compressedImage);
uncompressedImage.SaveToFile(uncompressedFileName);
Console.WriteLine("Decompression: " + sw.Elapsed);
Console.WriteLine($"Peak commit size: {MemoryMeter.PeakPrivateBytes() / (1024.0*1024):F2} MB");
Console.WriteLine($"Peak working set: {MemoryMeter.PeakWorkingSet() / (1024.0*1024):F2} MB");
}
catch (Exception e)
{
Console.WriteLine(e);
}
}
private static Matrix Uncompress(CompressedImage image)
{
var result = new Matrix(image.Height, image.Width);
using (var allQuantizedBytes =
new MemoryStream(HuffmanCodec.Decode(image.CompressedBytes, image.DecodeTable, image.BitsCount)))
{
for (var y = 0; y < image.Height; y += DCTSize)
{
for (var x = 0; x < image.Width; x += DCTSize)
{
var _y = new double[DCTSize, DCTSize];
var cb = new double[DCTSize, DCTSize];
var cr = new double[DCTSize, DCTSize];
foreach (var channel in new [] { _y, cb, cr })
{
var quantizedBytes = new byte[DCTSize * DCTSize];
allQuantizedBytes.ReadAsync(quantizedBytes, 0, quantizedBytes.Length).Wait();
var quantizedFreqs = ZigZagUnScan(quantizedBytes);
var channelFreqs = DeQuantize(quantizedFreqs, image.Quality);
DCT.IDCT2D(channelFreqs, channel);
ShiftMatrixValues(channel, 128);
}
SetPixels(result, _y, cb, cr, PixelFormat.YCbCr, y, x);
}
}
}
return(result);
}
public void Decompress()
{
var compressedImage = CompressedImage.Load(compressedFileName);
var uncompressedImage = Decompress(compressedImage);
var resultBmp = (Bitmap)uncompressedImage;
resultBmp.Save(uncompressedFileName, ImageFormat.Bmp);
}
public static CompressedImage Load(string path)
{
var result = new CompressedImage();
using (var sr = new FileStream(path, FileMode.Open))
{
var buffer = new byte[8];
sr.Read(buffer, 0, 4);
result.RealWidth = BitConverter.ToInt32(buffer, 0);
sr.Read(buffer, 0, 4);
result.RealHeight = BitConverter.ToInt32(buffer, 0);
sr.Read(buffer, 0, 4);
result.Width = BitConverter.ToInt32(buffer, 0);
sr.Read(buffer, 0, 4);
result.Height = BitConverter.ToInt32(buffer, 0);
sr.Read(buffer, 0, 4);
result.Quality = BitConverter.ToInt32(buffer, 0);
sr.Read(buffer, 0, 4);
var decodeTableSize = BitConverter.ToInt32(buffer, 0);
result.DecodeTable = new Dictionary <BitsWithLength, byte>(decodeTableSize, new BitsWithLength.Comparer());
for (var i = 0; i < decodeTableSize; i++)
{
sr.Read(buffer, 0, 4);
var bits = BitConverter.ToInt32(buffer, 0);
sr.Read(buffer, 0, 4);
var bitsCount = BitConverter.ToInt32(buffer, 0);
var mappedByte = (byte)sr.ReadByte();
result.DecodeTable[new BitsWithLength {
Bits = bits, BitsCount = bitsCount
}] = mappedByte;
}
sr.Read(buffer, 0, 8);
result.BitsCount = BitConverter.ToInt64(buffer, 0);
sr.Read(buffer, 0, 4);
var compressedBytesCount = BitConverter.ToInt32(buffer, 0);
result.CompressedBytes = new byte[compressedBytesCount];
var totalRead = 0;
while (totalRead < compressedBytesCount)
{
totalRead += sr.Read(result.CompressedBytes, totalRead, compressedBytesCount - totalRead);
}
}
return(result);
}
public static CompressedImage Load(string path, int dctSize)
{
var result = new CompressedImage();
using (var sr = new FileStream(path, FileMode.Open))
{
var buffer = new byte[4];
sr.Read(buffer, 0, 4);
result.Height = BitConverter.ToInt32(buffer, 0);
sr.Read(buffer, 0, 4);
result.Width = BitConverter.ToInt32(buffer, 0);
sr.Read(buffer, 0, 4);
result.PixelFormat = (PixelFormat)BitConverter.ToInt32(buffer, 0);
sr.Read(buffer, 0, 4);
result.ThinIndex = BitConverter.ToInt32(buffer, 0);
sr.Read(buffer, 0, 4);
result.CompressionLevel = BitConverter.ToInt32(buffer, 0);
sr.Read(buffer, 0, 4);
result.NumberDataBytes = BitConverter.ToInt32(buffer, 0);
var byteList = new List <byte>();
for (var blockNum = 0; blockNum < result.NumberDataBytes; blockNum++)
{
sr.Read(buffer, 0, 1);
byteList.Add(buffer[0]);
}
result.DataBytes = byteList.ToArray();
sr.Read(buffer, 0, 4);
result.BitsCount = BitConverter.ToInt32(buffer, 0);
sr.Read(buffer, 0, 4);
var numberBytesDecodeTable = BitConverter.ToInt32(buffer, 0);
var bigBuffer = new byte[numberBytesDecodeTable];
sr.Read(bigBuffer, 0, numberBytesDecodeTable);
var mStream = new MemoryStream();
var binFormatter = new BinaryFormatter();
mStream.Write(bigBuffer, 0, bigBuffer.Length);
mStream.Position = 0;
var myObject = binFormatter.Deserialize(mStream) as Dictionary <BitsWithLength, byte>;
result.DecodeTable = myObject;
}
return(result);
}
private static void Main()
{
Process.GetCurrentProcess().ProcessorAffinity = (IntPtr)3;
Console.WriteLine(IntPtr.Size == 8 ? "64-bit version" : "32-bit version");
var fileName = "sample.bmp";
//var fileName = "earth.bmp";
//var fileName = "marbles.bmp";
//var fileName = "marbles2.bmp";
fileName = fileName.Insert(0, @"Images\");
var compressedFileName = fileName + ".compressed." + CompressionQuality;
var uncompressedFileName = fileName + ".uncompressed." + CompressionQuality + ".bmp";
var sw = Stopwatch.StartNew();
using (var fileStream = File.OpenRead(fileName))
using (var bmp = (Bitmap)Image.FromStream(fileStream, false, false))
{
var imageMatrix = (Matrix)bmp;
sw.Stop();
Console.WriteLine("getPixel: {0}", sw.ElapsedMilliseconds);
Console.WriteLine($"{bmp.Width}x{bmp.Height} - {fileStream.Length / (1024.0 * 1024):F2} MB");
sw.Start();
var compressionResult = Compress(imageMatrix);
sw.Stop();
Console.WriteLine("Compression: " + sw.Elapsed);
compressionResult.Save(compressedFileName);
}
var compressedImage = CompressedImage.Load(compressedFileName);
sw.Restart();
var uncompressedImage = Uncompress(compressedImage);
Console.WriteLine("Decompression: " + sw.Elapsed);
sw.Restart();
var resultBmp = (Bitmap)uncompressedImage;
Console.WriteLine("setPixel: {0}", sw.ElapsedMilliseconds);
resultBmp.Save(uncompressedFileName, ImageFormat.Bmp);
Console.WriteLine($"Peak commit size: {MemoryMeter.PeakPrivateBytes() / (1024.0 * 1024):F2} MB");
Console.WriteLine($"Peak working set: {MemoryMeter.PeakWorkingSet() / (1024.0 * 1024):F2} MB");
}
private static Matrix Uncompress(CompressedImage image)
{
var result = new Matrix(image.Height, image.Width, image.RealHeight, image.RealWidth);
using (var allQuantizedBytes =
new MemoryStream(HuffmanCodec.Decode(image.CompressedBytes, image.DecodeTable, image.BitsCount)))
{
Parallel.ForEach(Enumerable.Range(0, image.Height / DCTSize).Select(y => y * DCTSize), y =>
{
for (var x = 0; x < image.Width; x += DCTSize)
{
var _y = new double[DCTSize, DCTSize];
var cb = new double[DCTSize, DCTSize];
var cr = new double[DCTSize, DCTSize];
for (var i = 0; i < 3; i++)
{
var quantizedBytes = new byte[DCTSize * DCTSize];
allQuantizedBytes.Position = (x * 8 + y * image.Width) * 3 + 64 * i;
allQuantizedBytes.ReadAsync(quantizedBytes, 0, quantizedBytes.Length).Wait();
var quantizedFreqs = ZigZagUnScan(quantizedBytes);
var channelFreqs = DeQuantize(quantizedFreqs, image.Quality);
DCT.IDCT2D(channelFreqs);
ShiftMatrixValues(channelFreqs, 128);
switch (i)
{
case 0:
_y = channelFreqs;
break;
case 1:
cb = channelFreqs;
break;
default:
cr = channelFreqs;
break;
}
}
SetPixels(result, _y, cb, cr, PixelFormat.YCbCr, y, x);
}
});
}
return(result);
}
private static void Decode(Options options)
{
var uncompressedFileName = options.PathToEncoded + ".uncompressed." + options.DCTSize + "." +
CalcCompressionLevel(options) + ".bmp";
var data = File.ReadAllBytes(options.PathToEncoded);
var encodedDataLength = BitConverter.ToInt32(data, 0);
var encodedData = new byte[encodedDataLength];
Buffer.BlockCopy(data, 4, encodedData, 0, encodedDataLength);
var decodeTable = DeserializeDecodeTable(data, 4 + encodedDataLength);
var decodedHuffman = HuffmanCodec.Decode(encodedData, decodeTable, options);
var compressedImg = CompressedImage.LoadFromBytesArray(decodedHuffman, options.DCTSize);
compressedImg
.ParallelUncompressWithDCT(options)
.GrayscaleMatrixToBitmap()
.Save(uncompressedFileName);
}
private static CbCrImage Uncompress(CompressedImage image)
{
var result = new CbCrImage(image.Height, image.Width);
var DCTcoefficients = DCT.GetCoefficientsMatrix(DCTSize, DCTSize);
var transponseDCTcoefficients = DCT.Transpose(DCTcoefficients);
var quantizationMatrix = GetQuantizationMatrix(image.Quality);
using (var allQuantizedBytes =
new MemoryStream(HuffmanCodec.Decode(image.CompressedBytes, image.DecodeTable, image.BitsCount)))
{
Parallel.For(0, image.Height / DCTSize, ky =>
{
var y = ky;
Parallel.For(0, image.Width / DCTSize, _x =>
{
var x = _x;
var _y = new double[DCTSize, DCTSize];
var cb = new double[DCTSize, DCTSize];
var cr = new double[DCTSize, DCTSize];
var c = 0;
foreach (var channel in new[] { _y, cb, cr })
{
var quantizedBytes = new byte[DCTSize * DCTSize];
lock (allQuantizedBytes)
{
allQuantizedBytes.Seek((y * (image.Width / 8) + x) * 8 * 8 * 3 + 8 * 8 * c, SeekOrigin.Begin);
allQuantizedBytes.ReadAsync(quantizedBytes, 0, quantizedBytes.Length).Wait();
}
c++;
var quantizedFreqs = ZigZagUnScan(quantizedBytes);
var channelFreqs = DeQuantize(quantizedFreqs, quantizationMatrix);
DCT.IDCT2D(channelFreqs, channel, DCTcoefficients, transponseDCTcoefficients);
}
SetPixels(result, _y, cb, cr, y * DCTSize, x * DCTSize, 128);
});
});
}
return(result);
}
static void Main(string[] args)
{
try
{
var sw = Stopwatch.StartNew();
var fileName = @"..\..\sample.bmp";
var compressedFileName = fileName + ".compressed." + CompressionQuality;
var uncompressedFileName = fileName + ".uncompressed." + CompressionQuality + ".bmp";
using (var fileStream = File.OpenRead(fileName))
using (var bmp = (Bitmap)Image.FromStream(fileStream, false, false))
{
var imageMatrix = (Matrix)bmp;
sw.Stop();
Console.WriteLine($"{bmp.Width}x{bmp.Height} - {fileStream.Length / (1024.0 * 1024):F2} MB");
sw.Start();
var compressionResult = Compress(imageMatrix, CompressionQuality);
compressionResult.Save(compressedFileName);
}
sw.Stop();
Console.WriteLine("Compression: " + sw.Elapsed);
sw.Restart();
var compressedImage = CompressedImage.Load(compressedFileName);
var uncompressedImage = Uncompress(compressedImage);
var resultBmp = (Bitmap)uncompressedImage;
resultBmp.Save(uncompressedFileName, ImageFormat.Bmp);
Console.WriteLine("Decompression: " + sw.Elapsed);
Console.WriteLine($"Peak commit size: {MemoryMeter.PeakPrivateBytes() / (1024.0 * 1024):F2} MB");
Console.WriteLine($"Peak working set: {MemoryMeter.PeakWorkingSet() / (1024.0 * 1024):F2} MB");
}
catch (Exception e)
{
Console.WriteLine(e);
}
}
private static void Main(string[] args)
{
ApplicationOptions options;
if (!TryArgsParse(args, out options))
{
return;
}
//try
//{
SetMaxThread(options.MaxThreads);
const int thinIndex = 2;
var countSaveFrequence = PercentToCountFrequence(options.PercentCompress, options.Dct);
var applicationModule = new ApplicationModule(options.Dct, countSaveFrequence, thinIndex);
var applicationKernel = new StandardKernel(applicationModule);
if (options.PathCompressFile != null)
{
var jpegCompressor = applicationKernel.Get <ICompressor>();
var bmp = (Bitmap)Image.FromFile(options.PathSourceFile);
var compressedImage = jpegCompressor.Compress(bmp);
compressedImage.Save(options.PathCompressFile);
}
if (options.PathDecompressFile != null)
{
var jpegDecompressor = applicationKernel.Get <IDecompressor>();
var compressedImage = CompressedImage.Load(options.PathSourceFile, options.Dct);
var decompressedImage = jpegDecompressor.Decompress(compressedImage);
decompressedImage.Save(options.PathDecompressFile, ImageFormat.Bmp);
}
//}
//catch (Exception e)
//{
// Console.WriteLine(e);
//}
}
private Matrix Decompress(CompressedImage image)
{
if (image.Quality != compressionQuality)
{
quantizationMatrix = GetQuantizationMatrix(image.Quality);
}
var matrix = new Matrix(image.Height, image.Width, PixelFormat.YCbCr);
var allQuantizedBytes = HuffmanCodec.Decode(image.CompressedBytes, image.DecodeTable, image.BitsCount);
var heigth = image.Height / DCTSize;
var width = image.Width / DCTSize;
var dct = new DCT(DCTSize);
Parallel.For(0, heigth, h =>
{
Parallel.For(0, width, w =>
{
var y = new double[DCTSize, DCTSize];
var cb = new double[DCTSize, DCTSize];
var cr = new double[DCTSize, DCTSize];
var channels = new[] { y, cb, cr };
var blockLength = DCTSize * DCTSize * channels.Length;
var readPos = h * blockLength * width + w * blockLength;
for (var i = 0; i < channels.Length; i++)
{
var channel = channels[i];
var channelReadPos = readPos + i * DCTSize * DCTSize;
var quantizedBytes = allQuantizedBytes.ReadFrom(channelReadPos, DCTSize * DCTSize);
var quantizedFreqs = ZigZagUnScan(quantizedBytes);
var channelFreqs = DeQuantize(quantizedFreqs);
dct.IDCT2D(channelFreqs, channel);
channel.ShiftValues(128);
}
matrix.SetPixels(y, cb, cr, h * DCTSize, w * DCTSize);
});
});
return(matrix);
}
public static Matrix Uncompress(CompressedImage image)
{
var result = new Matrix(image.Height, image.Width);
var container = new byte[image.Height * image.Width * 3];
using (var allQuantizedBytes =
new MemoryStream(HuffmanCodec.Decode(image.CompressedBytes, image.DecodeTable, image.BitsCount)))
allQuantizedBytes.Read(container);
var qm = GetQuantizationMatrix(image.Quality);
Parallel.For(0, image.Height / 8, i =>
{
var y = i * 8;
for (var x = 0; x < image.Width; x += DCTSize)
{
var channels = new[]
{ new double[DCTSize, DCTSize], new double[DCTSize, DCTSize], new double[DCTSize, DCTSize] };
for (var index = 0; index < 3; index++)
{
var channel = channels[index];
var quantizedBytes = new byte[DCTSize * DCTSize];
Array.Copy(container, (index + 3 * i * image.Width / 8 + 3 * x / 8) * 64, quantizedBytes, 0,
64);
var quantizedFreqs = ZigZagUnScan(quantizedBytes);
var channelFreqs = DeQuantize(quantizedFreqs, qm);
DCT.IDCT2D(channelFreqs, channel);
ShiftMatrixValues(channel, 128);
}
SetPixels(result, channels[0], channels[1], channels[2], PixelFormat.YCbCr, y, x);
}
});
return(result);
}
private static Matrix Uncompress(CompressedImage image)
{
var result = new Matrix(image.Height, image.Width);
// using (var allQuantizedBytes =
// new MemoryStream(HuffmanCodec.Decode(image.CompressedBytes, image.DecodeTable, image.BitsCount)))
// {
// for (var y = 0; y < image.Height; y += DCTSize)
// for (var x = 0; x < image.Width; x += DCTSize)
// {
// var _y = new double[DCTSize, DCTSize];
// var cb = new double[DCTSize, DCTSize];
// var cr = new double[DCTSize, DCTSize];
// foreach (var channel in new[] {_y, cb, cr})
// {
// var quantizedBytes = new byte[DCTSize * DCTSize];
// allQuantizedBytes.ReadAsync(quantizedBytes, 0, quantizedBytes.Length).Wait();
// var quantizedFreqs = ZigZagUnScan(quantizedBytes);
// var channelFreqs = DeQuantize(quantizedFreqs, image.Quality);
// DCT.IDCT2D(channelFreqs, channel);
// ShiftMatrixValues(channel, 128);
// }
//
// SetPixels(result, _y, cb, cr, PixelFormat.YCbCr, y, x);
// }
// }
var decodedBytesArray = HuffmanCodec.Decode(image.CompressedBytes, image.DecodeTable, image.BitsCount);
var tuples = new List <(int, int)>();
for (var y = 0; y < image.Height; y += DCTSize)
{
for (var x = 0; x < image.Width; x += DCTSize)
{
tuples.Add((x, y));
}
}
// var allQuantizedBytes = new List<byte>[tuples.Count];
Parallel.For(0, tuples.Count, i =>
{
var(x, y) = tuples[i];
var _y = new double[DCTSize, DCTSize];
var cb = new double[DCTSize, DCTSize];
var cr = new double[DCTSize, DCTSize];
var offset = 0;
foreach (var channel in new[] { _y, cb, cr })
{
var quantizedBytes = new byte[DCTSize * DCTSize];
Buffer.BlockCopy(decodedBytesArray, quantizedBytes.Length * (i * 3 + offset), quantizedBytes, 0, quantizedBytes.Length);
var quantizedFreqs = ZigZagUnScan(quantizedBytes);
var channelFreqs = DeQuantize(quantizedFreqs, image.Quality);
DCT.IDCT2D(channelFreqs, channel);
ShiftMatrixValues(channel, 128);
offset++;
}
SetPixels(result, _y, cb, cr, PixelFormat.YCbCr, y, x);
});
return(result);
}
