public void ForwardTest()
{
double[,] input =
{
{ 0.996078431372549, 0.996078431372549, 0.996078431372549, 0.996078431372549, 0.996078431372549, 0.996078431372549, 0.996078431372549, 0.996078431372549 },
{ 0.996078431372549, 0.996078431372549, 0.862745098039216, 0, 0.662745098039216, 0.996078431372549, 0.996078431372549, 0.996078431372549 },
{ 0.996078431372549, 0.996078431372549, 0.529411764705882, 0.129411764705882, 0.262745098039216, 0.996078431372549, 0.996078431372549, 0.996078431372549 },
{ 0.996078431372549, 0.996078431372549, 0.0627450980392157, 0.662745098039216, 0.0627450980392157, 0.862745098039216, 0.996078431372549, 0.996078431372549 },
{ 0.996078431372549, 0.662745098039216, 0, 0, 0, 0.529411764705882, 0.996078431372549, 0.996078431372549 },
{ 0.996078431372549, 0.262745098039216, 0.529411764705882, 0.996078431372549, 0.729411764705882, 0.0627450980392157, 0.996078431372549, 0.996078431372549 },
{ 0.862745098039216, 0, 0.929411764705882, 0.996078431372549, 0.996078431372549, 0.129411764705882, 0.662745098039216, 0.996078431372549 },
{ 0.996078431372549, 0.996078431372549, 0.996078431372549, 0.996078431372549, 0.996078431372549, 0.996078431372549, 0.996078431372549, 0.996078431372549 }
};
CosineTransform.DCT(input);
double[,] actual = input;
double[,] expected =
{
{ 6.1917, -0.3411, 1.2418, 0.1492, 0.1583, 0.2742, -0.0724, 0.0561 },
{ 0.2205, 0.0214, 0.4503, 0.3947, -0.7846, -0.4391, 0.1001, -0.2554 },
{ 1.0423, 0.2214, -1.0017, -0.2720, 0.0789, -0.1952, 0.2801, 0.4713 },
{ -0.2340, -0.0392, -0.2617, -0.2866, 0.6351, 0.3501, -0.1433, 0.3550 },
{ 0.2750, 0.0226, 0.1229, 0.2183, -0.2583, -0.0742, -0.2042, -0.5906 },
{ 0.0653, 0.0428, -0.4721, -0.2905, 0.4745, 0.2875, -0.0284, -0.1311 },
{ 0.3169, 0.0541, -0.1033, -0.0225, -0.0056, 0.1017, -0.1650, -0.1500 },
{ -0.2970, -0.0627, 0.1960, 0.0644, -0.1136, -0.1031, 0.1887, 0.1444 },
};
Assert.IsTrue(actual.IsEqual(expected, 0.05));
}
/// <summary>
/// Main Jpeg encode
/// </summary>
/// <param name="source">source data</param>
/// <param name="qf">quality factor</param>
/// <returns>encoded bytes</returns>
public byte[] Encode(byte[] source, int qf)
{
// divide into 8x8
Divide8x8Block(source);
// do dct for every 8x8 block
_blocks.ForEach(block =>
{
block = block.Subtract(128);
var array = block.ToArray();
CosineTransform.DCT(array);
var matrix = Matrix <double> .Build.DenseOfArray(array);
_dctedBlocks.Add(matrix);
});
// do quantization
_dctedBlocks.ForEach(dctedBlocks =>
{
Quantize(dctedBlocks, qf);
_quantizedBlocks.Add(dctedBlocks);
});
// do RLE
List <RLEBlock> rleBlocks = _rlEncoder.Encode(_quantizedBlocks);
// construct code word by RLE
return(Utility.BoolArrayToByteArray(CodeWordEncoder.ConstructCodeWord(rleBlocks)));
}
public static double[] Transform(double[] functionPoints, string transformate)
{
var copyofFunctionsPoints = functionPoints;
switch (transformate)
{
case "FFT":
var complexArray = Array.ConvertAll(copyofFunctionsPoints, x => new Complex(x, 0));
FourierTransform.DFT(complexArray, FourierTransform.Direction.Forward);
copyofFunctionsPoints = Array.ConvertAll(complexArray, z => z.Real);
break;
case "IFFT":
var complexArray2 = Array.ConvertAll(copyofFunctionsPoints, x => new Complex(x, 0));
FourierTransform.DFT(complexArray2, FourierTransform.Direction.Backward);
copyofFunctionsPoints = Array.ConvertAll(complexArray2, z => z.Real);
break;
case "DST":
SineTransform.DST(copyofFunctionsPoints);
break;
case "IDST":
SineTransform.IDST(copyofFunctionsPoints);
break;
case "DCT":
CosineTransform.DCT(copyofFunctionsPoints);
break;
case "IDCT":
CosineTransform.IDCT(copyofFunctionsPoints);
break;
case "DHT":
HartleyTransform.DHT(copyofFunctionsPoints);
break;
case "FHT":
HilbertTransform.FHT(copyofFunctionsPoints,
FourierTransform.Direction.Forward);
break;
case "IFHT":
HilbertTransform.FHT(copyofFunctionsPoints,
FourierTransform.Direction.Backward);
break;
default:
throw new ArgumentException("Unknown transformation!");
}
return(copyofFunctionsPoints); //athenia programuje//dididididi//di/kocham PaciA// JJKAKAKK K
}
public FrequencyData(WaveData waveData, int blockIndex)
{
var offset = blockIndex * BlockSize;
Parallel.For(0, BlockSize, i =>
{
Spectrum[i] = waveData.Samples[offset + i];
});
CosineTransform.DCT(Spectrum);
CalculatePowerSpectrum();
}
public double[] ComputeMfcc12D(ReadOnlySpan <float> samples)
{
var filtered = MelSpectrum(samples);
CosineTransform.DCT(filtered);
const int resultDimension = 12;
var result = new double[resultDimension];
// Min は応急処置（頭が悪い）
Array.Copy(filtered, 1, result, 0, Math.Min(resultDimension, filtered.Length - 1));
return(result);
}
private void EmbedWatermark(double[,] data)
{
double[,] watermarkData = new double[_watermarkPixels.Width, _watermarkPixels.Height];
//convet 32*32 watermark picture to black and white only (102->black(0);922->wthite(255))
for (int x = 0; x < _watermarkPixels.Width; x++)
{
for (int y = 0; y < _watermarkPixels.Height; y++)
{
watermarkData[x, y] = _watermarkPixels.R[x, y] > 125 ? 255 : 0;//convert to black or white only
}
}
//test
//ParallelHaar.FWT(data, 2);
//var subband = LL2(data);
var subband = data;
Parallel.For(0, _watermarkPixels.Height, y => //height = 32
{
for (int x = 0; x < _watermarkPixels.Width; x++) //width = 32
{
//BlockSize = 4
var block = subband.Submatrix(x * BlockSize, x * BlockSize + BlockSize - 1, y * BlockSize, y * BlockSize + BlockSize - 1);
CosineTransform.DCT(block);//DCT here
var midbandSum = Math.Max(2, Math.Abs(MidBand(block).Sum()));
var sigma = (watermarkData[x, y] > 125 ? 3 : -3);
block[1, 2] += midbandSum * sigma;
block[2, 0] += midbandSum * sigma;
block[2, 1] += midbandSum * sigma;
block[2, 2] += midbandSum * sigma;
CosineTransform.IDCT(block);
for (int i = 0; i < BlockSize; i++)
{
for (int j = 0; j < BlockSize; j++)
{
subband[x * BlockSize + i, y * BlockSize + j] = block[i, j];
}
}
}
});
BackApplySubBand(data, subband);
ParallelHaar.IWT(data, 2);
}//end EmbedWatermark
private void EmbedWatermark(double[,] data)
{
double[,] watermarkData = new double[_watermarkPixels.Width, _watermarkPixels.Height];
for (int x = 0; x < _watermarkPixels.Width; x++)
{
for (int y = 0; y < _watermarkPixels.Height; y++)
{
watermarkData[x, y] = _watermarkPixels.R[x, y] > 125 ? 255 : 0;
}
}
ParallelHaar.FWT(data, 2);
var subband = LL2(data);
Parallel.For(0, _watermarkPixels.Height, y =>
{
for (int x = 0; x < _watermarkPixels.Width; x++)
{
var block = subband.Submatrix(x * BlockSize, x * BlockSize + BlockSize - 1, y * BlockSize, y * BlockSize + BlockSize - 1);
CosineTransform.DCT(block);
var midbandSum = Math.Max(2, Math.Abs(MidBand(block).Sum()));
var sigma = (watermarkData[x, y] > 125 ? 3 : -3);
block[1, 2] += midbandSum * sigma;
block[2, 0] += midbandSum * sigma;
block[2, 1] += midbandSum * sigma;
block[2, 2] += midbandSum * sigma;
CosineTransform.IDCT(block);
for (int i = 0; i < BlockSize; i++)
{
for (int j = 0; j < BlockSize; j++)
{
subband[x * BlockSize + i, y * BlockSize + j] = block[i, j];
}
}
}
});
BackApplySubBand(data, subband);
ParallelHaar.IWT(data, 2);
}
static void Main(string[] args)
{
const int P = 25;
Console.WriteLine($"P - {P}");
int[,] F1Array =
{
{ 3, 0 },
{ 3, 1 },
{ 3, 2 },
{ 4, 0 },
{ 4, 1 },
{ 4, 2 },
{ 5, 0 },
{ 5, 1 }
};//координати коефіцієнтів F1
int[,] F2Array =
{
{ 0, 3 },
{ 1, 3 },
{ 2, 3 },
{ 0, 4 },
{ 1, 4 },
{ 2, 4 },
{ 0, 5 },
{ 1, 5 }
}; //координати коефіцієнтів F2
int[] CharByte = { 0, 1, 0, 0, 0, 0, 0, 1 }; //буква в бітах
double[,] matrix =
{
{ 71, 61, 59, 59, 68, 70, 93, 73 },
{ 68, 67, 71, 69, 76, 76, 91, 80 },
{ 80, 77, 81, 83, 88, 84, 84, 90 },
{ 93, 83, 84, 91, 101, 91, 97, 97 },
{ 85, 80, 80, 87, 94, 91, 97, 101 },
{ 77, 76, 78, 78, 76, 76, 93, 99 },
{ 70, 73, 79, 76, 67, 65, 85, 95 },
{ 74, 80, 91, 83, 65, 56, 79, 102 },
};
double[,] original = new double[matrix.GetLength(0), matrix.GetLength(1)];
double[,] embedBit = new double[matrix.GetLength(0), matrix.GetLength(1)];
double[,] DCT = new double[matrix.GetLength(0), matrix.GetLength(1)];
Array.Copy(matrix, original, matrix.Length);
if (F1Array.GetLength(0) != F2Array.GetLength(0) || F1Array.GetLength(0) != CharByte.Length)
{
Console.WriteLine("F1Array F2Array та CharByte мають бути однакової довжини!!!");
Console.ReadLine();
return;
}
Console.WriteLine("\n massage");
WriteArrayToConsole(CharByte);
Console.WriteLine("\n original");
WriteArrayToConsole(matrix);
CosineTransform.DCT(matrix);
Console.WriteLine("\n DCT");
WriteArrayToConsole(matrix);
Array.Copy(matrix, DCT, DCT.Length);
/*
* for (int i = 0; i < CharByte.Length; i++)
* {
* matrix = Koha_Zhao.dkp_bit_embed(matrix, CharByte[i], F1Array[i,0], F1Array[i, 1], F2Array[i, 0], F2Array[i, 1], P);
* }*/
matrix = Koha_Zhao.dkp_bit_embed(matrix, CharByte[0], 5, 4, 4, 5, P);
Console.WriteLine("\n embed bit");
WriteArrayToConsole(matrix);
Array.Copy(matrix, embedBit, embedBit.Length);
CosineTransform.IDCT(matrix);
Console.WriteLine("\n IDCT");
WriteArrayToConsole(matrix);
Console.WriteLine("\n AverageAbsoluteDifference");
Console.WriteLine(Statistics.AverageAbsoluteDifference(original, matrix));
Console.WriteLine("\n MeanSquareError");
Console.WriteLine(Statistics.MeanSquareError(original, matrix));
Console.WriteLine("\n SignalToNoiseRatio");
Console.WriteLine(Statistics.SignalToNoiseRatio(original, matrix));
Console.WriteLine("\n ImageFidelity");
Console.WriteLine(Statistics.ImageFidelity(original, matrix));
Console.WriteLine("\n NormalizedCrossCorrelation");
Console.WriteLine(Statistics.NormalizedCrossCorrelation(original, matrix));
Console.WriteLine("\n CorrelationQuality");
Console.WriteLine(Statistics.CorrelationQuality(original, matrix));
Console.WriteLine("\n StructuralContent");
Console.WriteLine(Statistics.StructuralContent(original, matrix));
string data = FillInTheVariable(CharByte, original, DCT, embedBit, matrix, Statistics.AverageAbsoluteDifference(original, matrix), Statistics.MeanSquareError(original, matrix), Statistics.SignalToNoiseRatio(original, matrix), Statistics.ImageFidelity(original, matrix), Statistics.NormalizedCrossCorrelation(original, matrix), Statistics.CorrelationQuality(original, matrix), Statistics.StructuralContent(original, matrix), P);
// создаем каталог для файла
string path = @"C:\DCT";
DirectoryInfo dirInfo = new DirectoryInfo(path);
if (!dirInfo.Exists)
{
dirInfo.Create();
}
SaveFile(@"C:\DCT\lab6.txt", data);
Console.Read();
}
private WatermarkResult RetrieveWatermark(double[,] data)
{
var origWidth = data.GetUpperBound(0) + 1;
var origHeight = data.GetUpperBound(1) + 1;
if (DiffWidth - origWidth > 0 || DiffHeight - origHeight > 0)
{
var top = (DiffHeight - origHeight) / 2;
var left = (DiffWidth - origWidth) / 2;
var bottom = (DiffHeight - origHeight) - top;
var right = (DiffWidth - origWidth) - left;
data = data.Pad(left, top, right, bottom);
}
double[,] recoveredWatermarkData = new double[_watermarkPixels.Width, _watermarkPixels.Height];
ParallelHaar.FWT(data, 2);
var subband = LL2(data);
var width = subband.GetUpperBound(0) + 1;
var height = subband.GetUpperBound(1) + 1;
Parallel.For(0, _watermarkPixels.Height, y =>
{
for (int x = 0; x < _watermarkPixels.Width; x++)
{
if (x * BlockSize + BlockSize > width)
{
return;
}
if (y * BlockSize + BlockSize > height)
{
return;
}
var block = subband.Submatrix(x * BlockSize, x * BlockSize + BlockSize - 1, y * BlockSize, y * BlockSize + BlockSize - 1);
CosineTransform.DCT(block);
recoveredWatermarkData[x, y] = (MidBand(block).Sum() > 0) ? 255 : 0;
}
});
double similiar = 0;
double total = (width / 4) * (height / 4);
for (int x = 0; x < _watermarkPixels.Width; x++)
{
for (int y = 0; y < _watermarkPixels.Height; y++)
{
var oldValue = _watermarkPixels.R[x, y] > 125 ? 255 : 0;
if (recoveredWatermarkData[x, y] == oldValue)
{
similiar++;
}
}
}
var similarity = Math.Round((similiar / total) * 100);
var recoveredData = new RgbData(recoveredWatermarkData);
var recoveredWatermarkBytes = _imageHelper.SavePixels(recoveredData);
return(new WatermarkResult(similarity, recoveredWatermarkBytes));
}
public static Complex[] Transform(Complex[] functionPoints, string transformate)
{
var copyofFunctionsPoints = functionPoints;
var copyofFunctionsPoints2 = new Complex[functionPoints.Length];
var multidimensialArray = new double[functionPoints.Length, 2];
var jaggedArray = new double[functionPoints.Length][];
for (var i = 0; i < functionPoints.Length; i++)
{
jaggedArray[i] = new double[2];
}
for (var i = 0; i < functionPoints.Length; i++)
{
jaggedArray[i][0] = multidimensialArray[i, 0] = functionPoints[i].Real;
jaggedArray[i][1] =
multidimensialArray[i, 1] = functionPoints[i].Imaginary;
copyofFunctionsPoints2[i] = new Complex(functionPoints[i].Real,
copyofFunctionsPoints2[i].Imaginary);
}
switch (transformate)
{
case "FFT":
Fourier.Forward(copyofFunctionsPoints);
break;
case "IFFT":
Fourier.Inverse(copyofFunctionsPoints);
break;
case "DST":
SineTransform.DST(jaggedArray);
copyofFunctionsPoints = jaggedToComplex(jaggedArray);
break;
case "IDST":
SineTransform.IDST(jaggedArray);
copyofFunctionsPoints = jaggedToComplex(jaggedArray);
break;
case "DCT":
CosineTransform.DCT(multidimensialArray);
copyofFunctionsPoints = multidimensialToComplex(multidimensialArray);
break;
case "IDCT":
CosineTransform.IDCT(multidimensialArray);
copyofFunctionsPoints = multidimensialToComplex(multidimensialArray);
break;
case "DHT":
HartleyTransform.DHT(multidimensialArray);
copyofFunctionsPoints = multidimensialToComplex(multidimensialArray);
break;
case "FHT":
HilbertTransform.FHT(copyofFunctionsPoints2,
FourierTransform.Direction.Forward);
copyofFunctionsPoints = copyofFunctionsPoints2;
break;
case "IFHT":
HilbertTransform.FHT(copyofFunctionsPoints2,
FourierTransform.Direction.Backward);
copyofFunctionsPoints = copyofFunctionsPoints2;
break;
default:
throw new ArgumentException("Unknown transformation!");
}
return(copyofFunctionsPoints); //athenia programuje//dididididi//di/kocham PaciA// JJKAKAKK K
}
private void MergeAndCompress_btn_Click(object sender, EventArgs e)
{
System.Drawing.Image.GetThumbnailImageAbort myCallback = new System.Drawing.Image.GetThumbnailImageAbort(ThumbnailCallback);
Bitmap sceneBitmap = new Bitmap(SceneImage);
Bitmap spriteBitmap = new Bitmap(SpriteImage);
resultBitmap = sceneBitmap;
int scenemidwidth = sceneBitmap.Width / 2;
int scenemidtheight = sceneBitmap.Height / 2;
int Itstartx = scenemidwidth - (spriteBitmap.Width / 2);
int Itstarty = scenemidtheight - (spriteBitmap.Height / 2);
//textBox1.Text = Itstartx.ToString();
//textBox2.Text = Itstarty.ToString();
for (int y = 0; y < spriteBitmap.Height; y++)
{
for (int x = 0; x < spriteBitmap.Width; x++)
{
Color spritecolor = spriteBitmap.GetPixel(x, y);
if (spritecolor.G != 0)
{
resultBitmap.SetPixel(x + Itstartx, y + Itstarty, spritecolor);
}
}
}
MergedPreviewBox.Image = resultBitmap.GetThumbnailImage(MergedPreviewBox.Width, MergedPreviewBox.Height, myCallback, IntPtr.Zero);
//////////
///////////////MERGING DONE
////////////////////////////////////////////////////////////////////////////////////////////////////////////////
//////////
///////////////Start of Compression part
////////////////////////////////////////////////////////////////////////////////////////////////////////////////
//////////
///////////////Convert to YUV
////////////////////////////////////////////////////////////////////////////////////////////////////////////////
//////////
/////////////// add some pixels on both axis resulting multiple of 8
////////////////////////////////////////////////////////////////////////////////////////////////////////////////
int zeroExtensionsX = 8 - (resultBitmap.Width % 8);
int zeroExtensionsY = 8 - (resultBitmap.Height % 8);
MyOwnYcbcr = new myYcBc(resultBitmap.Width + zeroExtensionsX, resultBitmap.Height + zeroExtensionsY);
for (int y = 0; y < resultBitmap.Height; y++)
{
for (int x = 0; x < resultBitmap.Width; x++)
{
Color resultcolor = resultBitmap.GetPixel(x, y);
Yuv ycrcb = new Yuv();
RGB rgbcolor = new RGB(resultcolor);
ycrcb.Yf = YCbCr.FromRGB(rgbcolor).Y * 255;
//4:2:0 sampling
if (y % 2 == 0 && x % 2 == 0)
{
ycrcb.Uf = YCbCr.FromRGB(rgbcolor).Cr * 255;
ycrcb.Vf = YCbCr.FromRGB(rgbcolor).Cb * 255;
}
else
{
ycrcb.Uf = 0;
ycrcb.Vf = 0;
}
MyOwnYcbcr.ycbcrArr[x, y] = ycrcb;
}
}
//////////
/////////////// Normalize to -128 <-> 127 range
////////////////////////////////////////////////////////////////////////////////////////////////////////////////
for (int y = 0; y < MyOwnYcbcr.height; y++)
{
for (int x = 0; x < MyOwnYcbcr.width; x++)
{
Yuv ycColorspaceEdit = MyOwnYcbcr.ycbcrArr[x, y];
ycColorspaceEdit.Ynorm = (int)((ycColorspaceEdit.Yf) - 128);
if (y % 2 == 0 && x % 2 == 0)
{
ycColorspaceEdit.Unorm = (int)((ycColorspaceEdit.Uf) - 128);
ycColorspaceEdit.Vnorm = (int)((ycColorspaceEdit.Vf) - 128);
}
else
{
ycColorspaceEdit.Unorm = (int)(ycColorspaceEdit.Uf);
ycColorspaceEdit.Vnorm = (int)(ycColorspaceEdit.Vf);
}
MyOwnYcbcr.ycbcrArr[x, y] = ycColorspaceEdit;
}
}
//////////
/////////////// DCT matrix Creation
////////////////////////////////////////////////////////////////////////////////////////////////////////////////
//double[,]DCTmatrix;
//DCTmatrix = new double[8, 8];
//
//for (int i = 0; i < 8; i++)
//{
// for(int j = 0; j < 8; j++)
// {
// if(i == 0)
// {
// DCTmatrix[i,j] = 1 / Math.Sqrt(8);
// }
// else if(i > 0)
// {
// DCTmatrix[i, j] = Math.Sqrt( (2f/8f )) * Math.Cos((((2 * j) + 1) * i * Math.PI) / (2 * 8)) ;
// }
// }
//}
//////////
/////////////// DCT matrix Transposed
////////////////////////////////////////////////////////////////////////////////////////////////////////////////
//double[,] DCTmatrixTransposed;
//DCTmatrixTransposed = new double[8, 8];
//
//for (int i = 0; i < 8; i++)
//{
// for (int j = 0; j < 8; j++)
// {
// DCTmatrixTransposed[i, j] = DCTmatrix[j, i];
// }
//}
//////////
/////////////// 8 by 8 traversal and applying DCT to Merged picture
////////////////////////////////////////////////////////////////////////////////////////////////////////////////
//double[,] DCTresult;
//DCTresult = new double[8, 8];
double[,] YtempDCT = new double[8, 8];
double[,] UtempDCT = new double[8, 8];
double[,] VtempDCT = new double[8, 8];
for (int y = 0; y < MyOwnYcbcr.height; y += 8)
{
for (int x = 0; x < MyOwnYcbcr.width; x += 8)
{
if (x <= MyOwnYcbcr.width - 8 && y <= MyOwnYcbcr.height - 8) //safeguard against out of bounds error
{
for (int ity = y; ity < y + 8; ity++)
{
for (int itx = x; itx < x + 8; itx++)
{
YtempDCT[ity - y, itx - x] = MyOwnYcbcr.ycbcrArr[itx, ity].Ynorm;
UtempDCT[ity - y, itx - x] = MyOwnYcbcr.ycbcrArr[itx, ity].Unorm;
VtempDCT[ity - y, itx - x] = MyOwnYcbcr.ycbcrArr[itx, ity].Vnorm;
}
}
CosineTransform.DCT(YtempDCT);
CosineTransform.DCT(UtempDCT);
CosineTransform.DCT(VtempDCT);
for (int ity = y; ity < y + 8; ity++)
{
for (int itx = x; itx < x + 8; itx++)
{
MyOwnYcbcr.ycbcrArr[itx, ity].Ydct = YtempDCT[ity - y, itx - x];
MyOwnYcbcr.ycbcrArr[itx, ity].Udct = UtempDCT[ity - y, itx - x];
MyOwnYcbcr.ycbcrArr[itx, ity].Vdct = VtempDCT[ity - y, itx - x];
}
}
}
}
}
//default quality value of 50;
int[,] QuantMatrix;
QuantMatrix = new int[8, 8] {
{ 16, 11, 10, 16, 24, 40, 51, 61 },
{ 12, 12, 14, 19, 26, 58, 60, 55 },
{ 14, 13, 16, 24, 40, 57, 69, 56 },
{ 14, 17, 22, 29, 51, 87, 80, 62 },
{ 18, 22, 37, 56, 68, 109, 103, 77 },
{ 24, 35, 55, 64, 81, 104, 113, 92 },
{ 49, 64, 78, 87, 103, 121, 120, 101 },
{ 72, 92, 95, 98, 112, 100, 103, 99 },
};
// changing quality value
if (QuantizationQuality != 50)
{
for (int x = 0; x < 8; x++)
{
for (int y = 0; y < 8; y++)
{
if (QuantizationQuality > 50)
{
QuantMatrix[x, y] = (int)(QuantMatrix[x, y] * ((float)(100 - QuantizationQuality) / 50f));
if (QuantMatrix[x, y] > 255)
{
QuantMatrix[x, y] = 255;
}
if (QuantMatrix[x, y] == 0)
{
QuantMatrix[x, y] = 1;
}
}
else if (QuantizationQuality < 50)
{
QuantMatrix[x, y] = QuantMatrix[x, y] * (50 / QuantizationQuality);
if (QuantMatrix[x, y] > 255)
{
QuantMatrix[x, y] = 255;
}
else if (QuantMatrix[x, y] == 0)
{
QuantMatrix[x, y] = 1;
}
}
}
}
}
//////////
/////////////// 8 by 8 traversal and appyling Quantization
////////////////////////////////////////////////////////////////////////////////////////////////////////////////
for (int y = 0; y < MyOwnYcbcr.height; y += 8)
{
for (int x = 0; x < MyOwnYcbcr.width; x += 8)
{
for (int ity = y; ity < y + 8; ity++)
{
for (int itx = x; itx < x + 8; itx++)
{
if (itx < MyOwnYcbcr.width && ity < MyOwnYcbcr.height)
{
MyOwnYcbcr.ycbcrArr[itx, ity].Yquant = (int)Math.Round(MyOwnYcbcr.ycbcrArr[itx, ity].Ydct / QuantMatrix[itx - x, ity - y]);
MyOwnYcbcr.ycbcrArr[itx, ity].Uquant = (int)Math.Round(MyOwnYcbcr.ycbcrArr[itx, ity].Udct / QuantMatrix[itx - x, ity - y]);
MyOwnYcbcr.ycbcrArr[itx, ity].Vquant = (int)Math.Round(MyOwnYcbcr.ycbcrArr[itx, ity].Vdct / QuantMatrix[itx - x, ity - y]);
}
}
}
}
}
//////////
/////////////// 8 by 8 traversal and appyling ZIG ZAG
////////////////////////////////////////////////////////////////////////////////////////////////////////////////
for (int y = 0; y < MyOwnYcbcr.height; y += 8)
{
for (int x = 0; x < MyOwnYcbcr.width; x += 8)
{
if (x <= MyOwnYcbcr.width - 8 && y <= MyOwnYcbcr.height - 8) //safeguard against out of bounds error
{
int[,] YZbuffer = new int[8, 8];
int[,] UZbuffer = new int[8, 8];
int[,] VZbuffer = new int[8, 8];
// make a copy in buffer so that zigzag can copy it over to the original.
for (int buffery = y; buffery < y + 8; buffery++)
{
for (int bufferx = x; bufferx < x + 8; bufferx++)
{
YZbuffer[bufferx - x, buffery - y] = MyOwnYcbcr.ycbcrArr[bufferx, buffery].Yquant;
UZbuffer[bufferx - x, buffery - y] = MyOwnYcbcr.ycbcrArr[bufferx, buffery].Uquant;
VZbuffer[bufferx - x, buffery - y] = MyOwnYcbcr.ycbcrArr[bufferx, buffery].Vquant;
}
}
// copy zigzag wise from the buffer to the original
for (int ity = y; ity < y + 8; ity++)
{
for (int itx = x; itx < x + 8; itx++)
{
if (itx < MyOwnYcbcr.width && ity < MyOwnYcbcr.height)
{
Coords Targetcoords;
Targetcoords = ZZtraverseValue(itx - x, ity - y);
MyOwnYcbcr.zigzagY.Add(YZbuffer[Targetcoords.xvalue, Targetcoords.yvalue]);
MyOwnYcbcr.zigzagU.Add(UZbuffer[Targetcoords.xvalue, Targetcoords.yvalue]);
MyOwnYcbcr.zigzagV.Add(VZbuffer[Targetcoords.xvalue, Targetcoords.yvalue]);
}
}
}
}
}
}
Coords testcoords;
testcoords.xvalue = 920;
testcoords.yvalue = 0;
for (int y = testcoords.yvalue; y < testcoords.yvalue + 8; y++)
{
for (int x = testcoords.xvalue; x < testcoords.xvalue + 8; x++)
{
Matrixviewer.Rows[y - testcoords.yvalue].Cells[x - testcoords.xvalue].Value = MyOwnYcbcr.ycbcrArr[x, y].Yquant;
//Matrixviewer.Rows[x].Cells[y].Value = QuantMatrix[x, y];
//Matrixviewer.Rows[x].Cells[y].Value = testoutputmatrix[x, y];
}
}
Merged_width_txtbx.Text = MyOwnYcbcr.width.ToString();
Merged_height_txtbx.Text = MyOwnYcbcr.height.ToString();
textBox1.Text = MyOwnYcbcr.zigzagU.Count.ToString();
textBox2.Text = (MyOwnYcbcr.width * MyOwnYcbcr.height).ToString();
textBox3.Text = MyOwnYcbcr.zigzagV[7360].ToString();
//for (int y = 0; y < 8; y++)
//{
// for (int x = 0; x < 8; x++)
// {
// Matrixviewer.Rows[x].Cells[y].Value = testdata[x,y];
// //Matrixviewer.Rows[x].Cells[y].Value = QuantMatrix[x, y];
// //Matrixviewer.Rows[x].Cells[y].Value = testoutputmatrix[x, y];
// }
//}
//for (int x = 0; x < 8; x++)
//{
// for (int y = 0; y < 8; y++)
// {
// Matrixviewer.Rows[y].Cells[x].Value = MyOwnYcbcr.ycbcrArr[x, y].Y;
// }
//}
}