private void aula2ToolStripMenuItem_Click(object sender, EventArgs e)
{
if (img == null)
{
return;
}
//copy Undo Image
imgUndo = img.Copy();
Image <Gray, float> matrix = ImageClass.GetQuantificationMatrix(true, 100);
Image <Ycc, float> blockYCC;
//TableForm.ShowTableStatic(matrix,"Matriz de Quantificacao");
Image <Ycc, float> imgYCC = img.Convert <Ycc, float>(); //Transformar o espaço de cor RGB para YCbCr
// TODO subsampling
//Para cada bloco de 8x8 pixéis, fazer: (Copy(new rectangle(...) ) )
int Yblocks = (int)Math.Ceiling(img.Height / 8.0);
int Xblocks = (int)Math.Ceiling(img.Width / 8.0);
for (int x = 0; x < Xblocks; x++)
{
for (int y = 0; y < Yblocks; y++)
{
Image <Gray, float> y1 = imgYCC[0].Copy(new Rectangle(x * 8, y * 8, 8, 8));
Image <Gray, float> Cr = imgYCC[1].Copy(new Rectangle(x * 8, y * 8, 8, 8));
Image <Gray, float> Cb = imgYCC[2].Copy(new Rectangle(x * 8, y * 8, 8, 8));
CvInvoke.cvDCT(y1, y1, CV_DCT_TYPE.CV_DXT_FORWARD);//cálculo da transformada de cossenos DCT
CvInvoke.cvDCT(Cb, Cb, CV_DCT_TYPE.CV_DXT_FORWARD);
CvInvoke.cvDCT(Cr, Cr, CV_DCT_TYPE.CV_DXT_FORWARD);
CvInvoke.cvDiv(y1, matrix, y1, 1); // quantificação dos coeficientes
CvInvoke.cvDiv(Cb, matrix, Cb, 1);
CvInvoke.cvDiv(Cr, matrix, Cr, 1);
ImageClass.myRound(y1); //arredondamento dos coeficientes
ImageClass.myRound(Cb);
ImageClass.myRound(Cr);
// DESCOMPRESSÃO
CvInvoke.cvMul(y1, matrix, y1, 1); // recuperação dos coeficientes (Mul)
CvInvoke.cvMul(Cb, matrix, Cb, 1);
CvInvoke.cvMul(Cr, matrix, Cr, 1);
CvInvoke.cvDCT(y1, y1, CV_DCT_TYPE.CV_DXT_INVERSE);//cálculo da transformada inversa de cossenos iDCT (
CvInvoke.cvDCT(Cb, Cb, CV_DCT_TYPE.CV_DXT_INVERSE);
CvInvoke.cvDCT(Cr, Cr, CV_DCT_TYPE.CV_DXT_INVERSE);
imgYCC.ROI = new Rectangle(x * 8, y * 8, 8, 8);
blockYCC = new Image <Ycc, float>(8, 8);
CvInvoke.cvMerge(y1, Cr, Cb, IntPtr.Zero, blockYCC);
blockYCC.CopyTo(imgYCC);
imgYCC.ROI = Rectangle.Empty;
}
}
Image <Bgr, byte> imgfinal = imgYCC.Convert <Bgr, float>().Convert <Bgr, byte>();
ShowIMG.ShowIMGStatic(img, imgfinal);
}
