//----------------------------------
private void ButtonStart_Click(object sender, EventArgs e)
{
KSVD_Depth = System.Convert.ToInt32(cbDepth.Text);
int rib = (int)Math.Sqrt(CoefsN);
if (rib * rib < CoefsN)
{
rib = (int)Math.Sqrt(CoefsN) + 1;
}
Bitmap InputBitmap = (Bitmap)Bitmap.FromFile("Kawasaki_Valencia_2007_09_320x240.bmp");
Bitmap SparseDicBitmap = new Bitmap((N + 1) * rib, (N + 1) * rib, System.Drawing.Imaging.PixelFormat.Format24bppRgb);
PicImage.Image = Helper.scaler(InputBitmap, 2, InterpolationMode.NearestNeighbor);
PicCoefs.Image = Helper.scaler(SparseDicBitmap, 256, 256, InterpolationMode.NearestNeighbor);
int[,] memory = new int[InputBitmap.Width, InputBitmap.Height];
for (points A = new points(InputBitmap.Width, InputBitmap.Height); A.DoIt; A.Inc())
{
memory[A.x, A.y] = (int)(InputBitmap.GetPixel(A.x, A.y).GetBrightness() * 255.0);
}
Random rnd = new Random();
Matrix[] CopyDictionairy = Matrix.GetMatrixArrayRandom(N, CoefsN, rnd);
Matrix[] Dictionairy = Matrix.GetMatrixArrayRandom(N, CoefsN, rnd);
Matrix PatchOut;
Int32 index = 0;
Int32[] Cnt = new Int32[CoefsN];
for (int i = 0; i < CoefsN; i++)
{
Cnt[i] = 0;
}
double quant = System.Convert.ToInt32(cbQuant.Text);
for (int repeat = 0; repeat < 50; repeat++)
{
for (points A = new points(InputBitmap.Width / N, InputBitmap.Height / N); A.DoIt; A.Inc())
{
Matrix PatchIn = GetMemory(A, memory);
PatchOut = PatchIn.Average();
for (int p = 0; p < KSVD_Depth; p++)
{
Matrix Norm = PatchIn - PatchOut;
Matrix Atom = Matrix.MaxDot(Norm, CopyDictionairy, ref index);
double pickvalue = Math.Round(Matrix.Dot(PatchIn - PatchOut, Atom) / quant) * quant;
PatchOut += (pickvalue * Atom);
//FeedBack
Norm.Normalize();
Dictionairy[index] = Dictionairy[index] + pickvalue * Norm;
Cnt[index] += 1;
}
DrawPatch(A, InputBitmap, PatchOut);
}
PicImage.Image = Helper.scaler(InputBitmap, 4, InterpolationMode.NearestNeighbor);
PicImage.Refresh();
for (int i = 0; i < CopyDictionairy.Length; i++)
{
if (Cnt[i] > 2)
{
Dictionairy[i].Normalize();
CopyDictionairy[i].CopyFrom(Dictionairy[i]);
}
else
{
Dictionairy[i].FillRnd(rnd, memory);
Dictionairy[i].Normalize();
CopyDictionairy[i].CopyFrom(Dictionairy[i]);
}
}
DrawCoefs(SparseDicBitmap, CopyDictionairy, rib, CoefsN);
}
}
private void button1_Click(object sender, EventArgs e)
{
int rib = (int)Math.Sqrt(KSVD_Depth);
if (rib * rib < KSVD_Depth)
{
rib = (int)Math.Sqrt(KSVD_Depth) + 1;
}
Bitmap InputBitmap = (Bitmap)Bitmap.FromFile("Kawasaki_Valencia_2007_09_320x240.bmp");
Bitmap SparseDicBitmap = new Bitmap((N + 1) * rib, (N + 1) * rib, System.Drawing.Imaging.PixelFormat.Format24bppRgb);
int[,] memory = new int[InputBitmap.Width, InputBitmap.Height];
for (points A = new points(InputBitmap.Width, InputBitmap.Height); A.DoIt; A.Inc())
{
memory[A.x, A.y] = (int)(InputBitmap.GetPixel(A.x, A.y).GetBrightness() * 255.0);
}
Matrix[] Dictionairy = new Matrix[N * N];
Matrix PatchOut = new Matrix(N, 0);
double[,] pixels = new double[InputBitmap.Width, InputBitmap.Height];
for (int i = 0; i < N * N; i++)
{
Dictionairy[i] = new Matrix(N, 0);
}
for (int p = 0; p < KSVD_Depth; p++)
{
Dictionairy[p].Fill(0);
for (points A = new points(InputBitmap.Width / N, InputBitmap.Height / N); A.DoIt; A.Inc())
{
Matrix PatchIn = GetMemory(A, memory);
if (p == 0)
{
PatchOut = PatchIn.Average();
setPatch(A, pixels, PatchOut);
}
else
{
getpatch(A, pixels, ref PatchOut);
PatchOut += (Matrix.Dot(PatchIn - PatchOut, Dictionairy[p - 1]) * Dictionairy[p - 1]);
setPatch(A, pixels, PatchOut);
}
Matrix d = (PatchIn - PatchOut);
d.Normalize();
Dictionairy[p] = Dictionairy[p] + Matrix.Sign(d, Dictionairy[p]);
DrawPatch(A, InputBitmap, PatchOut);
}
PicImage.Image = Helper.scaler(InputBitmap, 4, InterpolationMode.NearestNeighbor);
PicImage.Refresh();
Dictionairy[p].Normalize();
}
DrawCoefs(SparseDicBitmap, Dictionairy, rib, KSVD_Depth);
}
