연구에 대하여
보다 나은 웹성능 향상을 위한 연구를 위해 머스트에서 오픈하는 커뮤니티 공간입니다.
제목공간영역에서의 영상처리
공간영역에서의 필터링 : http://lab.must.or.kr/Image-Restoration-and-Reconstruction.ashx
Arithmetic mean filter
Gaussian Noise
Salt-and-Pepper Noise
Gaussian Noise & Salt-and-Pepper Noise
Code
public override Bitmap Process(Bitmap input) { if (input.PixelFormat != PixelFormat.Format8bppIndexed) throw new NotSupportedException(); Bitmap output = (Bitmap)input.Clone(); int rm = M / 2; int rn = N / 2; int width = output.Width; int height = output.Height; int mn = M * N; BitmapData inputData = input.LockBits(new Rectangle(0, 0, width, height), ImageLockMode.ReadWrite, PixelFormat.Format8bppIndexed); BitmapData outputData = output.LockBits(new Rectangle(0, 0, width, height), ImageLockMode.ReadWrite, PixelFormat.Format8bppIndexed); unsafe { byte* inputPtr = (byte*)inputData.Scan0.ToPointer(); byte* outputPtr = (byte*)outputData.Scan0.ToPointer(); for (int i = 0; i < width * height; i++) { int x = i % width; int y = i / width; if (x >= rm && y >= rn && x < width - rm && y < height - rn) { int sum = 0; for (int tx = -rm; tx <= rm; tx++) for (int ty = -rn; ty <= rn; ty++) { sum += inputPtr[i + tx + ty * width]; } outputPtr[i] = (byte)(sum / mn); } } } output.UnlockBits(outputData); input.UnlockBits(inputData); return output; }
Median filter
Gaussian Noise
Salt-and-Pepper Noise
Gaussian Noise & Salt-and-Pepper Noise
Code
public override Bitmap Process(Bitmap input) { if (input.PixelFormat != PixelFormat.Format8bppIndexed) throw new NotSupportedException(); Bitmap output = (Bitmap)input.Clone(); int rm = M / 2; int rn = N / 2; int width = output.Width; int height = output.Height; int mn = M * N; BitmapData inputData = input.LockBits(new Rectangle(0, 0, width, height), ImageLockMode.ReadWrite, PixelFormat.Format8bppIndexed); BitmapData outputData = output.LockBits(new Rectangle(0, 0, width, height), ImageLockMode.ReadWrite, PixelFormat.Format8bppIndexed); unsafe { byte* inputPtr = (byte*)inputData.Scan0.ToPointer(); byte* outputPtr = (byte*)outputData.Scan0.ToPointer(); for (int i = 0; i < width * height; i++) { int x = i % width; int y = i / width; if (x >= rm && y >= rn && x < width - rm && y < height - rn) { List<byte> sequence = new List<byte>(mn); for (int tx = -rm; tx <= rm; tx++) for (int ty = -rn; ty <= rn; ty++) { sequence.Add(inputPtr[i + tx + ty * width]); } sequence.Sort(); outputPtr[i] = sequence[mn / 2]; } } } output.UnlockBits(outputData); input.UnlockBits(inputData); return output; }
Adaptive, local noise reduction filter
Gaussian Noise
Salt-and-Pepper Noise
Gaussian Noise & Salt-and-Pepper Noise
Code
public override Bitmap Process(Bitmap input) { if (input.PixelFormat != PixelFormat.Format8bppIndexed) throw new NotSupportedException(); Bitmap output = (Bitmap)input.Clone(); int rm = M / 2; int rn = N / 2; int width = output.Width; int height = output.Height; int mn = M * N; BitmapData inputData = input.LockBits(new Rectangle(0, 0, width, height), ImageLockMode.ReadWrite, PixelFormat.Format8bppIndexed); BitmapData outputData = output.LockBits(new Rectangle(0, 0, width, height), ImageLockMode.ReadWrite, PixelFormat.Format8bppIndexed); unsafe { byte* inputPtr = (byte*)inputData.Scan0.ToPointer(); byte* outputPtr = (byte*)outputData.Scan0.ToPointer(); for (int i = 0; i < width * height; i++) { int x = i % width; int y = i / width; if (x >= rm && y >= rn && x < width - rm && y < height - rn) { double mL = 0; // mean List<byte> sequence = new List<byte>(mn); for (int tx = -rm; tx <= rm; tx++) for (int ty = -rn; ty <= rn; ty++) { sequence.Add(inputPtr[i + tx + ty * width]); mL += inputPtr[i + tx + ty * width]; } mL /= mn; double σL2 = 0; foreach (byte pixel in sequence) { σL2 += Math.Pow(mL - pixel, 2); } σL2 /= mn; double gxy = inputPtr[i]; outputPtr[i] = (byte)(gxy - Math.Min(1.0, _ση2 / σL2) * (gxy - mL)); } } } output.UnlockBits(outputData); input.UnlockBits(inputData); return output; }
Adaptive median filter
Gaussian Noise
Salt-and-Pepper Noise
Gaussian Noise & Salt-and-Pepper Noise
Code
public Bitmap Process(Bitmap input) { if (input.PixelFormat != PixelFormat.Format8bppIndexed) throw new NotSupportedException(); Bitmap output = (Bitmap)input.Clone(); int width = output.Width; int height = output.Height; int scurr = 3; int smax_local = 3; BitmapData inputData = input.LockBits(new Rectangle(0, 0, width, height), ImageLockMode.ReadWrite, PixelFormat.Format8bppIndexed); BitmapData outputData = output.LockBits(new Rectangle(0, 0, width, height), ImageLockMode.ReadWrite, PixelFormat.Format8bppIndexed); unsafe { byte* inputPtr = (byte*)inputData.Scan0.ToPointer(); byte* outputPtr = (byte*)outputData.Scan0.ToPointer(); for (int i = 0; i < width * height; i++) { int x = i % width; int y = i / width; if (x >= 1 && y >= 1 && x < width - 1 && y < height - 1) // minimum 3x3 area { scurr = 3; // if we are close to border, we cannot go beyond it smax_local = Math.Min(x * 2 + 1, Smax); smax_local = Math.Min(y * 2 + 1, smax_local); smax_local = Math.Min((width - 1 - x) * 2 + 1, smax_local); smax_local = Math.Min((height - 1 - y) * 2 + 1, smax_local); do { int rm = scurr / 2; int rn = scurr / 2; int mn = scurr * scurr; List<byte> sequence = new List<byte>(mn); for (int tx = -rm; tx <= rm; tx++) for (int ty = -rn; ty <= rn; ty++) { sequence.Add(inputPtr[i + tx + ty * width]); } sequence.Sort(); byte zmin = sequence[0]; byte zmax = sequence[mn - 1]; byte zmed = sequence[mn / 2]; byte zxy = inputPtr[i]; int A1 = zmed - zmin; int A2 = zmed - zmax; if (A1 > 0 && A2 < 0) { int B1 = zxy - zmin; int B2 = zxy - zmax; if (B1 > 0 && B2 < 0) { outputPtr[i] = zxy; break; } else { outputPtr[i] = zmed; break; } } else { scurr += 2; if (scurr > smax_local) { outputPtr[i] = zmed; break; } } } while (true); } } } output.UnlockBits(outputData); input.UnlockBits(inputData); return output; }