/// <summary> /// Haar Wavelet Transform and Compress /// </summary> /// <param name="m">matrix (logSpectrogram)</param> /// <returns>matrix wavelet'ed</returns> public Matrix ApplyWaveletCompression(ref Matrix m, out int lastHeight, out int lastWidth) { using (new DebugTimer("ApplyWaveletCompression(matrix)")) { // Wavelet Transform Matrix wavelet = m.Copy(); WaveletCompress.HaarTransform2D(wavelet.MatrixData, numberWaveletTransforms, out lastHeight, out lastWidth); // Compress Matrix waveletCompressed = wavelet.Resize(numberCoefficients, wavelet.Columns); return(waveletCompressed); } }
public static Matrix GetWaveletTransformedMatrix(double[][] image, WaveletMethod waveletMethod) { int width = image[0].Length; int height = image.Length; Matrix dwtMatrix = null; Stopwatch stopWatch = Stopwatch.StartNew(); long startS = stopWatch.ElapsedTicks; switch (waveletMethod) { case WaveletMethod.Haar: Haar.Haar2D(image, height, width); dwtMatrix = new Matrix(image); break; case WaveletMethod.HaarTransformTensor: // This is using the tensor product layout dwtMatrix = WaveletUtils.HaarWaveletTransform2D(image); break; case WaveletMethod.HaarWaveletDecompositionTensor: // This is using the tensor product layout var haar = new StandardHaarWaveletDecomposition(); haar.DecomposeImageInPlace(image); dwtMatrix = new Matrix(image); break; case WaveletMethod.NonStandardHaarWaveletDecomposition: // JPEG 2000 var haarNonStandard = new NonStandardHaarWaveletDecomposition(); haarNonStandard.DecomposeImageInPlace(image); dwtMatrix = new Matrix(image); break; case WaveletMethod.HaarCSharp: ForwardWaveletTransform.Transform2D(image, false, 2); dwtMatrix = new Matrix(image); break; case WaveletMethod.HaarWaveletCompress: int lastHeight = 0; int lastWidth = 0; WaveletCompress.HaarTransform2D(image, 10000, out lastHeight, out lastWidth); dwtMatrix = new Matrix(image); break; default: break; } long endS = stopWatch.ElapsedTicks; Console.WriteLine("WaveletMethod: {0} Time in ticks: {1}", Enum.GetName(typeof(WaveletMethod), waveletMethod), (endS - startS)); // increase all values const int mul = 50; double[][] haarImageNormalized5k = dwtMatrix.MatrixData.Select(i => i.Select(j => j * mul).ToArray()).ToArray(); // convert to byte values (0 - 255) // duplicate the octave/ matlab method uint8 var uint8 = new double[haarImageNormalized5k.Length][]; for (int i = 0; i < haarImageNormalized5k.Length; i++) { uint8[i] = new double[haarImageNormalized5k.Length]; for (int j = 0; j < haarImageNormalized5k[i].Length; j++) { double v = haarImageNormalized5k[i][j]; if (v > 255) { uint8[i][j] = 255; } else if (v < 0) { uint8[i][j] = 0; } else { uint8[i][j] = (byte)haarImageNormalized5k[i][j]; } } } var uint8Matrix = new Matrix(uint8); return(uint8Matrix); }