Can someone please confirm if this is indeed the correct way to compute DWT: load image load Haar wavelet for i = 1: Level periodize edges of image convolve image with Low pass Haar wavelet filter and store result in G convolve image with Low pass Haar wavelet filter and store result in H convolve G with low pass Haar to calculate approximation co-eff convolve G with high pass Haar to calculate horizontal co-eff convolve H with low pass Haar to calculate vertical co-eff convolve H with high pass Haar to calculate diagonal co-eff i = i + 1 downsample approximation by 2 end In case of SWT, instead of down-sampling the approximation, Haar filter co-efficients are up-sampled twice at each level and the same process is repeated. Am I correct here?
Correct way to implement Discrete and Stationary Wavelet Transform?
Started by ●August 10, 2014