Description: Compressed sensing CS- using wavelet transform as sparse representation, Gaussian random matrix as the observation matrix and ROMP algorithm as the reconstruction algorithm. Compare lena figure and the reconstruction results using ROMP algorithm at different sampling ratio (0.74,0.50.3),then each runs 50 times, compare the performance of PSNR and each running time
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File list (Check if you may need any files):
Wavelet_ROMP\DWT.m
............\isIn.m
............\lena.bmp
............\romp.m
............\Wavelet_ROMP.m
Wavelet_ROMP