Study of wavelet base and threshold policies impact on the image reconstruction quality based on compressed sensing

The compression sampling scheme is realized, in which sparseness processing is realized in this theme employing wavelet transform; standard pseudo-random number matrix of uniformly distributed sequences and two dimensional central Fourier transform are used for generating random measurement matrix, and algorithm of subsection orthogonal matching pursuit is used for sampling data reconstruction. Influence of wavelet basis and threshold strategy on quality of reconstructed image is researched and elaborate description of the experiment result is provided. The experiment data of this paper provides strong support to optimization of wavelet basis and strategy of threshold selection.