Compressed sensing method for adaptive multi-scale block size of image

The invention relates to the technical field of image processing, and aims to solve the problems that in an existing image compressed sensing mode, the influence of image complex texture distribution on image compressed sensing reconstruction is not fully considered, so that the sparsity of an image cannot be fully utilized, and the calculated amount is increased due to too many blocks. The invention belongs to the technical field of image processing, and particularly relates to an image self-adaptive multi-scale block size compressed sensing method, which is characterized in that an image is decomposed into wavelet domain images, and optimal compression methods and parameters are selected in a targeted manner according to the characteristics of different areas, so that the effect of fully utilizing different characteristics of textures and flat areas in the image is realized, and the image self-adaptive multi-scale block size compressed sensing method is realized. According to the image compression method an