The application discloses an
image compression sensing method and device based on multi-stage
information transmission enhancement. Firstly, an image is divided into blocks, then the image blocks are decomposed into low-frequency subbands and high-frequency subbands by using a
discrete wavelet transform, and are pulled into vectors; next, sampling is performed according to the characteristics of different subbands, a linear inverse problem is solved by using an approximate
message passing algorithm, then a reconstruction model is established by combining the prior of a
wavelet tree structure and the prior of multi-stage information, and the model is expanded into a neural network; therefore, the transmission and compensation capabilities of information can be improved, the quality of current
recovery is effectively improved by extracting valuable features from each stage in the past, the representation capability of the network is greatly improved, and the
information loss in different stages is minimized.