The invention relates to the technical field of
image processing, in particular to a compression imaging method and
system based on a Swin Transform network, and the method comprises the steps: carrying out the sampling
processing of training data through employing a CC
Hadamard matrix, obtaining a coding image, training a neural network based on the Swin Transform through employing the coding image, and obtaining an optimal compression reconstruction model; in the
system, the optimal compression reconstruction model is loaded into a
processing center, multiple low-resolution images collected by a
detector are preprocessed to obtain coded images, and then the optimal compression reconstruction model is utilized to obtain reconstructed images. Compared with a common sampling matrix, the
system and the method provided by the invention have the advantages that the reconstruction effect after sampling of the CC
Hadamard matrix is better, and the reconstruction quality of the image is effectively improved.