Compressed sensing video transmission method and system based on dual sparse model decoding

The invention provides a compressed sensing video transmission method and system based on dual sparse model decoding. The compressed sensing video transmission method comprises encoding steps and decoding steps, wherein the encoding steps comprise a video frame image grouping step and a compressed encoding step; the decoding steps comprise a key frame reconstructing step, a side information generating step, a redundant dictionary constructing step, a non-key frame reconstructing step and a video frame image reconstructing step. The compressed sensing video transmission method and system have the benefits that the feature information of the video frame image is exploited more fully, so that the reconstruction quality of the non-key frame and the overall performance of the system are improved by a training set generated by the estimation information through reconstructing a novel dictionary and combining the GPSR (Gradient Pursuit for Sparse Reconstruction) algorithm.