Compressed sensing video images recursive reconstruction algorithm based on local autoregressive model

The approaches combining the prediction and residual compensation can be used to reconstruct the compressed sensing video images recursively. In order to improve the precision of the existing prediction schemes, this paper proposes an image prediction algorithm based on the local autoregressive model. Before that, this paper firstly analyses the similarity of local image patches in consecutive images based on the content similarity of two consecutive images and the non-local similarity of each single image, and then takes this similarity as the correlation prior information to estimate the autoregressive parameters of current image. Compared to the existing related algorithms, the recursive reconstruction algorithm exploiting the proposed prediction scheme can achieve higher video images reconstruction performance.