High-performance decoding method based on double sparse dictionary in DCVS system

To improve the quality of video frame image-reconstruction in the distributed compressive video sen-sing(DCVS)system,the continuous real-time video transmission is used as scenarios,an decoding algorithm based on the double sparse dictionary is proposed.Side information(SI)is generated by the adjacent keyframe.Separate sub-bands with different scales of the sample images under wavelet domain,then use the KSVD algorithm to get different redundant dictionaries with multi-scale properties.Finally,these dictionaries and gradient pursuit for sparse reconstruction(GPSR)algorithm are combined to reconstruct the non-key frames.Simulation results show that at the same compression ratio,the peak signal to noise ratio(PSNR)of the proposed method can obtain more than 0.5~1.5dB gain than traditional methods.