The study of CS frames’s second correlation rule of distributed video compression coding

Distributed video coding is a new video coding system. It has a simpler coding and more complex decoding compared with the traditional video coding system. In addition, the compressed sensing breaks the Nyquist sampling theorem reducing the sampling rate of the signal. Combining the compressed sensing theory and distributed video coding reduce the complexity of the coding. In some study of the distributed compressed video coding, the CS frames are reconstructed with the help of the side information. Due to the different accuracy estimation of the CS frames, the reconstructed CS frames have different quality. This paper studies the criteria of secondary correction of CS frames to solve this problem. Firstly, this paper study the feasibility of the variance criteria and proof it in experiences. The Experiment shows that the variance criteria improves the reconstructed quality of CS frames.