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has been cited by the following article:

• TITLE: Design of the Quantization Matrix in the Distributed Compressed Sensing Video Coding*

  AUTHORS: Yueyue Dai, Xinhua Rui, Xuanyu Zhao

  KEYWORDS: Compressed Sensing, Distributed Video Coding, Gaussian Quantization Matrix

  JOURNAL NAME: Journal of Computer and Communications, Vol.4 No.5, May 26, 2016

  ABSTRACT: In the frame of compressed sensing distributed video coding, the design of the quantization matrix directly affects the reconstruction quality of the receiving terminal of the video. In this article, we present a new design method of the Gaussian quantization matrix adapting to the compressed sensing coding, for that the distribution of the parameters of the image is featured of the characteristic of approximately normal distribution after measured by compressive sensing. By this way, the parameters of a certain quantity of the image frames depending on the video sequences generated by the Gaussian quantization matrix possess certain adaptive capacity. By comparison with the plan of the traditional quantization, the quantization matrix presented in this article would improve the reconstruction quality of the video.