计算机工程与应用2018，Vol.54Issue(9)：172-177,250,7.DOI:10.3778/j.issn.1002-8331.1612-0262
压缩视频感知中量化器的研究与设计
Research and design of quantizer in compressed video sensing
摘要
Abstract
Compressed Video Sensing(CVS)is a video encoding method, which combines Compressed Sensing(CS) with Distributed Video Coding(DVC). It is also called Distributed Video Compressed Sensing. In CVS, each frame of video is subjected to block partitioning,compression sampling,and then DPCM is performed on the data.Finally,quanti-zation is performed using uniform or non-uniform quantization.At present,the design of the CVS quantizer is mostly designed on the premise that the sampled data or residual data obey the Gaussian distribution.This paper analyzes the distribution features of the data after image block division, compressed sampling, and DPCM by Kolmogorov-Smirnov test.On the basis of those analysis,Lloyd's optimal quantizer design criteria is used in the proposed quantizer.Experimental results show that proposed quantizer has reduced about 14.2% in BD-Rate and improved about 0.11 dB in BDPSNR compared to the traditional quantizing method,improves the compression efficiency and reconstruction quality of CVS.关键词
压缩感知/最佳量化/压缩视频感知/差分脉码调制Key words
compressed sensing/optimal quantizer/Compressed Video Sensing(CVS)/Differential Pulse Code Modulation (DPCM)分类
信息技术与安全科学引用本文复制引用
郑成,王国中,范涛,赵海武..压缩视频感知中量化器的研究与设计[J].计算机工程与应用,2018,54(9):172-177,250,7.基金项目
国家自然科学基金(No.61271212) （No.61271212）
国家高技术研究发展计划(863)(No.2015AA015903). （863）
