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基于CS的灰度图像压缩
引用本文:张习民,卓东风,刘国洋,李秋果. 基于CS的灰度图像压缩[J]. 河南教育学院学报(自然科学版), 2011, 0(3): 37-39
作者姓名:张习民  卓东风  刘国洋  李秋果
作者单位:河南教育学院物理系;太原科技大学电子信息工程学院;
基金项目:河南省教育厅自然科学研究计划项目(2009B510007)
摘    要:采用较新的压缩感知理论,通过Harr正交稀疏变换和伯务利采样矩阵,实现了对灰度图像的低速压缩采样,并利用正交匹配追踪算法实现压缩数据的恢复.实验结果表明,此算法能较好地实现图像的感知压缩.

关 键 词:Harr小波  压缩感知  稀疏  非自适应  正交匹配追踪

Gray Image Compression Based on CS
ZHANG Xi-min,,ZHUO Dong-Feng,LIU Guo-yang,LI Qiu-guo. Gray Image Compression Based on CS[J]. Journal of Henan Education Institute(Natural Science Edition), 2011, 0(3): 37-39
Authors:ZHANG Xi-min    ZHUO Dong-Feng  LIU Guo-yang  LI Qiu-guo
Affiliation:ZHANG Xi-min1,2,ZHUO Dong-Feng2,LIU Guo-yang2,LI Qiu-guo2(1.Department of Physics,Henan Institute of Education,Zhengzhou 450046,China,2.School of Electronic Information Engineering,Taiyuan University of Science and Technology,Taiyuan 030024,China)
Abstract:By new theory of compression sensing,realizes compressing gray image at a lower sampling rate through Harr sparse orthogonal transformation and Bonuli observation matrix,and restores compressed data by algorithm of orthogonal match pursuit.The experiments show that this method realizes compression sensing quite well.
Keywords:Harr wavelet  compression sensing  sparse  non-adaptive  orthogonal match pursuit  
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