计算机应用研究2013，Vol.30Issue(6)：1889-1891,1898,4.DOI:10.3969/j.issn.1001-3695.2013.06.076
Contourlet域方向子带稀疏表示的图像压缩感知
Image compressed sensing based on sparse representation using Contourlet directional subbands
摘要
Abstract
To improve image sparse representation in compressed sensing,this paper proposed a new compressed sensing algorithm based on sparse representation using Contourlet directional subbands.Firstly,it decomposed images by Contourlet transform,and restructured directional subbands according to orthogonality,and then it used Gaussian random matrices to measure subbands and used orthogonal matching pursuit (OMP) algorithm to recover the subbands coefficients.Finally,it applied inverse Contourlet transform to reconstruct images.The experiments show that the proposed algorithm has better improvement in image visual effect and peak signal-to-noise ratio (PSNR).关键词
压缩感知/Contourlet变换/稀疏表示/方向子带/图像重构Key words
compressed sensing/ Contourlet transform/ sparse representation / directional subbands / image reconstruction分类
信息技术与安全科学引用本文复制引用
倪雪,王华力,陈亮,王金明..Contourlet域方向子带稀疏表示的图像压缩感知[J].计算机应用研究,2013,30(6):1889-1891,1898,4.基金项目
国家自然科学基金资助项目(61072042,61271354) （61072042,61271354）
