电子学报Issue(8)：1506-1514,9.DOI:10.3969/j.issn.0372-2112.2013.08.009
利用纹理信息的图像分块自适应压缩感知
Block-Based Adaptive Compressed Sensing of Image Using Texture Information
摘要
Abstract
Different from 1D signals ,2D images have obvious texture information .Based on the basic framework of block-based compressed sensing ,we propose a block-based adaptive compressed sensing of image using texture information ,which exploits the property that different texture would produce varied information content .The adaptability lies in two aspects:one is the adaptive sampling and another is the adaptive threshold .Two different filters are introduced ,which forms two kinds of new algorithms ,re-spectively .The proposed algorithms are applied to nature and medical test images .The results show that our improved algorithms provide superior performance on both the reconstructed image quality and the visual effect .关键词
分块压缩感知/纹理信息/自适应采样/自适应阈值/滤波器Key words
block-based compressed sensing/texture information/adaptive sampling/adaptive threshold/filter分类
信息技术与安全科学引用本文复制引用
王蓉芳,焦李成,刘芳,杨淑媛..利用纹理信息的图像分块自适应压缩感知[J].电子学报,2013,(8):1506-1514,9.基金项目
国家自然科学基金（No ．61173090，No ．61072106，No ．61072108）；高等学校学科创新引智计划（111计划）（No ．B07048）；教育部”长江学者和创新团队发展计划” （）
