A Compressive Domain Saliency-based Adaptive Measurement Method for Image Recovery

被引：0
作者：
Li, Honggui [1 ]
Trocan, Maria [2 ]
Carmona-G, Ricardo [3 ]
Trevisi, Marco [3 ]
机构：
[1] Yangzhou Univ, Phys Coll, Yangzhou, Jiangsu, Peoples R China
[2] ISEP, LISITE, Paris, France
[3] Univ Seville, IMSE, CNM, CSIC, Seville, Spain
来源：
23RD IEEE INTERNATIONAL CONFERENCE ON ELECTRONICS CIRCUITS AND SYSTEMS (ICECS 2016) | 2016年
关键词：
saliency detection; compressive domain; adaptive measurement; compressed sensing;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper proposes an image compressed sensing method by adaptive measurement matrix based on saliency detection in the compressive domain. The saliency mapping algorithm is simply the difference between adjacent compressive measurements of neighboring image patches. The adjustment algorithm of subsampling rate is a multi - group approximation by sorting and clustering. It is verified by simulation experiments that the proposed method has higher reconstruction quality than the classical methods with fixed measurement matrices.
引用
收藏
页码：427 / 428
页数：2
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