Block compressed sampling of image signals by saliency based adaptive partitioning
Zhou, Siwang1; Chen, Zhineng2; Zhong, Qian1; Li, Heng1
发表期刊MULTIMEDIA TOOLS AND APPLICATIONS
ISSN1380-7501
2019
卷号78期号:1页码:537-553
通讯作者Zhou, Siwang(swzhou@hnu.edu.cn)
摘要In recent years, block compressed sampling (BCS) has emerged as a considerable attractive sampling technology for image acquisition. However, the general BCS approaches ignore the information distribution in the same image sub-block, and may lead to unfair allocation of sampling resources. In this paper, we propose a novel compressed sampling scheme by employing the idea of adaptive partition. In the proposed scheme, images are adaptively partitioned based on their saliency information through clustering, and pixels with similar saliency are gathered in the same sub-blocks. Sampling rates for those blocks, in turn, are computed on the basis of their saliency values, respectively. Therefore the sampling resources are allocated with fairer and more equitable sharing by all sub-blocks. Experimental results show that the proposed scheme has better visual effect and obtains higher image reconstruction accuracy than existing ones.
关键词Compressed sampling Image Saliency Clustering
DOI10.1007/s11042-017-5249-x
关键词[WOS]RECOVERY ; MODEL
收录类别SCI
语种英语
资助项目CERNET Innovation Project of China[NGII20160323] ; CERNET Innovation Project of China[NGII20160323]
项目资助者CERNET Innovation Project of China
WOS研究方向Computer Science ; Engineering
WOS类目Computer Science, Information Systems ; Computer Science, Software Engineering ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS记录号WOS:000457317500030
出版者SPRINGER
引用统计
被引频次:16[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/25284
专题数字内容技术与服务研究中心_远程智能医疗
通讯作者Zhou, Siwang
作者单位1.Hunan Univ, Coll Comp Sci & Elect Engn, Changsha, Hunan, Peoples R China
2.Chinese Acad Sci, Inst Automat, Beijing, Peoples R China
推荐引用方式
GB/T 7714
Zhou, Siwang,Chen, Zhineng,Zhong, Qian,et al. Block compressed sampling of image signals by saliency based adaptive partitioning[J]. MULTIMEDIA TOOLS AND APPLICATIONS,2019,78(1):537-553.
APA Zhou, Siwang,Chen, Zhineng,Zhong, Qian,&Li, Heng.(2019).Block compressed sampling of image signals by saliency based adaptive partitioning.MULTIMEDIA TOOLS AND APPLICATIONS,78(1),537-553.
MLA Zhou, Siwang,et al."Block compressed sampling of image signals by saliency based adaptive partitioning".MULTIMEDIA TOOLS AND APPLICATIONS 78.1(2019):537-553.
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