Efficient Reconstruction of Super-Resolution Images using an Improved Orthogonal Matching Pursuit Algorithm

被引：0

作者：

Yu, Xiaofei ^{[1
]}

Zheng, Gaoting ^{[1
]}

Wang, Baixiang ^{[1
]}

机构：

[1] Zhejiang Univ, Inst Elect Circuit & Informat Syst, Hangzhou 310027, Zhejiang, Peoples R China

来源：

2015 IEEE INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, COMMUNICATIONS AND COMPUTING (ICSPCC) | 2015年

关键词：

super-resolution; compressed sensing; improved OMP; coherence; fast indexing; UNCERTAINTY PRINCIPLES;

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 presents an improved reconstruction algorithm of super-resolution images using the compressed sensing theory. In particular, Gaussian low-pass filters are proposed to reduce the coherence between the observation matrix and transform matrix for signal representation such that the problem of super-resolution can be formulated as a proper CS reconstruction problem. Experimental results have shown that the proposed algorithm can reduce the computational cost for super-resolution reconstruction from a single image without loss of subjective visual quality.

引用

页码：328 / 331

页数：4

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