Image Super-Resolution Via Analysis Sparse Prior

被引：24

作者：

Ning, Qiang ^{[1
]}

Chen, Kan ^{[1
]}

Yi, Li ^{[1
]}

Fan, Chuchu ^{[2
]}

Lu, Yao ^{[1
]}

Wen, Jiangtao ^{[3
]}

机构：

[1] Tsinghua Univ, Dept Elect Engn, Beijing 100084, Peoples R China

[2] Tsinghua Univ, Dept Automat, Beijing 100084, Peoples R China

[3] Tsinghua Univ, Dept Comp Sci, Beijing 100084, Peoples R China

来源：

IEEE SIGNAL PROCESSING LETTERS | 2013年 / 20卷 / 04期

关键词：

Analysis sparsity; image super-resolution; neighbor compatibility; variance prediction;

D O I：

10.1109/LSP.2013.2242198

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：

In this letter, we present a new algorithm for a single image super-resolution using the analysis sparse prior in the l alpha beta color space. Experimental results show that our algorithm outperforms other existing state-of-the-art methods. In addition, due to the high scalability of our algorithm, key modules of the proposed algorithm can be integrated with other super resolution algorithms.

引用

页码：399 / 402

页数：4

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