DocumentCode :
23830
Title :
Image Super-Resolution Via Analysis Sparse Prior
Author :
Qiang Ning ; Kan Chen ; Li Yi ; Chuchu Fan ; Yao Lu ; Jiangtao Wen
Author_Institution :
Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
Volume :
20
Issue :
4
fYear :
2013
fDate :
Apr-13
Firstpage :
399
Lastpage :
402
Abstract :
In this letter, we present a new algorithm for a single image super-resolution using the analysis sparse prior in the lαβ 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.
Keywords :
image colour analysis; image reconstruction; image resolution; analysis sparse prior; lαβ color space; single image super-resolution; Algorithm design and analysis; Analytical models; Dictionaries; Electronic mail; Image color analysis; Image reconstruction; Image resolution; Analysis sparsity; image super-resolution; neighbor compatibility; variance prediction;
fLanguage :
English
Journal_Title :
Signal Processing Letters, IEEE
Publisher :
ieee
ISSN :
1070-9908
Type :
jour
DOI :
10.1109/LSP.2013.2242198
Filename :
6417962
Link To Document :
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