JOURNAL ARTICLE

Image Super-Resolution Via Analysis Sparse Prior

Qiang NingKan ChenYi LiChuchu FanYao LuJiangtao Wen

Year: 2013 Journal:   IEEE Signal Processing Letters Vol: 20 (4)Pages: 399-402   Publisher: Institute of Electrical and Electronics Engineers

Abstract

In this letter, we present a new algorithm for a single image super-resolution using the analysis sparse prior in the l αβ 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:
Computer science Scalability Image (mathematics) Resolution (logic) Key (lock) Artificial intelligence Algorithm Image resolution Pattern recognition (psychology)

Metrics

25
Cited By
3.12
FWCI (Field Weighted Citation Impact)
18
Refs
0.93
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Image Processing Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Image and Signal Denoising Methods
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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