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Image Super-Resolution Via Analysis Sparse Prior

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6 Author(s)
Qiang Ning ; Dept. of Electron. Eng., Tsinghua Univ., Beijing, China ; Kan Chen ; Li Yi ; Chuchu Fan
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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.

Published in:

Signal Processing Letters, IEEE  (Volume:20 ,  Issue: 4 )

Date of Publication:

April 2013

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