Image Super Resolution via Iterative Refinement
Image Super Resolution via Iterative Refinement
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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.
