Image Super-Resolution via Sparse Representation
the state-of-the-art. For example in [19], the authors use the K-SVD algorithm [21] to learn an overcomplete dictionary from natural image patches and successfully apply it to the image denoising problem. In our setting, we do not directly compute the sparse representation of the high-resolutionpatch.
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