Image Super-Resolution via Sparse Representation
to many other related inverse problems in image processing, such as denoising[19] and restoration[20], often improvingon 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.
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