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Publications [#265022] of Guillermo Sapiro

Papers Published

  1. Mairal, J; Elad, M; Sapiro, G, Sparse representation for color image restoration., Ieee Transactions on Image Processing : a Publication of the Ieee Signal Processing Society, vol. 17 no. 1 (January, 2008), pp. 53-69, ISSN 1057-7149 [18229804], [doi]
    (last updated on 2019/06/24)

    Sparse representations of signals have drawn considerable interest in recent years. The assumption that natural signals, such as images, admit a sparse decomposition over a redundant dictionary leads to efficient algorithms for handling such sources of data. In particular, the design of well adapted dictionaries for images has been a major challenge. The K-SVD has been recently proposed for this task and shown to perform very well for various grayscale image processing tasks. In this paper, we address the problem of learning dictionaries for color images and extend the K-SVD-based grayscale image denoising algorithm that appears in. This work puts forward ways for handling nonhomogeneous noise and missing information, paving the way to state-of-the-art results in applications such as color image denoising, demosaicing, and inpainting, as demonstrated in this paper.
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