19 July 2013 An image restoration method based on sparse constraint
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Proceedings Volume 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013); 887806 (2013) https://doi.org/10.1117/12.2030581
Event: Fifth International Conference on Digital Image Processing, 2013, Beijing, China
Abstract
In this paper, proposed an image restoration method which base on the sparse constraint. Based on the principle of Compressed Sensing, the observed image is transformed into the wavelet domain, and then converted the image restoration problem to a convex set unrestricted optimization problem by limiting the number of non-zero elements of the wavelet domain, using the gradient projection method for solving the optimization problem to achieve the restoration of the input image. Experiments show that the method presented has the fast convergence and good robustness compared to the traditional total variation regularization restoration method.
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Zhenping Qiang, Hui Liu, Xu Chen, Zhenhong Shang, Lingjun Zeng, "An image restoration method based on sparse constraint", Proc. SPIE 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013), 887806 (19 July 2013); doi: 10.1117/12.2030581; https://doi.org/10.1117/12.2030581
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