Abstract:In various applications, i. e., astronomical imaging, electron microscopy, and tomography, images are often damaged by Poisson noise. At the same time, the thermal motion leads to Gaussian noise. Therefore, in such applications, the image is usually corrupted by mixed Poisson -Gaussian noise.In this paper, we propose a novel method for recovering images corrupted by mixed Poisson -Gaussian noise. In the proposed method, we develop a total variation-based model connected with the nonconvex function and the tota… Show more
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