• Corpus ID: 25824916

# Image restoration with generalized Gaussian mixture model patch priors

@article{Deledalle2018ImageRW,
title={Image restoration with generalized Gaussian mixture model patch priors},
author={Charles-Alban Deledalle and Shibin Parameswaran and Truong Q. Nguyen},
journal={ArXiv},
year={2018},
volume={abs/1802.01458}
}
• Published 3 February 2018
• Computer Science, Engineering, Mathematics
• ArXiv
Patch priors have became an important component of image restoration. A powerful approach in this category of restoration algorithms is the popular Expected Patch Log-likelihood (EPLL) algorithm. EPLL uses a Gaussian mixture model (GMM) prior learned on clean image patches as a way to regularize degraded patches. In this paper, we show that a generalized Gaussian mixture model (GGMM) captures the underlying distribution of patches better than a GMM. Even though GGMM is a powerful prior to…
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