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This folder contains implementations and re-implementations of some image restoration algorithms using mainly the | ||
popular Alternating Direction Methods of Multipliers (ADMM). | ||
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Some of the codes included are: | ||
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1. Split Bregman Total Variation Denoising/Deblurring of Image | ||
2. ALM/ADMM Total Variation Denoising/Deblurring of Image | ||
3. Non-convex Lp-norm (0 < p <1) Total Variation Deblurring using ADMM/ALM and IRL1 (Iterative Reweighted L1). | ||
4. Second Order ALM/ADMM Total Variation Denoising/Deblurring (TV image restoration using the 2nd Order Derivative operator). | ||
5. Robust Principal Componant Analysis (RPCA) for sparse noise restoration (impulse noise). | ||
6. The state-of-the-art L0-TV by Yuan and Ghanem for impulse noise restoration (using pure ADMM). |