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- W4320802439 abstract "Image restoration is a serious inverse problem, and the regularization method is recognized as an effective method. In this paper, a ℓ <inf xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>0</inf> non-convex hybrid total variation(NHTV) regularization method is proposed, and the TV-based restoration problem is solved by using ℓ <inf xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>0</inf> norm data fidelity. In order to effectively tackle the proposed non-convex and non-smooth optimization problem, we first express this problem as a Mathematical Program with Equilibrium Constraints(MPEC), and then a proximal Alternating Direction Method of Multipliers(PADMM) is adopted to solve this problem. Numerical simulations verify the effectiveness of our proposed method. The comparations with other convex TV-based regularization methods are also conducted, which clearly show that this method can achieve better suppression of the staircase effect, effectively preserve the edge information and therefore obtain a higher signal-to-noise ratio." @default.
- W4320802439 created "2023-02-15" @default.
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- W4320802439 date "2022-08-15" @default.
- W4320802439 modified "2023-09-25" @default.
- W4320802439 title "ℓ<sub>0</sub> NHT V : A Non-convex Hybrid Total Variation Regularization Method for Image Restoration" @default.
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- W4320802439 doi "https://doi.org/10.1109/ccdc55256.2022.10034006" @default.
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