An efficient non-convex total variation approach for image deblurring and denoising

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摘要

Total variation (TV) is broadly utilized in image processing because it is able to preserve sharp edges and object boundaries, which are usually the most important parts of an image. Recently, the non-convex functions such as the smoothly clipped absolute deviation, the minimax concave penalty, the capped ℓ1-norm penalty and the ℓp quasi-norm with 0

论文关键词:Total variation (TV),Image deblurring and denoising,Non-convex regularization,Optimizing minimization,Alternating direction method of multiplier (ADMM)

论文评审过程:Received 9 November 2020, Revised 29 December 2020, Accepted 9 January 2021, Available online 21 January 2021, Version of Record 21 January 2021.

论文官网地址:https://doi.org/10.1016/j.amc.2021.125977