An ℓ0-overlapping group sparse total variation for impulse noise image restoration

作者：

Highlights：

• The proposed model robustly eliminates impulse noise and the staircase artifacts.

• The proposed model efficiently solves the non-convex model.

• Significantly better results for both image denoising and deblurring.

摘要

•The proposed model robustly eliminates impulse noise and the staircase artifacts.•The proposed model efficiently solves the non-convex model.•Significantly better results for both image denoising and deblurring.

论文关键词：Non-convex,Image restoration,Total variation,ADMM,ℓ0-norm fidelity

论文评审过程：Received 1 May 2021, Revised 6 October 2021, Accepted 18 December 2021, Available online 27 December 2021, Version of Record 10 January 2022.

论文官网地址：https://doi.org/10.1016/j.image.2021.116620