Image deblurring via enhanced local maximum intensity prior
作者：
Highlights：
• We design an enhanced local maximum intensity prior for blind image deblurring.
• We strengthen the robustness of the channel-based prior.
• We verify the validity of the proposed prior both mathematically and experimentally.
• We analyze the convergence of the proposed algorithm.
• Our approach achieves comparable results compared to state-of-the-art methods.
摘要
•We design an enhanced local maximum intensity prior for blind image deblurring.•We strengthen the robustness of the channel-based prior.•We verify the validity of the proposed prior both mathematically and experimentally.•We analyze the convergence of the proposed algorithm.•Our approach achieves comparable results compared to state-of-the-art methods.
论文关键词：Blind image deblurring,Local maximum intensity,Local maximum gradient,Enhanced local maximum intensity,Blur kernel estimation
论文评审过程：Received 3 October 2020, Revised 6 March 2021, Accepted 3 May 2021, Available online 8 May 2021, Version of Record 12 May 2021.
论文官网地址：https://doi.org/10.1016/j.image.2021.116311
