Blind Image Deblurring via Local Maximum Difference Prior

Blind Image Deblurring via Local Maximum Difference Prior

Blind image deblurring is a well-known conundrum in the digital image processing field. To get a solid and pleasing deblurred result, reasonable statistical prior of the true image and the blur kernel is required. In this work, a novel and efficient blind image deblurring method which utilizes the L...

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Bibliographic Details
Main Authors: Jing Liu, Jieqing Tan, Lei He, Xianyu Ge, Dandan Hu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Image deblurring
image restoration
deconvolution
kernel estimation
local maximum difference
Online Access:https://ieeexplore.ieee.org/document/9270020/

Internet

https://ieeexplore.ieee.org/document/9270020/

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