Natural Image Deblurring Based on Ringing Artifacts Removal via Knowledge-Driven Gradient Distribution Priors

Natural Image Deblurring Based on Ringing Artifacts Removal via Knowledge-Driven Gradient Distribution Priors

Blind image deblurring, composed of estimating blur kernel and non-blind deconvolution, is an extremely ill-posed problem. However, previous deblurring methods still cannot solve delta kernel or noise problem well and avoid ringing artifacts in restored image, because the reliable kernel estimation...

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Bibliographic Details
Main Authors: Hongtian Zhao, Hua Yang, Hang Su, Shibao Zheng
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Blind image deblurring
Kernel estimation
knowledge-driven gradient priors
piece-wise fractional function
strong structure
Online Access:https://ieeexplore.ieee.org/document/9136686/

Internet

https://ieeexplore.ieee.org/document/9136686/

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