Nonblind Image Deblurring Based on Bi-Composition Decomposition by Local Smoothness and Nonlocal Self-Similarity Priors

Nonblind Image Deblurring Based on Bi-Composition Decomposition by Local Smoothness and Nonlocal Self-Similarity Priors

Image deblurring is a classical inverse problem in image processing and computer vision. The vital task is to construct the proper image prior model to obtain the high-quality restored image with salient edges and rich details. A new nonblind image deblurring method by combining local smoothness and...

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Bibliographic Details
Main Authors: Qiaohong Liu, Liping Sun, Chen Ling, He Ren, Song Gao
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Nonblind image deblurring
bi-component decomposition
local smoothness
nonlocal self-similarity
split Bregman iteration
four-directional fast gradient projection algorithm
Online Access:https://ieeexplore.ieee.org/document/8708211/

Internet

https://ieeexplore.ieee.org/document/8708211/

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