Hyper-Laplacian Regularized Non-Local Low-Rank Prior for Blind Image Deblurring

Hyper-Laplacian Regularized Non-Local Low-Rank Prior for Blind Image Deblurring

Blind deblurring of single image is a challenging image restoration problem. Recent various image priors have been successfully explored to solve this ill-posed problem. In this paper, based on the non-local self-similarity, we propose a novel method for blind image deblurring, which can simultaneou...

Full description

Bibliographic Details
Main Authors: Xiaole Chen, Ruifeng Yang, Chenxia Guo, Shuangchao Ge, Zhihong Wu, Xibin Liu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Blind deblurring
hyper-laplacian
non-local self-similarity
low-rank matrix approximation
non-uniform deblurring
Online Access:https://ieeexplore.ieee.org/document/9144594/

Internet

https://ieeexplore.ieee.org/document/9144594/

Similar Items