A Simple Local Minimal Intensity Prior and an Improved Algorithm for Blind Image Deblurring

Blind image deblurring is a long standing challenging problem in image processing and low-level vision. Recently, sophisticated priors such as dark channel prior, extreme channel prior, and local maximum gradient prior, have shown promising effectiveness. However, these methods are computationally e...

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Bibliographic Details
Published in:	IEEE transactions on circuits and systems for video technology Vol. 31; no. 8; pp. 2923 - 2937
Main Authors:	Wen, Fei, Ying, Rendong, Liu, Yipeng, Liu, Peilin, Truong, Trieu-Kien
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.08.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Approximation algorithms blind deblurring Computational efficiency Convolution Image deblurring Image edge detection Image processing Image restoration intensity sparsity prior Kernel local minimal pixels Measurement Pixels Robustness (mathematics) Sparsity sparsity inducing
ISSN:	1051-8215, 1558-2205
Online Access:	Get full text
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