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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Veröffentlicht in:	IEEE transactions on circuits and systems for video technology Jg. 31; H. 8; S. 2923 - 2937
Hauptverfasser:	Wen, Fei, Ying, Rendong, Liu, Yipeng, Liu, Peilin, Truong, Trieu-Kien
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.08.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	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-Zugang:	Volltext
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