Ensemble Dictionary Learning for Single Image Deblurring via Low-Rank Regularization

Ensemble Dictionary Learning for Single Image Deblurring via Low-Rank Regularization

Sparse representation is a powerful statistical technique that has been widely utilized in image restoration applications. In this paper, an improved sparse representation model regularized by a low-rank constraint is proposed for single image deblurring. The key motivation for the proposed model li...

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Bibliographic Details
Main Authors: Jinyang Li, Zhijing Liu
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Sensors
Subjects:
image deblurring
low-rank constraint
self-repetitive structures
nonlocal similarity
ensemble dictionary learning
Online Access:http://www.mdpi.com/1424-8220/19/5/1143

Internet

http://www.mdpi.com/1424-8220/19/5/1143

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