Ensemble Dictionary Learning for Single Image Deblurring via Low-Rank Regularization
School of Computer Science and Technology, Xidian University, Xi’an 710071, China
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Sensors 2019, 19(5), 1143; https://doi.org/10.3390/s19051143
Received: 16 January 2019
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Revised: 23 February 2019
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Accepted: 1 March 2019
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Published: 6 March 2019
(This article belongs to the Section Intelligent Sensors)
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 lies in the observation that natural images are full of self-repetitive structures and they can be represented by similar patterns. However, as input images contain noise, blur, and other visual artifacts, extracting nonlocal similarities only with patch clustering algorithms is insufficient. In this paper, we first propose an ensemble dictionary learning method to represent different similar patterns. Then, low-rank embedded regularization is directly imposed on inputs to regularize the desired solution space which favors natural and sharp structures. The proposed method can be optimized by alternatively solving nuclear norm minimization and norm minimization problems to achieve higher restoration quality. Experimental comparisons validate the superior results of the proposed method compared with other deblurring algorithms in terms of visual quality and quantitative metrics.
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Keywords:
image deblurring; low-rank constraint; self-repetitive structures; nonlocal similarity; ensemble dictionary learning
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MDPI and ACS Style
Li, J.; Liu, Z. Ensemble Dictionary Learning for Single Image Deblurring via Low-Rank Regularization. Sensors 2019, 19, 1143. https://doi.org/10.3390/s19051143
AMA Style
Li J, Liu Z. Ensemble Dictionary Learning for Single Image Deblurring via Low-Rank Regularization. Sensors. 2019; 19(5):1143. https://doi.org/10.3390/s19051143
Chicago/Turabian StyleLi, Jinyang, and Zhijing Liu. 2019. "Ensemble Dictionary Learning for Single Image Deblurring via Low-Rank Regularization" Sensors 19, no. 5: 1143. https://doi.org/10.3390/s19051143
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