Blind image deblurring via coupled sparse representation
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- 作者：Ming Yina ; yiming@gdut.edu.cn" class="auth_mail ; Junbin Gaob ; jbgao@csu.edu.au" class="auth_mail ; David Tienb ; dtien@csu.edu.au" class="auth_mail ; Shuting Caia ; shutingcai@126.com" class="auth_mail
- 关键词：Blind deblurring ; Sparse representation ; Coupled dictionary ; Image patch ; Deconvolution ; Blur kernel ; Total variance ; Sub-pixel resolution
- 刊名：Journal of Visual Communication and Image Representation
- 出版年：July 2014
- 年：2014
- 卷：25
- 期：5
- 页码：814-821
- 全文大小：1589 K
文摘
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A blind image deblurring algorithm proposed by learning coupled dictionaries with sparse coding.
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Coupled sparse representation of blurry image and its latent patch investigated.
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Unified framework for optimization and fast learning scheme proposed for learning dictionaries.
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Efficiency of the algorithm evaluated on standard images against state-of-the-art algorithms.