Blind image deblurring via coupled sparse representation

•A blind image deblurring algorithm proposed by learning coupled dictionaries with sparse coding.•Coupled sparse representation of blurry image and its latent patch investigated.•Unified framework for optimization and fast learning scheme proposed for learning dictionaries.•Efficiency of the algorit...

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Veröffentlicht in:	Journal of visual communication and image representation 2014-07, Vol.25 (5), p.814-821
Hauptverfasser:	Yin, Ming, Gao, Junbin, Tien, David, Cai, Shuting
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Applied sciences Artificial intelligence Blind deblurring Blinds Blur kernel Blurred Computer science control theory systems Coupled dictionary Deconvolution Detection, estimation, filtering, equalization, prediction Exact sciences and technology Image patch Image quality Information, signal and communications theory Kernels Pattern recognition. Digital image processing. Computational geometry Representations Signal and communications theory Signal, noise Sparse representation Sub-pixel resolution Telecommunications and information theory Total variance Visual
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