Blind Deconvolution
Blind Deconvolution is an inverse signal processing technique that recovers an original signal or image from its convoluted observation without prior knowledge of either the input signal or the convolutional kernel, distinguishing itself from conventional deconvolution methods by simultaneously estimating both the latent source and the blurring operator.
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2017–2026
247
Variants
Blind Signal Deconvolution
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A Fast Fixed-Point Algorithm for Independent Component Analysis
Aapo Hyvärinen, Erkki Oja · Neural Computation · 1997 · 3.4K citations
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Neural Computation · 1998 · 2.7K citations
Removing camera shake from a single photograph
Rob Fergus, Barun Singh, Aaron Hertzmann et al. · ACM Transactions on Graphics · 2006 · 1.8K citations
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Centre National de la Recherche Scientifique
Paris, France
23 h-index
86 publications
2.8K citations
Georgia Institute of Technology
Atlanta, United States
18 h-index
50 publications
2.8K citations

Huazhong University of Science and Technology
Wuhan, China
15 h-index
63 publications
2.6K citations

Universidad de Granada
Granada, Spain
14 h-index
36 publications
1.6K citations
Technion – Israel Institute of Technology
Haifa, Israel
14 h-index
32 publications
1.7K citations
Czech Academy of Sciences, Institute of Information Theory and Automation
Prague, Czechia
13 h-index
33 publications
2K citations
Northwestern University
Evanston, United States
12 h-index
24 publications
1.3K citations
RIKEN Center for Brain Science
Wako, Japan
12 h-index
19 publications
1.6K citations
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