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A novel framework method for non-blind deconvolution using subspace images priors

Crossref DOI link: https://doi.org/10.1016/j.image.2016.04.003

Published Print: 2016-08

Update policy: https://doi.org/10.1016/elsevier_cm_policy

Authors

Zhuang, Peixian

Fu, Xueyang

Huang, Yue

Zeng, Delu

Ding, Xinghao
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (61571382, 61571005, 81301278, 61172179, 61103121)

Guangdong Natural Science Foundation (2015A030313007)

Fundamental Research Funds for the Central Universities (20720160075, 20720150169, 20720150093)

Research Fund for the Doctoral Program of Higher Education (20120121120043)
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Text and Data Mining valid from 2016-08-01
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This article is maintained by: Elsevier

Article Title: A novel framework method for non-blind deconvolution using subspace images priors

Journal Title: Signal Processing: Image Communication

CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.image.2016.04.003

Content Type: article

Copyright: © 2016 Elsevier B.V. All rights reserved.