Exposure fusion based on sparse representation using approximate K-SVD-Reference-Cited by-同舟云学术

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Exposure fusion based on sparse representation using approximate K-SVD

Published:2014-07 Issue: Volume:135 Page:145-154
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Wang Jinhua,Liu Hongzhe,He Ning

Funder

National Nature Science Foundation of China

Project of Construction of Innovative Teams and Teacher Career Development for Universities and Colleges under Beijing Municipality

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference27 articles.

1. P.E. Debevec, J. Malik, Recovering high dynamic range radiance maps from photographs, in: Proceedings of SIGGRAPH '97, ACM, New York, 1997, pp.369–378.

2. A general framework for multi-resolution image fusion: from pixels to regions;Piella;Inf. Fusion,2003

3. The K-SVD: an algorithm for designing overcomplete dictionaries for sparse representation;Aharon;IEEE Trans. Signal Process.,2006

4. Fusion of multi-exposure images;Goshtasby;Image Vision Comput.,2005

5. I. Mertens, J. Kautz, F.V. Reeth, Exposure fusion, in: Proceedings of the 15th Pacific Conference on Computer Graphics and Applications, 2007, pp. 382–390.

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