Gamut mapping optimization algorithm based on gamut-mapped image measure (GMIM)-Reference-Cited by-同舟云学术

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Gamut mapping optimization algorithm based on gamut-mapped image measure (GMIM)

Published:2017-06-19 Issue:1 Volume:12 Page:67-74
ISSN:1863-1703
Container-title:Signal, Image and Video Processing
language:en
Short-container-title:SIViP

Author:

Liu Shiguang,Li Shichao

Funder

National Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Signal Processing

Link

http://link.springer.com/article/10.1007/s11760-017-1131-6/fulltext.html

Reference27 articles.

1. Morovič, J.: Color Gamut Mapping. Wiley, New York (2008)

2. Wang, Z., Bovik, A.C., Sheikh, H.R., Simoncelli, E.P.: Image quality assessment: from error visibility to structural similarity. IEEE Trans. Image Process. 13(4), 600–612 (2004)

3. ICC: File Format for Color Profiles, 4th ed. (online) (2010). http://www.color.org

4. Zolliker, P., Simon, K.: Retaining local image information in gamut mapping algorithms. IEEE Trans. Image Process. 16(5), 664–672 (2007)

5. Alsam, A., Farup, I.: Spatial colour gamut mapping by orthogonal projection of gradients onto constant hue lines. In: the 8th International Symposium on Visual Computing, pp. 556–565 (2012)

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