Contrast preserving image decolorization combining global features and local semantic features-Reference-Cited by-同舟云学术

Contrast preserving image decolorization combining global features and local semantic features

Published:2018-05-03 Issue:6-8 Volume:34 Page:1099-1108
ISSN:0178-2789
Container-title:The Visual Computer
language:en
Short-container-title:Vis Comput

Author:

Zhang Xiaoli,Liu Shiguang^ORCID

Funder

the Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Software

Link

http://link.springer.com/article/10.1007/s00371-018-1524-8/fulltext.html

Reference26 articles.

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3. Liu, Q.G., Xiong, J.J., Zhu, L., Zhang, M.H., Wang, Y.H.: Extended RGB2Gray conversion model for efficient contrast preserving decolorization. Multimed. Tools Appl. 76(12), 1–20 (2016)

4. Sowmya, V., Govind, D., Soman, K.P.: Significance of incorporating chrominance information for effective color-to-grayscale image conversion. Signal Image Video Process. 11(1), 1–8 (2016)

5. Hou, X.X., Duan, J., Qiu, G.P.: Deep feature consistent deep image transformations: downscaling, decolorization and HDR tone mapping. In: Computer Vision and Pattern Recognition, pp. 1–10 (2017)

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