Hybrid Image Enhancement With Progressive Laplacian Enhancing Unit-Reference-Cited by-同舟云学术

Hybrid Image Enhancement With Progressive Laplacian Enhancing Unit

Published:2019-10-15 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 27th ACM International Conference on Multimedia
language:
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Author:

Huang Jie¹,Xiong Zhiwei¹,Fu Xueyang¹,Liu Dong¹,Zha Zheng-Jun¹

Affiliation:

1. University of Science and Technology of China, Hefei, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3343031.3350855

Reference32 articles.

1. Various image enhancement techniques-a critical review;Bedi Sarabjeet Singh;International Journal of Advanced Research in Computer and Communication Engineering,2013

2. Vladimir Bychkovsky Sylvain Paris Eric Chan and Fredo Durand. 2011. Learning photographic global tonal adjustment with a database of input/output image pairs. In CVPR. 97--104. Vladimir Bychkovsky Sylvain Paris Eric Chan and Fredo Durand. 2011. Learning photographic global tonal adjustment with a database of input/output image pairs. In CVPR. 97--104.

3. DehazeNet: An End-to-End System for Single Image Haze Removal

4. Qifeng Chen Jia Xu and Vladlen Koltun. 2017. Fast Image Processing With Fully-Convolutional Networks. In ICCV. 2516--2525. Qifeng Chen Jia Xu and Vladlen Koltun. 2017. Fast Image Processing With Fully-Convolutional Networks. In ICCV. 2516--2525.

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