Nighttime image dehazing based on Retinex and dark channel prior using Taylor series expansion-Reference-Cited by-同舟云学术

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Nighttime image dehazing based on Retinex and dark channel prior using Taylor series expansion

Published:2021-01 Issue: Volume:202 Page:103086
ISSN:1077-3142
Container-title:Computer Vision and Image Understanding
language:en
Short-container-title:Computer Vision and Image Understanding

Author:

Tang Qunfang,Yang Jie,He Xiangjian,Jia Wenjing,Zhang Qingnian,Liu Haibo

Funder

China Scholarship Council

National Natural Science Foundation of China

Hunan Provincial Natural Science Foundation of China

Hunan Provincial Key Research and Development Project of China

Hunan Provincial Science Research Project of China

Publisher

Elsevier BV

Subject

Computer Vision and Pattern Recognition,Signal Processing,Software

Reference49 articles.

1. Afifi, M., Brown, M.S., 2019. What else can fool deep learning? Addressing color constancy errors on deep neural network performance. In: Proceedings of the IEEE International Conference on Computer Vision. pp. 243–252.

2. Afifi, M., Price, B., Cohen, S., Brown, M.S., 2019. When color constancy goes wrong: Correcting improperly white-balanced images. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 1535–1544.

3. Akkaynak, D., Treibitz, T., 2019. Sea-thru: A method for removing water from underwater images. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 1682–1691.

4. Color balance and fusion for underwater image enhancement;Ancuti;IEEE Trans. Image Process.,2017

5. Color balance and fusion for underwater image enhancement;Ancuti;IEEE Trans. Image Process.,2018

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