Underwater image enhancement based on color-line model and homomorphic filtering-Reference-Cited by-同舟云学术

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Underwater image enhancement based on color-line model and homomorphic filtering

Published:2021-06-21 Issue:1 Volume:16 Page:83-91
ISSN:1863-1703
Container-title:Signal, Image and Video Processing
language:en
Short-container-title:SIViP

Author:

Yu Haifeng,Li Xinbin,Lou Qian,Yan Lei

Funder

the S&T Program of Heb

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Signal Processing

Link

https://link.springer.com/content/pdf/10.1007/s11760-021-01960-z.pdf

Reference29 articles.

1. Ancuti, C.O., Ancuti, C., De Vleeschouwer, C., et al.: Color balance and fusion for underwater image enhancement. IEEE Trans. Image Process. 27(1), 379–393 (2018)

2. Heng, T., Jingping, Z., Shuwen, T., et al.: Rapid underwater target enhancement method based on polarimetric imaging. Opt. Laser Technol. 108, 515–520 (2018)

3. Ghani, A.S.A.: Image contrast enhancement using an integration of recursive-overlapped contrast limited adaptive histogram specification and dual-image wavelet fusion for the high visibility of deep underwater image. Ocean Eng. 162, 224–238 (2018)

4. Afifi, M., Price, B., Cohen, S., et al.: When color constancy goes wrong: correcting improperly white-balanced images. Comput. Vis. Pattern Recognit. pp. 1535–1544 (2019)

5. Guraksin, G.E., Kose, U., Deperlioglu, O., et al.: Underwater image enhancement based on contrast adjustment via differential evolution algorithm. In: International Symposium on Innovations in Intelligent Systems and Applications, pp. 1–5 (2016)

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