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Underwater image enhancement based on red channel weighted compensation and gamma correction model

Xiang Wending et al · Editorial Office of Opto-Electronic Journals Group, Institute of Optics and Electronics, CAS, China · 2018

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Due to the special characteristics of light in water, the information of the red channel is seriously attenuated in collected image. This causes other colors to dominate the image. This paper proposes an underwater image enhancement algorithm based on red channel weighted compensation and gamma correction model. Firstly, by analyzing the attenuation characteristics of RGB channels, the intensity and the edge information of red channel are compensated by weighting the attenuation coefficient ratio between different channels to correct the chromaticity. Then the gamma correction model is employed to stretch the intensity range to enhance the contrast which makes the image look clearer. The experimental results show that the proposed algorithm can correct the color cast effect and improve the contrast by nearly 2 times for the underwater images with too much red component attenuation.

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APA 7

al, X. W. E. (2018). Underwater image enhancement based on red channel weighted compensation and gamma correction model. https://doi.org/10.29026/oea.2018.180024

MLA

al, Xiang Wending et. "Underwater image enhancement based on red channel weighted compensation and gamma correction model." 2018. https://doi.org/10.29026/oea.2018.180024.

Chicago

al, Xiang Wending et. 2018. "Underwater image enhancement based on red channel weighted compensation and gamma correction model.". https://doi.org/10.29026/oea.2018.180024.

Harvard

al, X. W. E. 2018, Underwater image enhancement based on red channel weighted compensation and gamma correction model, Editorial Office of Opto-Electronic Journals Group, Institute of Optics and Electronics, CAS, China, available at: https://doi.org/10.29026/oea.2018.180024 [Accessed 8 Aug. 2026].

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Title
Underwater image enhancement based on red channel weighted compensation and gamma correction model
Author / contributors
Xiang Wending et al
Publisher
Editorial Office of Opto-Electronic Journals Group, Institute of Optics and Electronics, CAS, China
Publication year
2018
ISSN
2096-4579
ISSN
2096-4579
Language
English

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