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Underwater Image Enhancement Based on Color Different Attenuation

Published: 19 April 2023 Publication History

Abstract

Underwater images play a very important role in projects related to the underwater environment. But in the underwater environment, the R channel attenuation of the RGB image and other reasons make the quality of the image significantly different from that on land in terms of color and clarity. In order to correct the chromatic aberration of the underwater image and improve the clarity, we propose a DAC method based on the compensation of difference. First, we perform contrast stretching and image denoising on the image. Then extract the details layer and the base layer of the RGB channel of the image respectively, and use the detail layer of the G, B channels with more information to compensate for the detail layer of the R channel. Finally, we optimize the details of the picture through the grayscale world algorithm to obtain the true color of the picture. We compared with various methods in the public underwater dataset UIEB, and it turns out that our method can well solve the problems of chromatic aberration and blur.

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RICAI '22: Proceedings of the 2022 4th International Conference on Robotics, Intelligent Control and Artificial Intelligence
December 2022
1396 pages
ISBN:9781450398343
DOI:10.1145/3584376
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Published: 19 April 2023

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