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Underwater image enhancement method through color correction and guide image filtering

Published: 01 June 2024 Publication History

Abstract

Reliable restoration of color loss in underwater images remains a challenge. Reliable restoration of underwater images usually requires solving three main difficulties, including color cast, underexposure, and blur. We propose a new algorithm for improving the quality of underwater images. The algorithm consists of three parts: color correction, brightness adjustment, and image deblurring. First, color correction is performed on the image so that the average value of the color channels of the image tend to be the same, and then adjust the brightness of the image based on the Retinex model. Finally, for the image blurring problem in the image after the brightness adjustment, use the guided image filtering to remove blurry. Experimental results show that our method is visually superior to other underwater image enhancement methods, and the processing method is relatively simple.

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CVDL '24: Proceedings of the International Conference on Computer Vision and Deep Learning
January 2024
506 pages
ISBN:9798400718199
DOI:10.1145/3653804
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: 01 June 2024

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