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An image enhancement algorithm for turbid underwater image based on multiple methods

Published: 28 February 2020 Publication History

Abstract

Underwater resource development is more and more important, but some underwater operations, such as scientific exploration and construction work depending on underwater observation, are with visual difficulties because of the turbid water. To improve underwater visual quality, we propose a comprehensive image enhancement algorithm in this paper, which consists of four sections. The first section is Bilateral Filter used to reduce image noise, then the image is dehazed based on Dark Channel Prior (DCP). Thirdly, we propose one White Balance method to adjust colors in underwater images. At the end of the algorithm, Contrast Limited Adaptive Histogram Equalization (CLAHE) is adopted to improve the contrast in images. Besides, to verify this algorithm, a series of underwater image experiments are conducted on the turbid water test platform. More than 300 turbid underwater images are captured and some of them are processed through the proposed algorithm. By using Image Quality Evaluate Metrics and comparing degraded images with result images, we evaluate the algorithm in subjective and objective aspects, and conclude that the proposed algorithm can comprehensively improve the quality of images with better color, contrast and more details, which has a great significance to underwater operations.

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    ICMIP '20: Proceedings of the 5th International Conference on Multimedia and Image Processing
    January 2020
    191 pages
    ISBN:9781450376648
    DOI:10.1145/3381271
    • Conference Chair:
    • Wanyang Dai,
    • Program Chairs:
    • Xiangyang Hao,
    • Ramayah T,
    • Fehmi Jaafar
    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 ACM 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: 28 February 2020

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    Author Tags

    1. color restoration
    2. image enhancement
    3. underwater image processing

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