使用暗通道先验和滤波技术的水下图像去雾

Renjith V. Ravi, S. Goyal, Sardar M N Islam
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引用次数: 0

摘要

提高水下成像技术是海洋工程研究和技术发展的必要条件。由于水下视觉应用越来越多,减少雾霾的方法变得越来越重要。科学家们最近特别渴望调查奇怪的海底环境。对于许多计算机视觉和图形应用程序来说,图像中的雾霾是一个问题,因为它降低了场景的可见性和视觉质量。吸收和空气光导致雾霾出现。衰减降低了清晰度,空气光线使景观看起来更白。本文研究了一种去除水下图像雾霾的方法,以增强和提高水下图像的质量。该方法使水下图像更加清晰,对水下世界的研究和改进具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Underwater Image Dehazing using Dark Channel Prior and Filtering Techniques
The enhancement of underwater imaging is essential for ocean engineering research and technology. Due to the increasing number of vision applications underwater, haze reduction methods have become increasingly significant. Scientists have recently been particularly eager to investigate the strange undersea environment. Haze in an image is problematic for many computer vision and graphics applications because it reduces scene visibility and visual quality. Absorption and air light cause a haze to appear. Attenuation lessens sharpness, and air light makes the landscape seems whiter. This study examines a method for haze removal from underwater images in order to enhance them and raise their quality. The method suggested makes underwater pictures clearer, which is important for research and improvement in the underwater world.
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