Underwater Image Enhancement by Multiscale Fusion Technique and Dehazing

C. SujithaA., A. PrajithC.
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引用次数: 1

Abstract

Nowadays, underwater imaging has acquired considerable attention since it finds application in underwater object identification, species life monitoring, oil/gas pipeline detection, pollution monitoring etc. Attenuation of light is one of the major problems in capturing these images. Therefore, enhancement of underwater image is an important task. Visual features of the image can be improved by various image enhancement techniques. A useful method is to build up a fusion and dehazing technique which process a degraded input image. The proposed fusion- based underwater image enhancement technique aims to provide a final picture, which overcome all the insufficiencies of the input image by considering various weight maps. This can be achieved by employing white balancing on the underwater image followed by contrast stretching correction. Then sharpening, multi scale fusion process and dehazing can be performed to improve the visual appearance.
基于多尺度融合和去雾技术的水下图像增强
目前,水下成像在水下目标识别、物种生命监测、油气管道检测、污染监测等方面得到了广泛的应用,受到了广泛的关注。光的衰减是捕获这些图像的主要问题之一。因此,水下图像的增强是一项重要的任务。图像的视觉特征可以通过各种图像增强技术得到改善。一种有效的方法是建立一种融合和去雾技术来处理退化的输入图像。本文提出的基于融合的水下图像增强技术旨在通过考虑各种权重图,提供一幅克服输入图像所有不足的最终图像。这可以通过在水下图像上采用白平衡,然后进行对比度拉伸校正来实现。然后进行锐化、多尺度融合和除雾处理,以改善视觉外观。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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