Effective Framework for Underwater Image Enhancement using Multi-Fusion Technique

Aashi Singh Bhadouria, K. Agarwal
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Abstract

Underwater environments are totally different from the atmospheric environments as the environments in underwater are often complicated and shortage of light due to its physical properties. Special cameras are used for underwater imaging are mainly used for observing the deep sea ground there exist many problems, the images are underexposed as the light transportation characteristic of water makes it difficult, the underwater images suffer by various effects and the images look hazy & blurred, they reduce clarity of image. In this paper, we present an efficient algorithm for underwater images enhancement by applying the enhancement technique in the original hazy underwater image and then calculating the white-balance and contrast enhancement technique and then calculate the weight-maps on both techniques and then finally fuse the images by fusion technique.
基于多融合技术的水下图像增强有效框架
水下环境与大气环境是完全不同的,水下环境由于其物理性质往往是复杂的,并且光线不足。水下成像专用相机主要用于观测深海地面,存在许多问题,水的光传输特性使图像曝光困难,水下图像受到各种影响,图像模糊不清,降低了图像的清晰度。本文提出了一种有效的水下图像增强算法,将增强技术应用于原始模糊水下图像,然后计算白平衡和对比度增强技术,然后计算两种技术上的权重图,最后通过融合技术对图像进行融合。
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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