基于对比度和颜色改进的水下图像去雾融合技术

Ritu Singh, M. Biswas
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引用次数: 16

摘要

光在水中的散射和吸收导致在水下捕获的图像的退化。这种退化包括颜色减少、亮度降低和图像中无法区分的物体。为了改善这种退化图像的质量,我们提出了基于融合的水下图像增强技术,重点是利用对比度拉伸和自动白平衡来改善水下图像的对比度和颜色。我们提出的方法非常简单直接,对提高水下图像的可见性有很大的帮助。
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Contrast and color improvement based haze removal of underwater images using fusion technique
Scattering and absorption of light in water leads to degradation of images captured under the water. This degradation includes diminished colors, low brightness and undistinguishable objects in the image. To improve the quality of such degraded images, we have proposed fusion based underwater image enhancement technique that focuses on improving of the contrast and color of underwater images using contrast stretching and Auto White Balance. Our proposed method is very simple and straightforward that contributes greatly in uplifting the visibility of underwater images.
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