Color restoration in turbid medium

M. NimishaT., K. Seemakurthy, A. Rajagopalan, N. Vedachalam, Ramesh Raju
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引用次数: 5

Abstract

Light scattering and color distortions are two major issues with underwater imaging. Scattering occurs due to turbidity of the medium and color distortions are caused by differential attenuation of wavelengths as a function of depth. As a result, underwater images taken in a turbid medium have low contrast, color cast, and color loss. The main objective of this work is color restoration of underwater images i.e, produce its equivalent image as seen outside of the water surface. As a first step, we account for low contrast by employing dark channel prior based dehazing. These images are then color corrected by learning a mapping function between a pair of color chart images, one taken inside water and another taken outside. The mapping thus learned is with respect to a reference distance from the water surface. We also propose a color modulation scheme that is applied prior to color mapping to accommodate the same mapping function for different depths as well. Color restoration results are given on several images to validate the efficacy of the proposed methodology.
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在浑浊介质中恢复颜色
光散射和色彩失真是水下成像的两个主要问题。散射是由于介质的浑浊而发生的,颜色失真是由于波长作为深度的函数的微分衰减引起的。因此,在浑浊介质中拍摄的水下图像具有低对比度,偏色和色彩损失。这项工作的主要目的是水下图像的颜色恢复,即产生其等效的图像,看到水面外。作为第一步,我们通过使用暗通道先验去雾来解决对比度低的问题。然后通过学习一对彩色图表图像之间的映射函数来校正这些图像的颜色,其中一个在水中拍摄,另一个在室外拍摄。这样学习到的映射是关于到水面的参考距离。我们还提出了一种颜色调制方案,该方案在颜色映射之前应用,以适应不同深度的相同映射函数。给出了几幅图像的颜色恢复结果,以验证所提出方法的有效性。
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