Relevance of Color spaces and Color channels in performing Image dehazing

Sriparna Banerjee, Pritam Ghosh, Pranay Kumar Singha, Swati Chowdhuri, S. S. Chaudhuri
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Abstract

In recent years, image dehazing has became a widely popular research topic because of its societal importance. Proper dehazing of images is very necessary to restore the visibility of images. In order to perform accurate dehazing of images it is very essential to identify the color channels of hazy images in different color spaces which are getting more influenced by the scattering and attenuation of scene light due to the presence of haze particles in the atmosphere in comparison to the other less influenced color channels so that the effect of airlight on the selected (more influenced) color channels can be removed and visibility of degraded hazy images can be fully restored without even processing the least influenced color channels. In this paper, we have performed a comprehensive analyses by comparing the histograms and the intensities of the color channels of different hazy (both nighttime and daytime) images and haze free images of the same scene to identify which of the color channels in RGB, HSV and L*a*b color spaces are getting more influenced by the presence of haze in the atmosphere in both daytime and nighttime hazy images as the characteristics of nighttime hazy images vastly differs from those of daytime hazy images.
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色彩空间和色彩通道在图像消雾中的相关性
近年来,图像去雾因其重要的社会意义而成为一个广泛流行的研究课题。为了恢复图像的可见性,对图像进行适当的去雾处理是十分必要的。为了执行准确dehazing图像是很基本的识别颜色通道的模糊图像在不同的颜色空间越来越受到现场光的散射和衰减由于大气霾粒子的存在相比,其他不影响颜色通道,这样空气光对选择的影响(影响)颜色通道可以删除和可见性退化的模糊图像可以完全恢复甚至不处理影响最小的颜色通道。在本文中,我们进行了全面的分析,通过比较同一场景的不同雾霾(包括夜间和白天)图像和无雾霾图像的直方图和颜色通道的强度,以确定哪些颜色通道在RGB中,由于夜间朦胧图像的特征与白天朦胧图像有很大的不同,因此无论是白天朦胧图像还是夜间朦胧图像,HSV和L*a*b色彩空间都受到大气中雾霾的影响越来越大。
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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