基于RETINEX的雾霾去除方法

2012 IEEE 7th International Conference on Industrial and Information Systems (ICIIS) Pub Date : 2012-09-17 DOI:10.1109/ICIINFS.2012.6304767

S. Parthasarathy, P. Sankaran

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引用次数: 14

摘要

近年来在图像处理和计算机视觉中最有趣的问题之一是从图像中去除雾、霾和雨。本文将考虑雾霾的去除问题。kaim等人[1]提出的一种最新的雾霾去除算法使用基于暗通道先验的方法进行雾霾去除。虽然这种方法得到了很好的结果，但这种方法在计算上很复杂。在本文中，我们提出了一种基于RETINEX的方法，该方法得到了良好的结果，并且计算更简单。

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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A RETINEX based haze removal method

One of the most interesting problems in recent times in image processing and computer vision is fog, haze and rain removal from images. In this paper we shall consider the problem of haze removal. One of the latest haze removal algorithms proposed by Kaiming et al. [1] uses a dark channel prior based approach for haze removal. Though this approach gives very good results, this method is computationally complex. In this paper we propose a RETINEX based approach that gives good results and is also computationally simpler.

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2012 IEEE 7th International Conference on Industrial and Information Systems (ICIIS)

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