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工程科学与技术:2018,50(5):202-208
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Retinex模型下基于融合策略的雾霾图像增强
(1.河海大学 计算机与信息学院, 江苏 南京 211100;2.南昌工程学院 信息工程学院, 江西 南昌 330099)
Haze Image Enhancement Based on Fusion Strategy in Retinex Model
(1.College of Computer and Info., Hohai Univ., Nanjing 211100, China;2.School of Info. Eng., Nanchang Inst. of Technol., Nanchang 330099, China)
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投稿时间:2017-06-12    修订日期:2018-08-19
中文摘要: 针对现有Retinex算法处理后的图像达不到色彩与细节同时增强的效果,且细节增强的同时易产生光晕,出现噪声放大、色彩失真等情况,提出了一种Retinex模型下基于融合策略的雾霾图像增强算法。该算法首先在HSV空间实现色彩增强,根据亮度分量,获取无色彩失真的反射分量,再通过修正照度分量,得到改进的Retinex模型;然后在RGB空间,采用快速双边滤波器来保留图像细节,在获得反射分量的基础上,引入原图部分和色彩恢复因子,实现细节增强;最后,在RGB色彩空间对处理后的图像加权融合,得到增强后的去雾图像。通过本文算法和现有算法对雾天图像进行去雾处理,得到不同的去雾结果。本文算法得到的去雾图像增加了细节信息,没有出现明显的颜色失真和光晕现象,处理后图像的信息熵提高。本文算法具有更短的运算时间,具有良好的可操作性。根据实验结果以及评价标准,本文算法能够在减少色彩失真的基础上,达到细节增强的良好效果。
Abstract:In order to resolve the problem that the existing Retinex algorithm for the image processed could not achieve the enhancement of color and detail at the same time, and the enhancement of detail easily produced halo, noise amplification, color distortion, etc., a haze image enhancement algorithm based on the fusion strategy of Retinex model was proposed. Firstly, the color enhancement was achieved in HSV space, and the reflection component without color distortion was obtained according to the luminance component. Secondly, in the RGB space, the fast bilateral filter was used to preserve the detail of the image. On the basis of obtaining the reflection component, the original part and the color recovery factor were introduced to realize the detail enhancement. Finally, the processed image was weighted and fused in the RGB color space and then the dehazed image was obtained. The haze image which was dehazed by the proposed algorithm and the existing algorithm could obtain different dehazing results. The dehazed image obtained by the proposed algorithm increases the detail information, and there is no obvious color distortion and halo phenomenon, and the information entropy of the processed image is improved. This algorithm has shorter computation time and good operability. According to the experimental results and evaluation criteria, the proposed algorithm could achieve a good effect of detail enhancement on the basis of reducing color distortion.
文章编号:201700459     中图分类号:TP391.4    文献标志码:
基金项目:国家自然科学基金资助项目(61871174;61563036)
作者简介:李昌利(1976-),男,博士,副教授.研究方向:智能图像处理、盲信号处理、阵列信号处理.E-mail:charlee@hhu.edu.cn
引用文本:
李昌利,周晓晓,张振,樊棠怀.Retinex模型下基于融合策略的雾霾图像增强[J].工程科学与技术,2018,50(5):202-208.
LI Changli,ZHOU Xiaoxiao,ZHANG Zhen,FAN Tanghuai.Haze Image Enhancement Based on Fusion Strategy in Retinex Model[J].Advanced Engineering Sciences,2018,50(5):202-208.