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一种改进的具有色彩保护的多尺度Retinex图像增强算法
引用本文:张翔,王伟,肖迪.一种改进的具有色彩保护的多尺度Retinex图像增强算法[J].计算机科学,2018,45(10):246-249.
作者姓名:张翔  王伟  肖迪
作者单位:南京工业大学电气工程与控制科学学院 南京211800,海军医学研究所航空医学研究室 上海200433,南京工业大学电气工程与控制科学学院 南京211800
基金项目:本文受全军后勤科研项目(BHJ14C017),武器装备军内科研项目(14A509),国家自然科学基金资助
摘    要:针对图像增强存在的光晕伪影、颜色失真等问题,在MSRCP(Multi-Scale Retinex with Chromaticity Preservation)的基础上提出一种改进的多尺度Retinex图像增强算法。该算法首先计算原图像的强度图像;然后采用引导滤波对强度图像进行平滑处理,估计出照度分量,进而根据Retinex原理估计出反射分量;最后在颜色恢复函数中引入S型曲线函数得到最终的增强图像。实验结果表明,该算法可以有效解决光晕伪影现象,提高细节信息,使增强图像的整体色彩与原图一致,改善了图像整体的视觉效果。

关 键 词:Retinex  MSRCP  图像增强  引导滤波  S型曲线函数
收稿时间:2017/9/14 0:00:00
修稿时间:2017/12/27 0:00:00

Improved Image Enhancemengt Algorithm Based on Multi-scale Retinex with Chromaticity Preservation
ZHANG Xiang,WANG Wei and XIAO Di.Improved Image Enhancemengt Algorithm Based on Multi-scale Retinex with Chromaticity Preservation[J].Computer Science,2018,45(10):246-249.
Authors:ZHANG Xiang  WANG Wei and XIAO Di
Affiliation:College of Electrical Engineering and Control Science,Nanjing Tech University,Nanjing 211800,China,Aviation Medicine,The Naval Medical Research Institute,Shanghai 200433,China and College of Electrical Engineering and Control Science,Nanjing Tech University,Nanjing 211800,China
Abstract:An improved image enhancement algorithm based on MSRCP(multi-scale Retinex with chromaticity preservation) was proposed to solve the problems of halo artifacts and color distortion.Firstly,the intensity image of the origi-nal image is obtained.Then,the intensity image is smoothed by guided filtering and the illuminance component is estimated.And the reflection component is estimated according to the principle of Retinex.Finally,in the color restoration function,the S curve function is used to obtain the final enhanced image.The experimental results show that this algorithm can effectively solve the phenomenon of halo artifacts and improve the details.The overall color of the enhanced image is consistent with original image.The overall visual effect of the image is improved.
Keywords:Retinex  MSRCP  Image enhancement  Guided filter  S curve function
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