一种基于改进Mean Shift滤波的Retinex彩色图像增强算法

计算机科学 ›› 2014, Vol. 41 ›› Issue (Z6): 160-163.

一种基于改进Mean Shift滤波的Retinex彩色图像增强算法

周扬,孙瑾,牛犇

南京航空航天大学民航学院南京211106南京航空航天大学飞行模拟与先进培训工程技术研究中心南京211106;南京航空航天大学民航学院南京211106南京航空航天大学飞行模拟与先进培训工程技术研究中心南京211106;南京航空航天大学民航学院南京211106南京航空航天大学飞行模拟与先进培训工程技术研究中心南京211106

出版日期:2018-11-14 发布日期:2018-11-14
基金资助:
本文受江苏省普通高校研究生科研创新计划资助

Retinex-based Color Image Enhancement Algorithm by Improved Mean Shift Filtering

ZHOU Yang,SUN Jin and NIU Ben

Online:2018-11-14 Published:2018-11-14

摘要/Abstract

摘要： 传统的中心/环绕Retinex图像增强方法在处理低对比度彩色图像时,易产生光晕现象和色彩失真。提出一种基于改进Mean Shift滤波的Retinex方法,首先采用主元分析法(PCA)将低对比度图像分解为亮度和色彩两部分,通过改进现有Mean Shift滤波方法实现光照分量的自适应增强,并对色彩通道进行恢复,最后在全局分析基础上进行图像补偿。实验结果证明,该方法能有效抑制光晕现象,并保持色彩一致性,运行速度也优于同类自适应方法。

关键词: Retinex,图像增强,Mean Shift,主元分析法中图法分类号TP391.4文献标识码A

Abstract: To avoid the halo artifacts and color distortion by the traditional center/surround-based Retinex enhancement methods,this paper proposed a Retinex method based on improved Mean Shift filtering．Firstly,low contrast image is decomposed into two parts:luminance and chrominance by principal component analysis (PCA)．Improved Mean Shift filtering is introduced to get the enhancement of luminance adaptively．In addition,color image inpainting is performed independently according to Meylan method.Finally,image compensation is completed based on the global analysis．The experimental results show that the proposed method can effectively overcome the halo artifacts while maintaining color consistency when dealing with low contrast images,and speed up the process comparing with the similar adaptive methods.

Key words: Retinex,Image enhancement,Mean shift,Principal component analysis

周扬,孙瑾,牛犇. 一种基于改进Mean Shift滤波的Retinex彩色图像增强算法[J]. 计算机科学, 2014, 41(Z6): 160-163. https://doi.org/

ZHOU Yang,SUN Jin and NIU Ben. Retinex-based Color Image Enhancement Algorithm by Improved Mean Shift Filtering[J]. Computer Science, 2014, 41(Z6): 160-163. https://doi.org/

参考文献

[1] Land E H,Meccann J．Lightness and Retinex theory [J].J Opt Soc Amer,1971,1(1):1-11
[2] Land E H．An alternative technique for the computation of the designator in the Retinex theory of color vision [J].Proceedings of the National Academy of Science of the United States of America,1986,3(10):3078-3080
[3] Jobson D J,Rahman Z,Woodell G A．Properties and performance of a center/surround retinex [J]．IEEE Tran．on Image Processing,1997,6(3):451-462
[4] Jobson D J,Rahman Z,Woodell G A．A Multiscale Retinex for bridging the gap between color images and the human observation of scences [J].IEEE Trans．on Image Processing,1997,6(7):965-976
[5] Elad M．Retinex by two bilateral filters [C]∥5th International Conference on Scale-Sace and PDE Methods in Computer Vision．Hofgeismar:Springer,2005:217-229
[6] Meylan L,Susstrunk S.High dynamic range image renderingwith a retinex-based adaptive filter [J]．IEEE Transactions on Image Processing,2006,5(9):2820-2830
[7] Li Wu-jing,Gu Bo,Huang Jiang-tao,et al．Novel Retinex algorithm by interpolation and adaptive noise suppression [J]．J．Cent．South Univ．,2012,9:2541-2547
[8] 许欣,陈强,王平安,等．消除光晕现象的快速Retinex图像增强 [J].计算机辅助设计与图学学报,2008,20(10):1325-1331
[9] 许欣,陈强,王平安,等．快速Retinex彩色图像增强 [J].计算机工程与应用,2010,6(5):4-6
[10] 赵蓝飞,席志红.基于Mean Shift的光晕抑制算法[J].系统工程与电子技术,2013,35(7):1558-1563
[11] Han H,Sohn K．Automatic Illumination and Color Compensation Using Mean Shift and Sigma Filter [J]．IEEE Transactions on Consumer Electronics,2009,5(3):978-986
[12] Sobol R．Improving the Retinex algorithm for rendering wide dynamic range photographs [J]．Electron．Imag.,2004,13(1):65-74
[13] 秦旭佳,王慧玲,杜轶诚,等.HSV色彩空间的Retinex结构光图像增强算法[J].计算机辅助设计与图形学学报,2013,25(4):488-493
[14] Buchsbaum G,Gottschalk A．Trichromacy,opponent colourscoding and optimum colour information transmission in the retina[J]．Roy．Soc．Lond．B,Biol．Sci.,1983,0:89-113

Metrics

Viewed

Full text

Abstract

Cited

Shared

Discussed