|Table of Contents|

Image enhancement algorithm based on improved Retinex

《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

Issue:
2016年01期
Page:
24-
Research Field:
Publishing date:

Info

Title:
Image enhancement algorithm based on improved Retinex
Author(s):
Zhang XuefengZhao Li
College of Information Engineering,Xinyang College of Agriculture and Forestry,Xinyang 464000,China
Keywords:
illumination change image enhancement Retinex algorithm dynamic range compression light components bilateral filtering algorithm halo artifacts
PACS:
TP391
DOI:
-
Abstract:
In order to improve the effect of image enhancement,a new image enhancement algorithm based on improved Retinex is proposed.In this algorithm,the original image is decomposed by the multi-scale Retinex(MSR)algorithm to obtain the illumination component and the reflection component.The image is processed by the gamma ray transform and modified by a linear stretching method while the reflection component image is processed using the bilateral filtering algorithm.The light component and the reflection component of images are combined to obtain the enhanced image,and the performance is tested by the simulation experiments.The experimental results show that the proposed image enhancement algorithm can improve the visual quality of images,retain more abundant details,effectively eliminating the “halo artifacts” and being more conducive to the subsequent image processing.

References:

[1] Nikola B,Svcn L.Light random sprays Retinex:exploiting the noisy illumination estimation[J].IEEE Signal Processing Letters,2013,20(12):1240-1243.
[2]Wang I.Q,Xiao L,Liu H Y,et al.Variation Bayesian method for Retinex[J].IEEE Transactions on Image Processing,2015,23(8):3381-3396..
[3]蔡式东,杨芳.基于直方图修正的图像增强算法[J].光电子技术,2012,32(3):155-159.

Cai Shidong,Yang Fang.Image enhancement based on histogram modification[J].Optoelectronic Technology,2012,32(3):155-159.
[4]Gafar I M,Abdul G,Masood S A.Satellite image resolution enhancement using dual-tree complex wavelet transform and nonlocal means[J].IEEE Geoscience and Remote Sensing Letter,2013,10(3):451-455.
[5]Cheng Yong,Hou Yingkun,Zhao Chunxia,et al.Robust face recognition based on illumination invariant in nonsubsampled contourlet transform domain[J].Neurocomputing,2010,73(10):2217-2224.
[6]Eunsung I,Sangjin K,Wonscok K.Contrast enhancement using dominant brightness level analysis and adaptive intensity transformation for remote sensing image[J].IEEE Geoscience and Remote Semsimg Letter,2013,10(1):62-66.
[7]Tan X,Triggs B.Enhanced local texture feature sets for face recognition under difficult lighting conditions[J].IEEE Transactions on Image Processing,2010,19(6):1635-1650.
[8]高银,云利军,石俊生,等.基于四阶PDE模型的暗原色理论雾天图像增强算法[J].南京理工大学学报,2015,39(5):544-549.
Gao Yin,Yun Lijun,Shi Junsheng,et al.Enhancement dark channel theory algorithm of fog image based on fourth-order PDE model[J].Journal of Nanjing University of Science and Technology,2015,39(5):544-549.
[9]李福文,金伟其,陈伟力,等.基于Retinex模型的彩色图像全局增强算法[J].北京理工大学学报,2010,30(8):947-951.
Li Fuwen,Jin Weiqi,Chen Weili,et al.Global color image enhancement algorithm based on Retinex model[J].Transactions of Beijing Institute of Technology,2010,30(8):947-951.
[10]宋书林,张彦,王宪,等.基于曲波变换和Retinex人脸光照处理算法[J].计算机工程与应用,2011,47(2):15-18.
Song Shulin,Zhang Yan,Wang Xian,et al.Illumination processing method based on curvelet and Retinex computer engineering and applications[J].Computer Engineering and Applications,2011,47(2):15-18.
[11]汪荣贵,张新龙.基于Retinex理论的压缩域图像增强方法研究[J].计算机研究与发展,2011,48(2):259-270.
Wang Ronggui,Zhang Xinlong.Image enhancement in the compressed domain based on Retinex theory[J].Journal of Computer Research and Development,2011,48(2):259-270.
[12]舒婷,刘耀峰,邓波,等.基于子带分解的MSR雾天图像增强算法[J].吉首大学学报(自然科学版),2015,36(1):40-46.
Shu Ting,Liu Yaofeng,Deng Bo,et al.Multi-scale Retinex algorithm for the foggy image enhancement based on sub-band decomposition[J].Journal oI Jishou Univ-ersity(Natural Science Edition),2015,36(1):40-46.
[13]李毅,张云峰,李宁,等.基于子带分解多尺度 Retinex的红外图像自适应细节增强[J].中国激光,2015,42(5):1-9.
Li Yi,Zhang Yunfeng,Li Ning,et al.Adaptive detail enhancement for infrared image based on subband decomposed multi-scale Retinex[J].Chinese Journal of Lasers,2015,42(5):1-9.
[14]王小鹏,陈璐,魏冲冲,等.一种改进的Retinex彩色图像增强方法[J].兰州交通大学学报,2015,34(1):55-59.
Wang Xiaopeng,Chen Lu,Wei Chongchong,et al.Color image enhancement based on improved Retinex algorithm[J].Journal of Lanzhou Jiaotong University,2015,34(1):55-59.

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Last Update: 2016-02-29