基于非下采样轮廓波的多曝光工件图像Retinex增强方法

›› 2012, Vol. ›› Issue (06): 1592-1596.

基于非下采样轮廓波的多曝光工件图像Retinex增强方法

李骜¹, 李一兵¹, 刘丹丹², 杨晓冬¹

1. 哈尔滨工程大学, 信息与通信工程学院, 哈尔滨, 150001;
2. 黑龙江科技学院现代制造加工中心, 哈尔滨 150001

收稿日期:2011-09-29 出版日期:2012-11-01
通讯作者: 李一兵(1967-),男,教授,博士生导师.研究方向:认知无线电,超宽带信号检测与处理,图像处理.E-mail:liyibing@hrbeu.edu.cn E-mail:liyibing@hrbeu.edu.cn
基金资助:
国家自然科学基金项目(50904025);船舶工业国防科技预研项目(10J3.1.6).

Retinex enhancement method of multi-exposure workpiece images based on NSCT

LI Ao¹, LI Yi-bing¹, LIU Dan-dan², YANG Xiao-dong¹

1. Institute of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China;
2. Modern Manufacture Engineering Center, Heilongjiang Institute of Science and Technology, Harbin 150001, China

Received:2011-09-29 Online:2012-11-01

摘要/Abstract

摘要： 针对多曝光工件图像动态范围低、反光面多、易产生过饱和现象等问题,提出了一种针对工件图像序列的Retinex方法。引入光照模型,解决现有方法中没有充分考虑光照条件与曝光时间的缺陷。增强不同曝光时间的LDR(Low dynamic range)图像序列,并将一般的单个图像Retinex处理过程扩展至图像序列,综合序列中各幅图像提供的信息。为了更好地保护边缘信息,还采用具有多方向带通特性的非下采样轮廓波(Non-subsample contourlet transform,NSCT)变换先分解出细节、近似分量子图,再分离近似分量图像的照射、反射分量,从序列中选取各分量图像的最优组合用于增强。试验结果表明:该方法能够有效去除工件图像反光面的过饱和现象,同时提升了图像的视觉动态范围。

关键词: 信息处理技术, 图像增强, 多曝光图像, 非下采样轮廓波, Retinex

Abstract: To overcome the problems in muti-exposure workpiece images, such as Low Dynamic Range (LDR), more reflective surfaces and excessive saturation, we propose a method of Retinex for enhancing the LDR image order, which extends the processing of Retinex on single image to image sequence and synthesizes the information from each image in the sequence. Introducing the illumination model, the proposed method solves the drawback that the traditional algorithm did not consider the influences of the illumination condition and the exposure time sufficiently. In addition, for protecting the edge, we decompose the approximate and detail components by the Nonsubsampled Contourlet Transform (NSCT), which has the band-pass character with multi-direction. Meanwhile, we separate the illumination and reflection components from the low approximate sub-image and select the optimal component combination. The results show that our proposed method not only removes the super-saturation of some reflective panels, but also promotes the visual dynamic range availably.

Key words: information processing technology, image enhancement, multi-exposure images, non-subsampled contourlet, Retinex

中图分类号:

TN911.73

李骜, 李一兵, 刘丹丹, 杨晓冬. 基于非下采样轮廓波的多曝光工件图像Retinex增强方法[J]. , 2012, (06): 1592-1596.

LI Ao, LI Yi-bing, LIU Dan-dan, YANG Xiao-dong. Retinex enhancement method of multi-exposure workpiece images based on NSCT[J]. , 2012, (06): 1592-1596.

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