消除光晕现象的快速Retinex图像增强  

A Fast Halo-Free Image Enhancement Method Based on Retinex

作　　者：许欣[1] 陈强[1] 王平安[2] 孙怀江[1] 夏德深[1] 

机构地区：[1]南京理工大学计算机科学与技术学院,南京210094 [2]香港中文大学计算机科学与工程学系,中国香港

出　　处：《计算机辅助设计与图形学学报》2008年第10期1325-1331,共7页Journal of Computer-Aided Design & Computer Graphics

基　　金：国家自然科学基金(60773172);江苏省自然科学基金(BK2006704-2);江苏省博士后基金(AB41158);香港特区政府研究资助局研究项目(CUHK/4185/00E);香港中文大学研究基金(2050345)

摘　　要：由于假设场景中光照是平缓变化的,传统的中心/环绕Retinex图像增强方法在处理高动态范围图像时易在明暗对比强烈处产生光晕现象.提出一种快速Retinex图像增强方法,以模拟人类视觉系统的全局和局部自适应性.首先对原图进行全局动态范围调整,然后使用mean shift滤波进行估计光照,并基于中心/环绕假设消除光照不均影响,在后处理中对图像去除孤立点所占的直方图范围.实验结果表明,该方法能有效地克服光照不均并消除了光晕现象;使用了mean shift加速算法,运行速度快于已有同类方法.Based on the assumption of spatially smooth illuminant, traditional center/surround-based Retinex enhancement methods suffer the existence of halo artifacts. In this article, we propose a fast Retinex image enhancement method that models global and local adaptation of the human visual system. A global dynamic range adjustment is performed first. Then mean shift filtering on the image is carried out in the illuminant estimation step, and the spatial-varying illuminant is eliminated base on the center/surround hypothesis. Outliers at both extremities of the histogram are removed in the post processing step. Experimental results demonstrate that our method efficiently renders high dynamic range images and reduces halo artifacts. An accelerated implementation of mean shift is employed, thus our method is much faster than previous methods.

关 键 词：RETINEX 图像增强 光晕现象 mean SHIFT 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]