摘要
在非均匀光照下获得的图像往往具有高动态范围。大多数现有的全局对比度增强算法对此种图像效果并不好。一种简化的对数变换公式被提出来解决这一问题,更进一步子块部分重叠方法也被采纳进来实现局部的对比度增强。为了达到优化的目的,两种对比度测度用来寻找优化的变换参数。这些方法合并成一种新的算法POSLT(子块部分重叠的对数变换)。POSLT尽管计算复杂性比较高,但是展示出了良好的性能和可控性。实验结果也显示出了该算法在对比度增强中的局部适应性,有力支持了POSLT。
Most existing global contrast enhancement algorithms can not deal with high dynamic range images which are often under non-uniform illumination.Thus a simplified logarithmic transformation equation has been proposed to meet this demand.Furthermore a partially overlapped sub-block method is also adopted to perform local contrast enhancement.For purpose of optimization,two contrast measures are used for finding optimal transformation parameters.They merge into a new algorithm,called POSLT（Partially Overlapped Sub-block Logarithmic Transformation）.POSLT exhibits good performance and controllability even if it has high computational complexity.Experimental results show its local adaptation for contrast enhancement and give firmly support to POSLT.
出处
《计算机工程与应用》
CSCD
北大核心
2011年第9期196-199,共4页
Computer Engineering and Applications
基金
博士后科学基金项目(No.20100471589)
陕西省自然科学基础研究计划项目(No.2009JQ8009)
交通部西部交通建设科技项目(No.200831881264)~~
关键词
对比度增强
高动态范围图像
对数变换
对比度测度
子块
contrast enhancement
high dynamic range image
logarithmic transformation
contrast measure
sub-block
