摘要
针对夜景图像对比度增强的特点,提出一种亮度保持的夜景图像增强算法。根据平均亮度将夜景图像递归分解为一系列不同灰度级范围的子图像,然后对每个子图像在其灰度级范围内进行均衡。实验结果表明,该算法在充分扩展图像灰度级动态范围的同时,可以通过递归深度的选择控制图像亮度的变化,使增强后的夜景图像显得自然与真实。
The paper presents a new contrast enhancement algorithm for dealing with night scene images in order to obtain scalable brightness preservation. The input image is separated recursively into several sub-images with different gray levels based on their mean, and then each sub-image is equalized respectively within their gray levels. Simulation results show that, with the new algorithm, the dynamic gray level of the night scene image can be fully stretched and controllable brightness preservation can also be achieved by selecting the number of recursive separation. As a result, the output image looks more natural and realistic than that by any other method.
出处
《合肥工业大学学报（自然科学版）》
CAS
CSCD
北大核心
2007年第9期1083-1086,共4页
Journal of Hefei University of Technology：Natural Science
基金
国家自然科学基金资助项目(60575023)
安徽省高校省级自然科学研究重点资助项目(kj2007A122zc)
安徽省高校青年教师科研计划资助项目(2006jq1206)
关键词
夜景图像
对比度增强
直方图均衡
亮度保持
night scene image
contrast enhancement
histogram equalization
brightness preservation
作者简介
江巨浪（1967-），男，安徽潜山人，安庆师范学院副教授．
