基于分层最大熵的航拍图像增强  

The aerial image enhancement algorithm based on histogram specification induced by the adaptive function

作　　者：赵凡[1,2] 张葆[1] 赵建[1] 曲锋[1] 

机构地区：[1]中国科学院长春光学精密机械与物理研究所,吉林长春130033 [2]中国科学院大学,北京100049

出　　处：《光电子．激光》2015年第1期192-198,共7页Journal of Optoelectronics·Laser

基　　金：中科院长春机所重大创新(Y3CX1SS14C);中科院航空光学成像与测量重点实验室基金(Y3HC1SR141)资助项目

摘　　要：针对恶劣的天气条件使航拍图像的对比度低、细节模糊的问题,提出了一种基于分层最大熵的图像增强算法。首先将图像的直方图平均分割成4个子层;然后根据分割后子层的特征求取每个子层的自适应函数;最后根据该函数完成每个子层的规定化处理。实验结果表明,经过本文算法处理后图像的对比度得到了提高,同时图像的细节和纹理信息也得到了增强。The harsh weather conditions cause some problems such as low contrast of the aerial image and missing details. In this paper,we propose an algorithm of histogram specification based on the adaptive function to enhance aerial image. In this method, firstly the histogram is divided into four sub-layers e qually,and then according to the probability density distribution, we will re-map gray value range of sublayers to complete the expansion of the dynamic range, thereby increasing the contrast of the image. In order to enhance the image details better,we maximize entropy under the constraint of constant brightness in each sub-layer. Experimental results show that the image contrast using the proposed algorithm has been increased,while the image detail and texture information have also been enhanced.

关 键 词：子层分割 自适应函数 直方图规定化 图像增强 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]