基于双平台直方图的红外图像增强算法  

New enhancement algorithm for infrared image based on double plateaus histogram

作　　者：宋岩峰[1] 邵晓鹏[1] 徐军[1] 

机构地区：[1]西安电子科技大学技术物理学院,陕西西安710071

出　　处：《红外与激光工程》2008年第2期308-311,共4页Infrared and Laser Engineering

基　　金：国家自然科学基金资助项目(60407012)

摘　　要：针对红外图像特别是红外弱小目标图像的特点,提出了一种基于双平台的直方图均衡算法。在对统计直方图设置两个不同的平台阈值的基础上,对修改后的直方图进行均衡化处理,然后对得到的图像进行灰度间距上的均衡化处理。算法中的上限平台阈值对背景和噪声进行了适当抑制,下限平台阈值对小目标和细节进行了适当放大,从而克服了一般直方图均衡化在对红外图像增强时的缺点。相对单平台直方图的均衡算法,能够增强图像整体效果,同时较好地保持了图像细节。The characteristics of the infrared dim-small targets images were analyzed. A new contrast enhancement algorithm was presented based on double plateaus histogram equalization. By setting a higher threshold value as the upper limit, the algorithm could constrain the background and noises. By setting a lower threshold value as the lower limit, the algorithm could magnify the dim-small targets and the details of the image. Then, the gray intervals of the histogram were equalized. The disadvantages of histogram equalization were overcame with the proposed method. Compared with the algorithm based on single plateau histogram, the new method can enhance image contrast, and preserve image detail simultaneously.

关 键 词：红外图像 弱小目标 图像增强 双平台直方图均衡化 

分 类 号：TN911.73[电子电信—通信与信息系统]