高动态范围红外成像自适应压缩显示算法  

Adaptive Compression Display Algorithm for High-Dynamic Range Infrared Imaging

作　　者：白俊奇[1,2] 郑坚[1] 苗锋[1] 朱伟[1,2] 

机构地区：[1]中国电子科技集团公司第二十八研究所,南京210007 [2]空中交通管理系统与技术国家重点实验室,南京210007

出　　处：《指挥信息系统与技术》2017年第1期75-78,共4页Command Information System and Technology

摘　　要：针对红外输入信号动态范围和输出显示不匹配问题,提出了一种高动态范围红外成像自适应压缩显示算法。通过建立背景复杂度模型,计算图像邻域信息熵(NIE),将相同灰度级的NIE均值归一化结果作为统计直方图的动态调节系数,从而消除传统灰度范围压缩引起的背景噪声放大缺陷。仿真试验结果表明,该算法能有效提高红外图像对比度,抑制背景噪声,同时突出图像细节信息。Aimed at the mismatch problem between the dynamic range of the infrared input signal and the output display, an adaptive compression display algorithm for high-dynamic range infra-red imaging is proposed. With the established background complexity model, the neighborhood information entropy （NIE） of the image is computed, and the normalized average NIE from the same gray scale level is taken as the dynamic adjustment factor of the statistic histograms. Thus, the defect of background noise magnification resulted from traditional compression in the gray scale range is eliminated. Simulation experimental results show that the algorithm can enhance the infrared image contrast, constrain the background noise and strengthen image details at the same time.

关 键 词：红外成像 动态范围 背景复杂度 图像对比度 

分 类 号：TN911.73[电子电信—通信与信息系统]