基于DDE技术分析的红外图像细节增强算法  

Digital Image Detail Enhancement Algorithm Based on DDE Technology

作　　者：董静[1] 

机构地区：[1]华中光电技术研究所-武汉光电国家实验室,湖北武汉430073

出　　处：《光学与光电技术》2012年第5期51-53,共3页Optics & Optoelectronic Technology

摘　　要：在光电设备中,高位宽红外探测器由于具有高灵敏度、低噪声的特点而得到广泛应用。而通常的显示设备或快速处理只要求8位数据宽度,所以需要将高位宽的图像数据压缩至8位位宽。但是如果压缩方法处理不当,可能会造成原有信息丢失,在显示图像中表现为图像细节的损失。通过对FLIR公司数字图像细节增强(DDE)技术的分析,比较了DDE技术与以往常用红外图像动态范围压缩算法的区别,总结并提出了符合DDE思想的红外图像动态范围压缩细节增强算法,该算法在全面增强图像细节的同时能够抑制图像背景中的杂波,增强弱小目标,既满足图像显示的视觉效果,又有利于在图像上进行目标提取。High bit wide detectors are widely used in photoelectric device because they have high sensitivity and low noise. But usually the display dcvice demands 8 bits data, so high bit wide data must be compressed to low bit wide data. If the compression method is improper, the information will be lost, and the details of image will be lost in image showing. FLIR provided a new technology way to solve this problem. In this paper, the DDE（Digital Detail Enhancement）technology of FLIR is analyzed, and compared with other commonly used algorithm. A dynamic range compression and digital detail en hancement algorithm of infrared image is provided in this paper. The algorithm accords with the DDE technology of FLIR. It enhances all details equally, regardless of the temperature range that they happen to be in. The algorithm also removes clul- ter of image background and enhances small dim targets. It can achieve visual effect in image display and it is in favour of target extraction.

关 键 词：红外图像 灰度动态范围压缩 细节增强 直方图均衡 直方图划分 

分 类 号：TN911.73[电子电信—通信与信息系统]