用于目标跟踪的红外图像均衡算法设计与实现  

Design and Implementation of a High-Performance Infrared Image Equalization Algorithm for Enhanced Target Tracking

作　　者：陈力颖[1,2] 李昂阳 赵军发 程传同[3] 梅健 尹睿 Chen Liying;Li Angyang;Zhao Junfa;Cheng Chuantong;Mei Jian;Yin Rui(School of Electronics and Information Engineering,Tiangong University,Tianjin 300387,China;Tianjin Key Laboratory of Photoelectric Detection Technology and System,Tianjin 300387,China;Institute of Semiconductors,Chinese Academy of Sciences,Beijing 100083,China;National Integrated Circuit Innovation Center,Shanghai 201203,China;School of Microelectronics,Fudan University,Shanghai 200433,China)

机构地区：[1]天津工业大学电子与信息工程学院,天津300387 [2]天津市光电检测技术与系统重点实验室,天津300387 [3]中国科学院半导体研究所,北京100083 [4]国家集成电路创新中心,上海201203 [5]复旦大学微电子学院,上海200433

出　　处：《激光与光电子学进展》2025年第2期235-242,共8页Laser & Optoelectronics Progress

基　　金：中国科学院青年创新促进会会员(2022109)。

摘　　要：针对红外相机在进行目标跟踪时由于图像动态范围大、目标及相机高速运动导致拍摄图像经常过亮或过暗的问题,设计了一款高实时、高质量的红外图像均衡算法。该算法通过优化红外相机曝光参数完成图像主体与背景对比度的调节。首先对图像分区,通过分析相邻区域亮度变化,进行图像非连续区域检索,基于检索结果确定图像主体,并针对主体进行加权,统计图像亮度。接着为满足相机小型化需求,将插值法与查表法结合,根据图像亮度均值完成曝光参数的迭代。该算法不仅保证了图像主体清晰度以及红外相机曝光调节速度,而且避免了额外存储单元的需求。经红外相机实测,所提算法平均仅需3.2帧即可完成红外图像均衡化,平均曝光误差为5.15%,具有较好的应用价值。A high-real-time,high-quality infrared image equalization algorithm has been developed to address the frequent brightness or darkness in captured images caused by the image’s large dynamic range and high-speed motion of the targets and cameras during target tracking with infrared cameras.The proposed algorithm adjusts the contrast between the image subject and background by optimizing the exposure parameters of the infrared camera.First,the image is partitioned by analyzing brightness variations in adjacent areas.Then,non-continuous area retrieval is performed to identify the image subject,which is weighted to calculate the image brightness.To support camera miniaturization,the interpolation method is combined with the lookup table method to iteratively adjust the exposure parameters based on the image’s average brightness.This algorithm ensures image subject clarity,speed of infrared camera exposure adjustment,and eliminates the need for additional storage units.Infrared camera testing demonstrates that the proposed algorithm achieves infrared image equalization at an average speed of 3.2 frames per second with an average exposure error of 5.15%,highlighting its practical application value.

关 键 词：红外成像技术 目标跟踪 图像均衡 区域检索 查找表 

分 类 号：TN219[电子电信—物理电子学]