基于路径的Retinex算法在红外图像增强中的应用

Application of Retinex Algorithm Based on Path in the Enhancement of Infrared Images

摘要:

为了方便红外目标的检测、识别等后续处理,针对传统红外图像增强算法存在的图像细节增强能力差,视觉效果模糊的问题,提出一种基于Retinex理论的红外图像增强算法.该算法利用固定路径获取反射分量的方法,对整体偏暗的红外图像目标进行增强处理.仿真结果表明,该方法比单尺度Retinex和多尺度Retinex算法更能增强红外图像的细节信息,有效改善红外图像的视觉效果.

Abstract:

In order to facilitate the detection,identification and other follow-up treatment of infrared targets,as traditional infrared image enhancement algorithm presents such problems as poor enhancement of the image detail and blurred visual effect,thus an enhancement algorithm for infrared images based on Retinex theory was proposed.The algorithm can obtain the reflected component by fixing the path to enhance the targets of infrared images which are darker overall.The simulation results show that this method can enhance the image detail better than Single Scale Retinex and Multi Scale Retinex algorithm,and effectively improve the visual effect of infrared images.