MSR在红外图像增强中的应用

Application of MSR in Infrared Image Enhancement

介绍了一种红外图像增强方法.该方法针对红外图像具有大动态范围的特点,借鉴了可见光图像成像机理,根据Retinex理论,采用MSR算法来消除天气对红外图像的退化影响,以达到图像增强的目的;同时针对MSR输出图像偏暗,提出了对比度正态截取拉伸.仿真结果表明,正态截取拉伸MSR可以有效提高红外图像亮度和对比度,且具有较好的视觉效果.

One enhanced method is introduced for infrared image. Borrowing ideas from the principles of visible light image,this method is adopted to aim at the wide dynamic range of infrared image. Based on the theory of Retinex, the multi-scale Retinex （MSR） algorithm is employed to remove the weather degradation of infrared image, and the contrast of the image is enhanced. For the intensity of the MSR processing output is weak, one normal clipped brightness. The simulation demonstrate that the both of the contrast and the lightness, and quite stretching method is deployed to improve the output normal clipped stretching MSR can improve effectively satisfying visual effects have been achieved.