红外技术, 2019, 41 (4): 347, 网络出版: 2019-05-10
一种基于大气散射模型和 Retinex的红外图像去雾算法
Infrared Image Defogging Algorithm Based on Atmospheric Scattering Model and Retinex
摘要
基于红外图像和可见光图像在有雾天气下退化过程中的相似性,可以使用大气散射模型对红外图像进行图像复原。但是图像在去雾复原处理后常常会有对比度低,细节不明显的特点,不利于人眼直接观察。针对这一情况,使用 Retinex对去雾后的图像进行对比度增强。经过这两个算法处理后可以提高红外图像的对比度,突出其细节,提高其信噪比,并且具有良好的视觉效果。对算法的改进可以在计算处理速度和算法处理的效果上找到一个平衡点,为后期的嵌入式平台实现实时的视频去雾打下基础。
Abstract
According to the similarities between the image degradation in infrared and visible light images in foggy weather, we can defog foggy infrared images by using an atmospheric scattering model. However, after the image is defogged, the image often has low contrast and inconspicuous details, which is not conducive to direct observation by humans. To combat this, the Retinex algorithm was used to enhance the contrast of the image after defogging. Processing the image with these two methods can improve its contrast, highlight its details, improve the signal to noise ratio, and have a good visual effect. Improvements to the algorithm can be aimed towards balancing the calculation speed and the processing effect, while laying the foundation for real-time video defogging in embedded platforms in the future.
董浩伟, 陈洁. 一种基于大气散射模型和 Retinex的红外图像去雾算法[J]. 红外技术, 2019, 41(4): 347. DONG Haowei, CHEN Jie. Infrared Image Defogging Algorithm Based on Atmospheric Scattering Model and Retinex[J]. Infrared Technology, 2019, 41(4): 347.