摘 要：随着计算机技术和硬件能力的提高，计算机视觉处理系统已广泛应用于各类场景中，雾霾等恶劣天气下获取的图像会影响后续图像的处理，进一步导致计算机视觉处理系统性能的降低，因此提高降质图像的质量具有重要意义。文章给出一种结合图像增强和图像复原的处理算法，算法能在不同尺度的残差图像上和基础层上分别进行处理，达到保留图像细节和去雾的目的，并且具有高可控灵活性。
关键词：去雾；大气散射模型；图像增强
DOI:10.19850/j.cnki.2096-4706.2022.02.024
中图分类号：TP391 文献标识码：A 文章编号：2096-4706（2022）02-0096-05
Research on Defogging Algorithm for Single Image
YANG Yang
(College of Computer Science, Sichuan University, Chengdu 610065, China)
Abstract: With the improvement of computer technology and hardware capabilities, computer vision processing system has been widely used in all kinds of scenes, the images obtained in bad weather such as fog and haze will affect the subsequent image processing and further reduce the performance of computer vision processing system. Therefore, it is of great significance to improve the quality of degraded images. This paper presents a processing algorithm combining image enhancement and image restoration. The algorithm can process the residual images of different scales and the basic layer respectively, so as to preserve the image details and remove the fog, and has high controllable flexibility.
Keywords: defogging; atmospheric scattering model; image enhancement
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作者简介：杨洋（1996.03—），女，汉族，四川大竹人，研究生在读，研究方向：图像处理与合成。