Research on Improved Retinex Traffic Sign Image Enhancement Algorithm

This article proposes an improved Retinex image enhancement algorithm applied in the field of traffic sign recognition through in-depth research in the field of image processing. In the traditional Retinex algorithm, there are often problems such as blurred images, distorted image colors, and foggy weather images when the light is too dark. Improve and optimize the algorithm to effectively improve the recognition ability of traffic sign images. It avoids the phenomenon of images being too dark, low contrast, and foggy in harsh environments, and is superior in maintaining edges, details, and colors.