基于改进型Retinex算法的雾天图像增强技术

为增强雾天图像的对比度及颜色和亮度恒常性，提出了一种改进型Retinex算法雾天图像增强算法。使用改进的双边滤波器作为滤波函数，在保持边缘信息的同时去除噪声的干扰；并使用S型函数曲线对Retinex算法中对数域相减去除入射光分量的图像进行颜色恢复处理，增强整幅图像的对比度和感知特性，还原图像的色彩信息。实验结果表明，所提的改进算法能有效提高雾天图像的清晰度和对比度，相较原雾天图像清晰度提升约200%，标准差提升约110%，信息熵提升约10%。同时，可保持更加真实鲜艳的图像颜色，计算复杂度较低，满足实时性要求。 

Foggy image enhancement technology based on improved Retinex algorithm

In order to enhance the contrast, color and brightness constancy of foggy images, an improved Retinex algorithm of foggy image enhancement is proposed. The algorithm uses an improved bilateral filter as a filter function to remove the noise interference while maintaining the edge information. It uses the S-shape function curve to restore image color by subtracting the incident light component from the logarithmic domain in Retinex algorithm, enhances the contrast and the perceptual characteristics of the whole image, and restores the color information of the image. The experimental results show that the improved algorithm proposed in this paper can effectively improve the clarity and contrast of the foggy image. Compared with the original foggy image, the image clarity is raised by about 200%, the standard deviation is raised by about 110%, and the information entropy is raised by about 10%. At the same time, it can maintain more realistic color information, and the computational complexity is low, which meets the real-time requirements.