基于小波变换的低对比度图像增强方法

Approach of Low-contrast Image Enhancement Based on Wavelet Transform

传统的图像增强方法对于光照不足或不均匀的图像处理效果不佳,而且还存在噪声增强的问题。文章提出了一种基于小波变换的低对比度图像增强算法,对小波变换后的高频系数进行去噪、增强,对低频系数进行多尺度Retinex增强,既作了图像动态范围压缩,又较好地保证了图像的色感一致性。实验结果表明,该算法效果较好,可以有效增强图像的细节信息,减小图像的噪声,改善图像的视觉效果。

The traditional image enhancement methods have poor processing effect on the images of light scarcity or non-uniformity, and there is also the problem of noise enhancing. We present an enhancement algorithm based on wavelet transform for low-eontrast image, it denoises and enhances the high-frequency coefficients obtained through wavelet transform, and enhances the low-frequency coefficients with multi-scale Retinex, which not only conducts dynamic range compression but also ensures color consistency well. The experiment results show that the algorithm has good effect, can effectively enhance the detail information of image, reduce image noise and improve the visual effect of image.