基于融合策略的改进Retinex低照度图像增强算法

Improved Retinex low-light image enhancement algorithm based on fusion strategy

摘要:

针对Retinex算法处理低照度彩色图像出现色彩失真,边缘保持性差等问题,提出一种基于融合策略的改进Retinex低照度图像增强算法。该算法首先在YIQ颜色空间提取亮度分量Y,对其进行MSR算法增强；然后采用高斯-拉普拉斯算子对彩色图像的RGB三个分量进行边缘检测,将其叠加合成后转换成灰度图；最后使用小波变换将两幅图像融合得到新的亮度分量,将其与I、Q分量融合后转回RGB颜色空间,从而获得色彩保真度高,细节清晰的图像。实验结果表明,该方法有效提高了图像边缘细节信息,避免了色彩失真,具有很好的视觉效果。

Abstract:

Aiming at the problem of color distortion and poor edge retention in low-illumination color images processed by Retinex algorithm, an improved Retinex low-illuminance image enhancement algorithm based on fusion strategy is proposed. The algorithm first extracts the brightness component Y in the YIQ color space, and enhances it with the MSR algorithm; then use the Gauss-Laplace operator to perform edge detection on the RGB three components of the color image, and then superimpose them and convert them into grayscale images; finally, the wavelet transform is used to fuse the two images to obtain a new brightness component, which is fused with the I and Q components and then converted back to the RGB color space, so as to obtain an image with high color fidelity and clear details. Experimental results show that this method effectively improves the edge detail information of the image, avoids color distortion, and has a good visual effect.