基于改进型Retinex算法的彩色图像增强技术

由于单尺度Retinex算法在处理过程中会产生光照强度问题导致图像细节表达不细致，提出一种改进的基于单尺度Retinex(SSR)算法的 真彩图像增强算法。首先，使用加权最小二乘法对原始彩色图像进行细节增强，然后对原始图像进行优化。对处理后的图像层和细节图像层构造增益系数，并进行重构输出一幅新的合并图像。实验结果表明，所提算法能够有效减少图像中的噪声，并使图像细节和对比度更加突出，亮度增强。相比于其它传统的算法，改进型Retinex算法处理后的图像客观评价指标有大幅度提升，图像增强能力有大幅改善。

Color image enhancement technology based on improved Retinex algorithm

In order to solve the problem of haze phenomenon and image detail expression in single-scale Retinex image enhancement algorithm due to lack of light, a color image enhancement algorithm based on improved single-scale Retinex algorithm is proposed. Firstly, the weighted least square method is used to enhance the details of the original color image. Secondly, optimization of the original image is carried out. The gain coefficient is constructed for the processed image layer and the detail image layer, and a new merged image is reconstructed and output. The experimental results show that the proposed algorithm can effectively remove the haze phenomenon, make the details and contract of the image more prominent, and enhance the brightness. Compared with other traditioanl algorithms, the objective eva- luation index of image processing has been greatly improved, and the image enhancement ability has been significantly improved.