基于Retinex理论的新型遥感图像增强算法

针对遥感图像视觉存在对比度差,分辨率低的缺点,以及传统的Retinex算法在对图像增强时往往会出现色彩恢复不协调,呈现泛白发灰现象,提出了一种多尺度Retinex算法与直方图均衡化相结合的新型遥感图像增强算法。首先对多尺度Retinex算法进行非线性全局改进,用于增强HSV色彩空间中的V分量,然后用直方图均衡化方法对RGB空间中三分量做同步增强处理。实验结果表明:与多尺度Retinex算法相比,算法增强后图像的均值可达到127,信息熵可提高29.5%,而且算法有效地解决了图像色彩恢复不协调和泛白发灰现象。

New Enhancement Algorithm for Remote Sensing Image based on Retinex Theory

In view of such problems as the poor contrast,low resolution in remote sensing image,and to deal with the illumination distribute inharmonious and the "graying out" phenomenon existing in traditional Retinex remote image enhancement algorithms,a new remote sensing image enhancement algorithm based on multi-scale Retinex and histogram equalization is proposed in this paper.Firstly,the nonlinear global improvement of multi-scale Retinex algorithm is used to enhance V component in HSV color space.Then,the three components of RGB space will be synchronous enhanced processing with histogram equalization method.The experimental results show that images entropy increased by 29.5% compared with the multi-scale Retinex algorithms.It also shows that the algorithm both can restore the remote sensing image illumination and solve the "graying out" phenomenon.