CAJ | 학술논문

多尺度Retinex算法是近年来常用的图像增强方法之一，针对该方法在处理遥感图像时存在过增强、灰度化和色彩失真等不足，结合I阶巴特沃斯函数良好的滤波特性，提出了一种改进多尺度Retinex理论的遥感图像增强方法。首先，采用I阶巴特沃斯函数取代多尺度Retinex中的高斯环绕函数，对降质的遥感图像R、G、B三个分量分别进行滤波操作；然后对滤波后的各通道下不同尺度的亮度图像分别进行加权和归一化处理，得到增强后的R、G、B三个分量；最后将三通道分量进行合成显示，得到最终的增强图像。文中采用中巴资源卫星（CBER-02）多光谱图像和日本ALOS卫星多光谱图像进行实验，结果表明，与传统的多尺度Retinex理论增强方法相比，改进后的方法在抑制图像灰度化、增强图像空间细节和降低图像颜色失真等方面有更好的实验效果。
다척도Retinex산법시근년래상용적도상증강방법지일，침대해방법재처리요감도상시존재과증강、회도화화색채실진등불족，결합I계파특옥사함수량호적려파특성，제출료일충개진다척도Retinex이론적요감도상증강방법。수선，채용I계파특옥사함수취대다척도Retinex중적고사배요함수，대강질적요감도상R、G、B삼개분량분별진행려파조작；연후대려파후적각통도하불동척도적량도도상분별진행가권화귀일화처리，득도증강후적R、G、B삼개분량；최후장삼통도분량진행합성현시，득도최종적증강도상。문중채용중파자원위성（CBER-02）다광보도상화일본ALOS위성다광보도상진행실험，결과표명，여전통적다척도Retinex이론증강방법상비，개진후적방법재억제도상회도화、증강도상공간세절화강저도상안색실진등방면유경호적실험효과。
Multi-scale Retinex(MSR)algorithm is a common method for image enhancement .However , the MSR has the disadvantages of over-enhancement ,gradation and color distortion in dealing with remote sensing images .Combined with the good filter characteristics of the I order Butterworth filter ,an improved MSR method for image enhancement was proposed .Firstly ,the Gaussian surround function in MSR was replaced by the I order Butterworth function .Three components R ,G and B from the degraded remote sensing image were filtered respectively .And then the luminance images at different scales for each channel were weighted and normalized ,obtaining enhanced R ,G and B components .Finally ,the enhanced image was obtained by synthesizing the three components .Multispectral images from the CBER-02 and ALOS satellites were tested ,Experimental results show that the improved MSR outperformed the traditional MSR in suppressing image gradation ,enhancing image space details and reducing color distortion .