CAJ | 학술논문

提出了一种基于区域特征的结合IHS变换和小波变换的图像融合算法,首先分别对多光谱图像和高分辨率全色图像进行IHS变换和直方图匹配,对I分量和调整后的高分辨率图像进行小波分解,然后对不同频率分量进行融合时引入区域特征准则,低频部分采用加权平均算子融合法,高频部分采用改进的区域方差加权融合法,最后结合主观判断和客观定量分析验证该算法,实验结果表明该算法的融合图像的质量要优于传统的IHS变换法和小波变换法。
제출료일충기우구역특정적결합IHS변환화소파변환적도상융합산법,수선분별대다광보도상화고분변솔전색도상진행IHS변환화직방도필배,대I분량화조정후적고분변솔도상진행소파분해,연후대불동빈솔분량진행융합시인입구역특정준칙,저빈부분채용가권평균산자융합법,고빈부분채용개진적구역방차가권융합법,최후결합주관판단화객관정량분석험증해산법,실험결과표명해산법적융합도상적질량요우우전통적IHS변환법화소파변환법。
An image fusion algorithm based on regional features and IHS wavelet transform is proposed.Firstly,having IHS transform for the multispectral image and having histogram matching for the high resolution image,then introducing regional features criterion when the different frequency components are treated after wavelet transform.Low-frequency part using the weighted averaging operator method,high-frequency part using the improved weighted regional variance method.Subjective judgment and objective analysis both show that the image quality of this paper is better than the one of IHS transform or wavelet transform.