CAJ | 학술논문

为了同时提高多光谱图像与全色图像融合的空间分辨率和保留较好的图像光谱性，文章提出了一种基于Curvelet变换的图像融合新方法。首先对多光谱图像进行HIS变换，获得亮度 I分量，对全色图像和亮度分量 I进行直方图匹配，再对 I分量进行平滑滤波；然后对全色图像与 I分量进行Curvelet分解，分别得到低频与高频系数，对低频子带系数的融合规则采用改进的区域方差加权分析法，对高频子带系数采用拉普拉斯能量和算子结合改进的加权平均的融合规则；最后进行Curvelet逆变换和 HIS逆变换得到融合图像。仿真实验得到了较好的客观评价数据和视觉效果。
위료동시제고다광보도상여전색도상융합적공간분변솔화보류교호적도상광보성，문장제출료일충기우Curvelet변환적도상융합신방법。수선대다광보도상진행HIS변환，획득량도 I분량，대전색도상화량도분량 I진행직방도필배，재대 I분량진행평활려파；연후대전색도상여 I분량진행Curvelet분해，분별득도저빈여고빈계수，대저빈자대계수적융합규칙채용개진적구역방차가권분석법，대고빈자대계수채용랍보랍사능량화산자결합개진적가권평균적융합규칙；최후진행Curvelet역변환화 HIS역변환득도융합도상。방진실험득도료교호적객관평개수거화시각효과。
In order to simultaneously improve the spatial resolution of multispectral image and panchro‐matic image fusion and keep good image spectrum ,a new image fusion method based on curvelet transform is proposed .Firstly ,HIS transform is applied in multispectral image for getting intensity component I ,histogram matching for panchromatic image and intensity component I is done ,and smoothing filtering of the intensity component I is also done .Secondly ,the curvelet decomposition of the panchromatic image and intensity component I is conducted for getting low frequency and high fre‐quency coefficients respectively ,the improved regional variance weighting analysis method is used for the fusion rule of the low frequency sub‐band coefficients ,and the sum‐modified Laplacian combined with improved weighted average for the high frequency sub‐band coefficients .Finally ,the fused image is obtained by curvelet inverse transform and HIS inverse transform .The simulation results show the better objective evaluation data and visual effect .