提升五株形小波在多光谱图像融合中的应用

提出一种基于IHS变换和提升五株形小波变换相结合的融合方法，并把它应用于多光谱图像与高分辨图像的融合中。该算法对多光谱图像进行IHS变换，将得到的亮度分量I和高分辨率图像做多尺度提升五株形小波分解，采用不同的融合算子对高低频分量进行融合，对融合后图像进行提升五株形小波重构和IHS逆变换得到融合结果图像，并采用客观性能指标对融合结果图像进行了客观评价。实验结果表明，该方法对多光谱图像和高分辨率图像的融合有较好的融合效果，能从原图像中获得更多的信息，同时又能保持较高的空间分辨率。该方法的融合算法和分解层数的选取，是简便有效的，适用于多光谱图像融合。

Application of lifting quincunx wavelet in multispectral image fusion

A method of image fusion based on IHS transform and lifting quincunx wavelet transform is presented and it is applied in the fusion of multispectral image and panchromatic image.The multispectral image is transformed by IHS transform,multi-resolution lifting quincunx wavelet decomposition of the value component of multispectral image and panchromatic image is performed.Different fusion algorithms are used to the high-frequency parts and the low-frequency part.The fusion result image is obtained by lifting quincunx reconstruction and inverse IHS transform.The fusion performance of the fusion method is evaluated using objective index.The experimental results show that this method has good visual effectiveness in the preservation of spectral quality and spatial resolution information.This fusion method can preserve good spectral information and get more information from the source images.Moreover it can also preserve higher spatial resolution information.It’s fusion algorithms and the selection of decomposition level are simple and effective for multispectral image fusion.