关键词: 图像融合, 亮度-色度-饱和度（IHS）变换, 主成分分析（PCA）变换, 分数B样条小波

Abstract: Symmetric fractional B-spline wavelet is more superior than traditional wavelets in obtaining the texture information of images due to its approximation properties, which is beneficial for image fusion. A technique based on symmetric fractional B-spline wavelet and PCA（Principal Component Analysis） transform is proposed for the fusion of high resolution panchromatic image and low resolution multispectral image. It performs PCA transform on the two source images to get the principal components. Two groups of approximate and detail coefficients are obtained by applying wavelet decomposition to the two first principal components. An inverse wavelet transform is performed on the new wavelet coefficients that are merged by different rules to generate a new first principal component. It uses the new first principal component and other principal components of the multispectral image to apply an inverse PCA transform to get the fused image. Experimental results testify that the fused image obtained by the proposed method has both high resolution and rich spectrums.

Key words: image fusion, Intensity Hue Saturation（IHS） transform, Principal Component Analysis（PCA） transform, fractional B-spline wavelet