Fusion of Muitispectrai and Panchromatic Images Based on Biorthogonai Muitiwavelet Transform
基于双正交多小波变换的多光谱与全色图像融合研究

In order to solve the problem of spectral distortion existed in the panchromatic and multispectral images fusion algorithm,a novel algorithm based on the biorthogonal multiwavelet transform and the method of combination of average and selection is presented.First it decomposes the intensity components which obtained by IHS transform of the registered multispectral image and biorthogonal multi-wavelet transform of the panchromatic image.Then the method of combination of average and selection and the local variance rule is separately adopted to obtain new high frequency and low frequency coefficients to enhance the edge information of fused images.Finally these images are reconstructed with composite wavelet coefficients and by performing the inverse IHS transform.The experimental results show that this algorithm can improve the spatial resolution of multispectral image while reducing spectral distortion and still maintaining its edge detail.