Image fusion is a very important research field in remote sensing.Recently developed contourlet transform can offer a much richer set of direct ions and shapes,and thus it is more effective than wavelet in capturing smooth contours and geometric structures in images.A novel method of fusing panchromatic and multispectral remote sensing images is proposed based on contourlet transform.Using the laplacian pyramid(LP)analysis to capture the low frequency information of images,and directional filter bank(DFB)to obtain the high frequency information of images,and using an image fusion scheme based on arithmetical average and plus-power to construct contrast pyramid.Fusion images were obtained through inverse contourlet transform.A laplacian pyramid and directional filter bank(PDFB)are given in this article.On one hand,with the proposed scheme,the contourlet transform as a new mathematical tool is introduced to remote sensing image fusion area.On the other hand,the algorithm is used QuickBird image experimentation.Besides,using information entropy,distorted tolerance,difference index,correlation coefficient,standard difference etc to evaluate and analyze the fusion results.The experimental results show that the proposed method can effectively retain spectral information.It can also improve spatial resolution and spatial information of multispectral images.
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