A novel image fusion method using WBCT and PCA |
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| Authors: | Qiguang Miao Baoshu Wang |
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| Institution: | [1]School of Computer Science, Xidian University, Xi'an 710071; [2]Information & Communication College, Guilin University of Electronic Technology, Guilin 541004 |
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| Abstract: | A novel image fusion algorithm based on wavelet-based contourlet transform (WBCT)and principal component analysis(PCA)is proposed.The PCA method is adopted for the low-frequency components.Using the proposed algorithm to choose the greater of the active measures,the region consistency test is performed for the high-frequency components.Experiments show that the proposed method works better in preserving the edge and texture information than wavelet transform method and Laplacian pyramid (LP)method do in image fusion.Four indicators for the fusion image are given to compare the proposed method with other methods. |
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| Keywords: | fusion method image Four indicators compare methods Experiments show works better preserving edge texture information wavelet transform Laplacian pyramid region consistency test choose |
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