Chinese Optics Letters, 2008, 6 (2): 02104, Published Online: Mar. 5, 2008
A novel image fusion method using WBCT and PCA Download: 809次
图像融合 小波Contourlet变换 Contourlet变换 主分量分析 100.7410 Wavelets 100.0100 Image processing 100.2000 Digital image processing
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.
Qiguang Miao, Baoshu Wang. A novel image fusion method using WBCT and PCA[J]. Chinese Optics Letters, 2008, 6(2): 02104.