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| Research on Image Fusion with Double Density Dual-Tree Complex Wavelet Transform |
| Yue Jin①②; Yang Ru-liang②; Huan Ruo-hong①② |
①Institute of Electronics, Chinese Academy of Science, Beijing 100190, China;
②Graduate University of the Chinese Academy of Scionces, Beijing 100190, China |
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Abstract Double Density Dual-Tree Complex Wavelet Transform (DDDTCWT) integrates the advantages of double density wavelet, dual tree wavelet and complex wavelet. It has translation invariability and improved directionality. When it is introduced to image fusion, the characteristics of original images are extracted better and more information for fusion is obtained. A novel image fusion method based on DDDTCWT is proposed in this paper. Firstly, the source images are decomposed using DDDTCWT, then the transform coefficients are fused with the fusion regular in the corresponding scales, and finally the fused coefficients are reconstructed to obtain fusion results. The proposed method is successfully used to merge several sets of multi-sensor images with different modalities. The experimental results indicate that the proposed approach can significantly outperform the traditional wavelet-transform-based image fusion method.
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Received: 22 June 2007
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2009, Vol. 31 
