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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Guangqiu Chen Yinhan Gao |
| Copyright Year | 2012 |
| Description | Author affiliation: Center of Test Science, Jilin University, Changchun, China (Yinhan Gao) || College of Instrumentation & Electrical Engineering, JiLin University, Changchun, China (Guangqiu Chen) |
| Abstract | Double-density Dual-tree Complex Wavelet transform is introduced to image fusion based on multi-resolution, images are decomposed by double-density dual-tree complex wavelet transform with multi-level, multi-direction and shift-invariance and according to characters of low and high frequency coefficients respectively, different combination rules are adopted to fuse images and composite coefficients are reconstructed by double-density dual-tree complex wavelet inverse transform. Some fusion experiments are done by several sets of images with different modalities and objective performance assessments are fulfilled to evaluate fusion results. The experimental results indicate that the proposed approach can significantly outperform the traditional image fusion method based on Laplacian pyramid and discrete wavelet transform. |
| Starting Page | 1864 |
| Ending Page | 1868 |
| File Size | 1323898 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781467300254 |
| e-ISBN | 9781467300247 |
| DOI | 10.1109/FSKD.2012.6233906 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-05-29 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Objective performance assessment image fusion Filter banks Combination rule Finite impulse response filter Multi-resolution Discrete wavelet transforms Approximation methods Image fusion Double-density dual-tree complex wavelet transform |
| Content Type | Text |
| Resource Type | Article |
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