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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yu-Qiu Sun Min-sung Koh Rodriguez-Marek, E. |
| Copyright Year | 2011 |
| Description | Author affiliation: School of Computing and Engineering Sciences, Eastern Washington University, Cheney, 99004, USA (Min-sung Koh; Rodriguez-Marek, E.) || School of Information and Mathematics, Yangtze University, Jingzhou Hubei, 434023, China (Yu-Qiu Sun) |
| Abstract | This paper presents a new image fusion algorithm that combines quotient singular value decomposition (QSVD) with a simple averaging operation. Multi-focused images are first averaged into a new image. Then, error images are obtained with the averaged image and the multi-focused images. The most error-contributing component in each error image is replaced by the most contributing image component in the multi-focused image using QSVD in order to reduce errors. With each reduced error image, a new singular vector is calculated to get fused images. The final infused image is then decided by calculating the standard deviation of each fused image. Experiment results such as mutual information (MI), information entropy (IE), edge preservation information (Qabf), signal-to-noise-ratio (SNR) and root mean square error (RMSE) are used to evaluate the algorithm. The experimental results show that the developed algorithm is an efficient fusion algorithm. |
| Starting Page | 1 |
| Ending Page | 4 |
| File Size | 938413 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781612848563 |
| ISSN | 15483746 |
| e-ISBN | 9781612848570 |
| e-ISBN | 9781612848556 |
| DOI | 10.1109/MWSCAS.2011.6026417 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-08-07 |
| Publisher Place | Korea (South) |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Boats Algorithm design and analysis Fingerprint recognition |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electronic, Optical and Magnetic Materials Electrical and Electronic Engineering |
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