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| Content Provider | Springer Nature Link |
|---|---|
| Author | Nawaz, Qamar Xiao, Bin Hamid, Isma Jiao, Du |
| Copyright Year | 2016 |
| Abstract | Multimodal image fusion is a process of combining multiple images, generated by identical or diverse imaging modalities, to get precise inside information about the same body organ. In recent years, various multimodal image fusion algorithms have been proposed to fuse medical image. However, most of them focus on fusing grayscale images. This paper proposes a novel algorithm for the fusion of multimodal color medical images. The proposed algorithm divides source images into blocks, converts each RGB block into quaternion representation and transforms them from special domain to frequency domain by applying quaternion discrete Fourier transform. The fused coefficients are obtained by calculating and comparing contrast values of corresponding coefficients in transformed blocks. The resultant fused image is reconstructed by merging all the blocks after applying inverse quaternion discrete Fourier transform on each block. Experimental evaluation demonstrates that the proposed algorithm qualitatively outperforms many existing state-of-the-art multimodal image fusion algorithms. |
| Starting Page | 1 |
| Ending Page | 15 |
| Page Count | 15 |
| File Format | |
| ISSN | 15572064 |
| Journal | Sensing and Imaging: An International Journal |
| Volume Number | 17 |
| Issue Number | 1 |
| e-ISSN | 15572072 |
| Language | English |
| Publisher | Springer US |
| Publisher Date | 2016-04-18 |
| Publisher Place | New York |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | QDFT based image fusion Multi-modal image fusion Color image fusion Medical image fusion Electrical Engineering Microwaves, RF and Optical Engineering Imaging Radiology |
| Content Type | Text |
| Resource Type | Article |
| Subject | Instrumentation Electrical and Electronic Engineering |
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