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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xiangzhi Bai Shuhang Gu Fugen Zhou |
| Copyright Year | 2010 |
| Description | Author affiliation: Image Processing Center, Beijing University of Aeronautics and Astronautics, Beijing 100191, China (Xiangzhi Bai; Shuhang Gu; Fugen Zhou) |
| Abstract | An entropy powered image fusion algorithm using multi scale top-hat transform is proposed in this paper. At the beginning, multi scale white and black top-hat transforms are used to extract bright and black image regions of images. To be efficient for image fusion, an entropy powered image fusion strategy is proposed. The extracted bright and black image regions are firstly powered corresponding to each pixel, then the powered bright and black image regions are fused in the fusion image, which well preserves the useful image information in the final fusion image. Experimental results using multi modal images and multi focus images show that, our algorithm is efficient and could be widely used in the field of image fusion. |
| Starting Page | 1083 |
| Ending Page | 1087 |
| File Size | 502338 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424465132 |
| e-ISBN | 9781424465163 |
| DOI | 10.1109/CISP.2010.5646893 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-10-16 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis entropy image fusion top-hat transform Signal processing algorithms Transforms multi scale Feature extraction mathematical morphology Entropy Image fusion Pixel |
| Content Type | Text |
| Resource Type | Article |
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