A Novel Synchronized Fusion Model for Multi-Band Images
The purpose of this paper is to address the problem of synchronous multi-band image fusion, which encompasses far-infrared images (FIRI), near-infrared images (NIRI), and visible images (VISI). By studying the imaging principles for each of these kinds of image, we find that there are similarities b...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8848448/ |
| _version_ | 1818667781528223744 |
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| author | Bin Wang Guifeng Bai Suzhen Lin Yanbo Wang Jianchao Zeng |
| author_facet | Bin Wang Guifeng Bai Suzhen Lin Yanbo Wang Jianchao Zeng |
| author_sort | Bin Wang |
| collection | DOAJ |
| description | The purpose of this paper is to address the problem of synchronous multi-band image fusion, which encompasses far-infrared images (FIRI), near-infrared images (NIRI), and visible images (VISI). By studying the imaging principles for each of these kinds of image, we find that there are similarities between NIRI and the final fusion image, including both thermal radiation and the reflection of light. NIRI is therefore used as the reference image and relevant FIRI or VISI features are used to enhance the thermal target, background and edge texture, thereby making fusion possible. The paper begins by establishing an optimization model for multi-band image synchronous fusion, based on imaging characteristics. This is followed by a more detailed elaboration of the model. An alternating direction method of multipliers (ADMM) is then used to construct an algorithm to solve the model according to the specific circumstances of its use. After this, an experimental design is analyzed to acquire the main parameters of the model. Finally, a number of experiments are used to demonstrate that the fusion produces good results in terms of both visual effects and objective evaluation indicators. |
| first_indexed | 2024-12-17T06:25:53Z |
| format | Article |
| id | doaj.art-05c85b86ee004cf39fca1bf3d14defa1 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-17T06:25:53Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-05c85b86ee004cf39fca1bf3d14defa12022-12-21T22:00:18ZengIEEEIEEE Access2169-35362019-01-01713919613921110.1109/ACCESS.2019.29436608848448A Novel Synchronized Fusion Model for Multi-Band ImagesBin Wang0Guifeng Bai1Suzhen Lin2Yanbo Wang3Jianchao Zeng4https://orcid.org/0000-0001-7755-7550Department of Data Science and Technology, North University of China, Taiyuan, ChinaDepartment of Data Science and Technology, North University of China, Taiyuan, ChinaDepartment of Data Science and Technology, North University of China, Taiyuan, ChinaDepartment of Data Science and Technology, North University of China, Taiyuan, ChinaDepartment of Data Science and Technology, North University of China, Taiyuan, ChinaThe purpose of this paper is to address the problem of synchronous multi-band image fusion, which encompasses far-infrared images (FIRI), near-infrared images (NIRI), and visible images (VISI). By studying the imaging principles for each of these kinds of image, we find that there are similarities between NIRI and the final fusion image, including both thermal radiation and the reflection of light. NIRI is therefore used as the reference image and relevant FIRI or VISI features are used to enhance the thermal target, background and edge texture, thereby making fusion possible. The paper begins by establishing an optimization model for multi-band image synchronous fusion, based on imaging characteristics. This is followed by a more detailed elaboration of the model. An alternating direction method of multipliers (ADMM) is then used to construct an algorithm to solve the model according to the specific circumstances of its use. After this, an experimental design is analyzed to acquire the main parameters of the model. Finally, a number of experiments are used to demonstrate that the fusion produces good results in terms of both visual effects and objective evaluation indicators.https://ieeexplore.ieee.org/document/8848448/Image fusionoptimization modelmulti-band imagesADMM |
| spellingShingle | Bin Wang Guifeng Bai Suzhen Lin Yanbo Wang Jianchao Zeng A Novel Synchronized Fusion Model for Multi-Band Images IEEE Access Image fusion optimization model multi-band images ADMM |
| title | A Novel Synchronized Fusion Model for Multi-Band Images |
| title_full | A Novel Synchronized Fusion Model for Multi-Band Images |
| title_fullStr | A Novel Synchronized Fusion Model for Multi-Band Images |
| title_full_unstemmed | A Novel Synchronized Fusion Model for Multi-Band Images |
| title_short | A Novel Synchronized Fusion Model for Multi-Band Images |
| title_sort | novel synchronized fusion model for multi band images |
| topic | Image fusion optimization model multi-band images ADMM |
| url | https://ieeexplore.ieee.org/document/8848448/ |
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