A Novel Synchronized Fusion Model for Multi-Band Images
| Autor: | Jianchao Zeng, Guifeng Bai, Yanbo Wang, Suzhen Lin, Bin Wang |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
General Computer Science
Computer science Feature extraction 0211 other engineering and technologies 02 engineering and technology Texture (music) Image (mathematics) multi-band images 0202 electrical engineering electronic engineering information engineering Image fusion General Materials Science Computer vision 021101 geological & geomatics engineering Fusion business.industry optimization model General Engineering Construct (python library) Multi band 020201 artificial intelligence & image processing lcsh:Electrical engineering. Electronics. Nuclear engineering Artificial intelligence Enhanced Data Rates for GSM Evolution ADMM business lcsh:TK1-9971 |
| Zdroj: | IEEE Access, Vol 7, Pp 139196-139211 (2019) |
| ISSN: | 2169-3536 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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