Research on Infrared and Visible Image Fusion Based on Improved Generative Adversarial Network
收藏DataCite Commons2024-11-25 更新2025-04-16 收录
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https://ieee-dataport.org/documents/research-infrared-and-visible-image-fusion-based-improved-generative-adversarial-network
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The file contains merely a small portion of our research results. The particular picture presented showcases the outcomes that were achieved through our fusion method when applied to the TNO test set. The "ir", which is the abbreviation for infrared light image, is characterized by being rich in thermal radiation information. However, it unfortunately has a rather low spatial resolution. On the other hand, the "vis", representing the visible light image, is abundant in scene information. But it has a drawback in that the human targets within it are not so distinctly visible. The "our" indicates the fused image generated by our method. This fused image possesses rich texture details and, most importantly, the targets are clearly and distinctly visible, making it highly valuable for further analysis and various applications.
提供机构:
IEEE DataPort
创建时间:
2024-11-25



