FreqGAN:通过统一频率对抗学习实现红外和可见光图像融合

IF 8.3 1区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Zhishe Wang, Zhuoqun Zhang, Wuqiang Qi, Fengbao Yang, Jiawei Xu
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FreqGAN: Infrared and Visible Image Fusion via Unified Frequency Adversarial Learning
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来源期刊
CiteScore
13.80
自引率
27.40%
发文量
660
审稿时长
5 months
期刊介绍: The IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) is dedicated to covering all aspects of video technologies from a circuits and systems perspective. We encourage submissions of general, theoretical, and application-oriented papers related to image and video acquisition, representation, presentation, and display. Additionally, we welcome contributions in areas such as processing, filtering, and transforms; analysis and synthesis; learning and understanding; compression, transmission, communication, and networking; as well as storage, retrieval, indexing, and search. Furthermore, papers focusing on hardware and software design and implementation are highly valued. Join us in advancing the field of video technology through innovative research and insights.
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