Self-Supervised Learning for Rolling Shutter Temporal Super-Resolution

IF 8.3 1区工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Transactions on Circuits and Systems for Video Technology Pub Date : 2024-09-17 DOI:10.1109/tcsvt.2024.3462520

Bin Fan, Ying Guo, Yuchao Dai, Chao Xu, Boxin Shi

引用次数: 0

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卷帘快门时空超分辨率的自监督学习

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来源期刊

IEEE Transactions on Circuits and Systems for Video Technology 工程技术-工程：电子与电气

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.