Academic Journal

Dynamic Scene Deblurring Based on Semantic Information Supplement

التفاصيل البيبلوغرافية
العنوان: Dynamic Scene Deblurring Based on Semantic Information Supplement
المؤلفون: Liu, Yiming, Li, Junhui, Huang, Wenzhuo, Tang, Kang, Xu, Dahong
المصدر: Journal of Physics: Conference Series ; volume 1518, issue 1, page 012069 ; ISSN 1742-6588 1742-6596
بيانات النشر: IOP Publishing
سنة النشر: 2020
الوصف: To solve the problem of semantic information dilution in network propagation, a semantic information supplement mechanism (SIS) is proposed to improve the performance of dynamic scene deblurring algorithm. Based on GANs structure, our generator is to recycle the semantic information and features spanning across multiple receptive scales to restore a sharp image, when a blur image is given. What’s more, in order to better integrate semantic information with the latent-feature and solve the problem of training difficulty in very-deep network, we put forward a long and short skip-connection method. Extensive experiments show that our Semantic Information Supplement network (SIS-net) achieves both qualitative and quantitative improvements against state-of-the-art methods.
نوع الوثيقة: article in journal/newspaper
اللغة: unknown
DOI: 10.1088/1742-6596/1518/1/012069
DOI: 10.1088/1742-6596/1518/1/012069/pdf
الاتاحة: http://dx.doi.org/10.1088/1742-6596/1518/1/012069
https://iopscience.iop.org/article/10.1088/1742-6596/1518/1/012069/pdf
https://iopscience.iop.org/article/10.1088/1742-6596/1518/1/012069
Rights: http://creativecommons.org/licenses/by/3.0/ ; https://iopscience.iop.org/info/page/text-and-data-mining
رقم الانضمام: edsbas.2A7D1975
قاعدة البيانات: BASE
الوصف
DOI:10.1088/1742-6596/1518/1/012069