Video restoration based on deep learning: a comprehensive survey
نویسندگان
چکیده
Abstract Video restoration concerns the recovery of a clean video sequence starting from its degraded version. Different tasks exist, including denoising, deblurring, super-resolution, and reduction compression artifacts. In this paper, we provide comprehensive review main features existing methods based on deep learning. We focus our attention architectural components, strategies for motion handling, loss functions. analyze standard benchmark datasets use them to summarize performance methods, both in terms effectiveness efficiency. conclusion, challenges future research directions using learning are highlighted.
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ژورنال
عنوان ژورنال: Artificial Intelligence Review
سال: 2022
ISSN: ['0269-2821', '1573-7462']
DOI: https://doi.org/10.1007/s10462-022-10302-5