Results 11 to 20 of about 4,876 (175)
Dataset and Network Structure: Towards Frames Selection for Fast Video Deblurring
IEEE Access, 2021 Beyond the underlaying unrealistic presumptions in the existing video deblurring datasets and algorithms which presume that a naturally blurred video is fully blurred. In this work, we define a more realistic video frames averaging-based data degradation
Abdelwahed Nahli +4 more
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VDTR: Video Deblurring With Transformer
IEEE Transactions on Circuits and Systems for Video Technology, 2023 Video deblurring is still an unsolved problem due to the challenging spatio-temporal modeling process. While existing convolutional neural network-based methods show a limited capacity for effective spatial and temporal modeling for video deblurring. This paper presents VDTR, an effective Transformer-based model that makes the first attempt to adapt ...
Mingdeng Cao +4 more
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UNet Based Multi-Scale Recurrent Network for Lightweight Video Deblurring
IEEE Access, 2023 With the recent widespread use of smartphones and digital video cameras, the opportunities to handle digital video have increased significantly.
Shunsuke Yae, Masaaki Ikehara
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DAVID: Dual-Attentional Video Deblurring [PDF]
2020 IEEE Winter Conference on Applications of Computer Vision (WACV), 2020 Blind video deblurring restores sharp frames from a blurry sequence without any prior. It is a challenging task because the blur due to camera shake, object movement and defocusing is heterogeneous in both temporal and spatial dimensions. Traditional methods train on datasets synthesized with a single level of blur, and thus do not generalize well ...
Wu, Junru +4 more
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Motion Blur Removal for Uav-Based Wind Turbine Blade Images Using Synthetic Datasets
Remote Sensing, 2021 Unmanned air vehicle (UAV) based imaging has been an attractive technology to be used for wind turbine blades (WTBs) monitoring. In such applications, image motion blur is a challenging problem which means that motion deblurring is of great significance ...
Yeping Peng +4 more
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Continuous Facial Motion Deblurring
IEEE Access, 2022 We introduce a novel framework for continuous facial motion deblurring that restores the continuous sharp moment latent in a single motion-blurred face image via a moment control factor.
Tae Bok Lee, Sujy Han, Yong Seok Heo
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Concurrent Video Denoising and Deblurring for Dynamic Scenes
IEEE Access, 2021 Dynamic scene video deblurring is a challenging task due to the spatially variant blur inflicted by independently moving objects and camera shakes. Recent deep learning works bypass the ill-posedness of explicitly deriving the blur kernel by learning ...
Efklidis Katsaros +3 more
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Video Deblurring via Temporally and Spatially Variant Recurrent Neural Network
IEEE Access, 2020 The camera shake and high-speed motion of objects often produce a blurry video. However, it is hard to recover sharp videos using existing single or multiple image deblurring methods, as the blur artifacts in blurry videos are both temporally and ...
Runhua Jiang +4 more
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, 2016 Accepted to the 14th European Conference on Computer Vision (ECCV 2016).
Anita Sellent +2 more
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Research on video AI recognition technology for abnormal state of coal mine belt conveyors
Gong-kuang zidonghua, 2023 Traditional belt conveyor abnormal state recognition uses manual inspection or mechanical comprehensive protection system for detection. The manual inspection is labor-intensive, inefficient, and difficult to accurately detect faults.
MAO Qinghua +6 more
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