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Fast Motion Deblurring Using Sensor-Aided Motion Trajectory Estimation [PDF]
The Scientific World Journal, 2014 This paper presents an image deblurring algorithm to remove motion blur using analysis of motion trajectories and local statistics based on inertial sensors.
Eunsung Lee +3 more
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A state-of-the-art review of image motion deblurring techniques in precision agriculture [PDF]
Heliyon, 2023 Image motion deblurring is a crucial technology in computer vision that has gained significant attention attracted by its outstanding ability for accurate acquisition of motion image information, processing and intelligent decision making, etc.
Yu Huihui, Li Daoliang, Chen Yingyi
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Multi-Stage Attentive Network for Motion Deblurring via Binary Cross-Entropy Loss [PDF]
Entropy, 2022 In this paper, we present the multi-stage attentive network (MSAN), an efficient and good generalization performance convolutional neural network (CNN) architecture for motion deblurring. We build a multi-stage encoder–decoder network with self-attention
Cai Guo +3 more
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Learning Blind Motion Deblurring [PDF]
2017 IEEE International Conference on Computer Vision (ICCV), 2017 As handheld video cameras are now commonplace and available in every smartphone, images and videos can be recorded almost everywhere at anytime. However, taking a quick shot frequently yields a blurry result due to unwanted camera shake during recording ...
Hirsch, Michael +3 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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Light Field Blind Motion Deblurring [PDF]
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 We study the problem of deblurring light fields of general 3D scenes captured under 3D camera motion and present both theoretical and practical contributions.
Ng, Ren +2 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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Current-Aware Temporal Fusion with Input-Adaptive Heterogeneous Mixture-of-Experts for Video Deblurring [PDF]
SensorsIn image sensing, measurements such as an object’s position or contour are typically obtained by analyzing digitized images. This method is widely used due to its simplicity. However, relative motion or inaccurate focus can cause motion and defocus blur,
Yanwen Zhang, Zejing Zhao, Akio Namiki
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Adaptive Image Deblurring Convolutional Neural Network with Meta-Tuning [PDF]
SensorsMotion blur is a complex phenomenon caused by the relative movement between an observed object and an imaging sensor during the exposure time, resulting in degradation in the image quality.
Quoc-Thien Ho +3 more
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, 2017 The task of image deblurring is a very ill-posed problem as both the image and the blur are unknown. Moreover, when pictures are taken in the wild, this task becomes even more challenging due to the blur varying spatially and the occlusions between the ...
A Chakrabarti +10 more
core +3 more sources