Stereoscopic video deblurring transformer [PDF]
Scientific ReportsStereoscopic cameras, such as those in mobile phones and various recent intelligent systems, are becoming increasingly common. Multiple variables can impact the stereo video quality, e.g., blur distortion due to camera/object movement.
Hassan Imani +3 more
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Multi-Stage Network for Event-Based Video Deblurring with Residual Hint Attention [PDF]
Sensors, 2023 Video deblurring aims at removing the motion blur caused by the movement of objects or camera shake. Traditional video deblurring methods have mainly focused on frame-based deblurring, which takes only blurry frames as the input to produce sharp frames ...
Jeongmin Kim, Yong Ju Jung
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Generalized Video Deblurring for Dynamic Scenes [PDF]
2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015 Several state-of-the-art video deblurring methods are based on a strong assumption that the captured scenes are static. These methods fail to deblur blurry videos in dynamic scenes. We propose a video deblurring method to deal with general blurs inherent
Kim, Tae Hyun, Lee, Kyoung Mu
core +3 more sources
Adversarial Spatio-Temporal Learning for Video Deblurring [PDF]
IEEE Transactions on Image Processing, 2018 Camera shake or target movement often leads to undesired blur effects in videos captured by a hand-held camera. Despite significant efforts having been devoted to video-deblur research, two major challenges remain: 1) how to model the spatio-temporal ...
Li, Hongdong +5 more
core +4 more sources
Reblur2Deblur: Deblurring Videos via Self-Supervised Learning [PDF]
2018 IEEE International Conference on Computational Photography (ICCP), 2018 Motion blur is a fundamental problem in computer vision as it impacts image quality and hinders inference. Traditional deblurring algorithms leverage the physics of the image formation model and use hand-crafted priors: they usually produce results that ...
Chen, Huaijin +5 more
core +2 more sources
Combining Motion Compensation with Spatiotemporal Constraint for Video Deblurring [PDF]
Sensors, 2018 We propose a video deblurring method by combining motion compensation with spatiotemporal constraint for restoring blurry video caused by camera shake.
Jing Li, Weiguo Gong, Weihong Li
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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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IMU-aided adaptive mesh-grid based video motion deblurring [PDF]
PeerJ Computer ScienceMotion blur is a problem that degrades the visual quality of images for human perception and also challenges computer vision tasks. While existing studies mostly focus on deblurring algorithms to remove uniform blur due to their computational efficiency,
Ahmet Arslan +2 more
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Based on improved joint detection and tracking of UAV for multi-target detection of livestock [PDF]
HeliyonIn agriculture, specifically livestock monitoring, drones' ability to track multiple targets is essential for advancing the field. However, limited computing resources and unpredictable drone movements often cause issues like ambiguous video frames ...
Peng Shen +6 more
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Occupancy Estimation from Blurred Video: A Multifaceted Approach with Privacy Consideration [PDF]
SensorsBuilding occupancy information is significant for a variety of reasons, from allocation of resources in smart buildings to responding during emergency situations.
Md Sakib Galib Sourav +6 more
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