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IEEE Access, 2021 Motion blur is a common problem in optical imaging, which is caused by the relative displacement between the subject and the camera in the exposure process of the camera.
Zhenfeng Zhang
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AUTOMATED BLUR DETECTION AND REMOVAL IN AIRBORNE IMAGING SYSTEMS USING IMU DATA [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 Images acquired by airborne sensors exhibit blur due to turbulent motion experienced by the aircraft. Significant amount of blur renders the images unusable for subsequent visual/automated analysis, requiring a re-flight.
C. A. Shah, W. Schickler
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Multi-Frame Blind Super-Resolution Based on Joint Motion Estimation and Blur Kernel Estimation
Applied Sciences, 2022 Multi-frame super-resolution makes up for the deficiency of sensor hardware and significantly improves image resolution by using the information of inter-frame and intra-frame images.
Shanshan Liu +2 more
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, 2023 ABSTRACT Imaging and characterizing the dynamics of cellular adhesion in blood samples is of fundamental importance in understanding biological function. In vitro microscopy methods are widely used for this task, but typically require diluting the blood with a buffer to allow for ...
Utku Goreke +9 more
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A state-of-the-art review of image motion deblurring techniques in precision agriculture
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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Estimation and Sharpening of Blur in Degraded Images Captured by a Camera on a Moving Object
Sensors, 2022 In this research, we aim to propose an image sharpening method to make it easy to identify concrete cracks from blurred images captured by a moving camera.
Toshiyuki Hayashi, Takashi Tsubouchi
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Motion-from-Blur: 3D Shape and Motion Estimation of Motion-blurred Objects in Videos
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 We propose a method for jointly estimating the 3D motion, 3D shape, and appearance of highly motion-blurred objects from a video. To this end, we model the blurred appearance of a fast moving object in a generative fashion by parametrizing its 3D position, rotation, velocity, acceleration, bounces, shape, and texture over the duration of a predefined ...
Denys Rozumnyi +3 more
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Visual tracking in the presence of motion blur [PDF]
, 2005 We consider the problem of visual tracking of regions of interest in a sequence of motion blurred images. Traditional methods couple tracking with deblurring in order to correctly account for the effects of motion blur.
Favaro, Paolo +5 more
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Motion Blurred Star Image Restoration Based on MEMS Gyroscope Aid and Blur Kernel Correction
Sensors, 2018 Under dynamic conditions, motion blur is introduced to star images obtained by a star sensor. Motion blur affects the accuracy of the star centroid extraction and the identification of stars, further reducing the performance of the star sensor.
Shiqiang Wang +3 more
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A Motion Deblurring Network for Enhancing UAV Image Quality in Bridge Inspection
Drones, 2023 Unmanned aerial vehicles (UAVs) have been increasingly utilized for facility safety inspections due to their superior safety, cost effectiveness, and inspection accuracy compared to traditional manpower-based methods.
Jin-Hwan Lee +3 more
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