Results 21 to 30 of about 13,934 (254)
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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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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ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2014 The aim of any image restoration techniques is recovering the original image from a degraded observation. One of the most common degradation phenomena in images is motion blur.
shamik tiwari
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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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Camouflaged Adversarial Example Generation Method for the Form of Motion Blur in Traffic Scenes [PDF]
Jisuanji gongchengIn the domain of autonomous driving perception systems, Convolutional Neural Network(CNN) plays a pivotal role as a fundamental technology in vehicle perception and decision making. However, adversarial attacks pose a substantial threat to the safety and
ZHANG Zhaoxin, HUANG Shize, ZHANG Bingjie, SHEN Tuo
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INTEGRATION OF IMAGE-DERIVED AND POS-DERIVED FEATURES FOR IMAGE BLUR DETECTION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016 The image quality plays an important role for Unmanned Aerial Vehicle (UAV)’s applications. The small fixed wings UAV is suffering from the image blur due to the crosswind and the turbulence.
T.-A. Teo, K.-Z. Zhan
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From Motion Blur to Motion Flow: A Deep Learning Solution for Removing Heterogeneous Motion Blur [PDF]
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 Removing pixel-wise heterogeneous motion blur is challenging due to the ill-posed nature of the problem. The predominant solution is to estimate the blur kernel by adding a prior, but the extensive literature on the subject indicates the difficulty in identifying a prior which is suitably informative, and general.
Dong Gong +7 more
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A New Full-Reference Image Quality Metric for Motion Blur Profile Characterization
IEEE Access, 2021 Motion blur is common in images captured by handheld devices, arising from hand, device and/or object motion. To restore sharp images from the images degraded by the motion, it is extremely important to assess the quality of the captured image and its ...
Mohammad Abdullah-Al-Mamun +2 more
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Partial Motion Blur Removal [PDF]
2018 IEEE Second International Conference on Data Stream Mining & Processing (DSMP), 2018 The work is focused on two types of images partial blur (a single object blur and background blur). Complex approach to the deblurring of such images is proposed. It includes such aspects as automated blur detection, blurred image PSF estimation, blurred patches extraction and processing etc.
Andriy Klyuvak +2 more
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