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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Learning a Convolutional Neural Network for Non-uniform Motion Blur Removal [PDF]
, 2015 In this paper, we address the problem of estimating and removing non-uniform motion blur from a single blurry image. We propose a deep learning approach to predicting the probabilistic distribution of motion blur at the patch level using a convolutional ...
Cao, Wenfei +3 more
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Near-invariant blur for depth and 2D motion via time-varying light field analysis [PDF]
, 2012 Recently, several camera designs have been proposed for either making defocus blur invariant to scene depth or making motion blur invariant to object motion.
Agrawal A. +16 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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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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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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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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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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