Results 31 to 40 of about 107,993 (282)
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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LCD motion blur estimation using different measurement methods [PDF]
, 2009 International audienceThe primary goal of this study is to find a measurement method for motion blur which is easy to carry out and gives results that can be reproduced from one lab to another. This method should be able to also take into account methods
Andrén, Borje +3 more
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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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Accurate and Fast Blur Detection Using a Pyramid M-Shaped Deep Neural Network
IEEE Access, 2019 Blur detection is aimed at estimating the probability of each pixel being blurred or non-blurred in an image affected by motion or defocus blur. This task has gained considerable attention due to its promising application fields in computer vision ...
Xuewei Wang +5 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
openaire +3 more sources
Jitter-Camera: High Resolution Video from a Low Resolution Detector [PDF]
, 2004 Video cameras must produce images at a reasonable frame-rate and with a reasonable depth of field. These requirements impose fundamental physical limits on the spatial resolution of the image detector.
Ben-Ezra, Moshe +2 more
core +3 more sources
Uniform Motion Blur in Poissonian Noise: Blur/Noise Tradeoff [PDF]
IEEE Transactions on Image Processing, 2011 In this paper we consider the restoration of images corrupted by both uniform motion blur and Poissonian noise. We formulate an image formation model that explicitly takes into account the length of the blur point-spread function and the noise level as functions of the exposure time.
BORACCHI, GIACOMO, Alessandro Foi
openaire +3 more sources
Motion-blur-free video shooting system based on frame-by-frame intermittent tracking
ROBOMECH Journal, 2017 In this paper, a concept of frame-by-frame intermittent tracking to achieve motion-blur-free and high-brightness images when video shooting fast moving scenes is proposed.
Michiaki Inoue +4 more
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Object Motion Deblurring in Single Image Under Static Background
IEEE Access, 2020 When shooting a moving object, as the object moves too fast or the camera's exposure time is too long, smears may occur in the image, which would result in motion blur. The blind restoration of object motion blur is a challenging inversive problem.
Tengteng Zhang +4 more
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Mathematical Problems of Computer Science, 2021 In this paper, we present deep learning-based blind image deblurring methods for estimating and removing a non-uniform motion blur from a single blurry image. We propose two fully convolutional neural networks (CNN) for solving the problem.
Misak T. Shoyan +2 more
doaj +1 more source