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Comparison of liver T1 estimates generated by breath-hold 3D FSPGR and free-breathing 3D radial stack-of-stars FSPGR variable flip angle T1 mapping sequences. [PDF]
Eur J Radiol OpenXu H +9 more
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DeepLayer-ID: A Lightweight Multi-Domain Forensic Framework for Real-Time Deepfake Detection in Resource-Constrained UAV Sensor Platforms. [PDF]
Sensors (Basel)Alshammari NH, Alshammari SA.
europepmc +1 more source
Evaluation of the Square Eyes Model as a Screening Tool for Identifying Digital Technologies in Wearable Camera Images Among Children: Laboratory Study. [PDF]
J Med Internet ResRasmussen CL +7 more
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2008 IEEE Conference on Computer Vision and Pattern Recognition, 2008
Motion blur retains some information about motion, based on which motion may be recovered from blurred images. This is a difficult problem, as the situations of motion blur can be quite complicated, such as they may be space-variant, nonlinear, and local.
Shengyang Dai
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Motion blur retains some information about motion, based on which motion may be recovered from blurred images. This is a difficult problem, as the situations of motion blur can be quite complicated, such as they may be space-variant, nonlinear, and local.
Shengyang Dai
exaly +2 more sources
Recovering Affine Motion and Defocus Blur Simultaneously
IEEE Transactions on Pattern Analysis and Machine Intelligence, 1998 Motion in depth and/or zooming cause defocus blur. We show how the defocus blur in an image can be recovered simultaneously with affine motion. We introduce the theorydevelop a solution method and demonstrate the validity of the theory and the solution ...
Lobo, Niels Da Vitoria, Myles, Zarina
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2020 IEEE International Conference on Image Processing (ICIP), 2020
Priors play an important role of regularizers in image deblurring algorithms. Image priors are frequently studied and many forms were proposed in the literature. Blur priors are considered less important and the most common forms are simple uniform distributions with domain constraints.
Filip Sroubek, Jan Kotera
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Priors play an important role of regularizers in image deblurring algorithms. Image priors are frequently studied and many forms were proposed in the literature. Blur priors are considered less important and the most common forms are simple uniform distributions with domain constraints.
Filip Sroubek, Jan Kotera
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Exposure Trajectory Recovery From Motion Blur [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 Motion blur in dynamic scenes is an important yet challenging research topic. Recently, deep learning methods have achieved impressive performance for dynamic scene deblurring.
Dacheng Tao, Dacheng Tao, Chaoyue Wang
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Motion blur for motion segmentation
2013 IEEE International Conference on Image Processing, 2013In this paper, we develop a method for motion segmentation using blur kernels. A blur kernel represents the apparent motion undergone by a scene point in the image plane. When the relative motion between the camera and scene is not restricted to fronto-parallel translations, the shape of the blur kernels can vary across image points.
Chandramouli Paramanand +1 more
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Perception, 1997
The still-radii illusion, the figure-of-eight illusion, the band-of-heightened-intensity illusion and the dark-blurred-concentric-circles illusion have remained, until now, isolated relatively ill-explained phenomena. A single algorithmic model is proposed which explains these four visual illusions.
F, Gosselin, C, Lamontagne
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The still-radii illusion, the figure-of-eight illusion, the band-of-heightened-intensity illusion and the dark-blurred-concentric-circles illusion have remained, until now, isolated relatively ill-explained phenomena. A single algorithmic model is proposed which explains these four visual illusions.
F, Gosselin, C, Lamontagne
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Cartoon blur: nonphotorealistic motion blur
Proceedings Computer Graphics International 2003, 2004Motion blur is a well-established technique which prevents strobing by making fast moving objects appear blurred. In cel animation however, different methods are used and we present a new technique to emphasise the motion of cartoon objects through the application of geometry. We term the involved nonphotorealistic motion blur as 'cartoon blur'.
Yuya Kawagishi +2 more
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