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Automated montaging and contrast stretching of adaptive optics ophthalmoscope images. [PDF]
Biomed Opt ExpressAyubi GA, Kunala K, Dubra A.
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Movement Artifact Direction Estimation Based on Signal Processing Analysis of Single-Frame Images. [PDF]
Sensors (Basel)Nonsakhoo W, Saiyod S.
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GS-MSDR: Gaussian Splatting with Multi-Scale Deblurring and Resolution Enhancement. [PDF]
Sensors (Basel)Wan F +5 more
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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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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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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, Ying Wu 0001
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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, Ying Wu 0001
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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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Motion Regularization for Matting Motion Blurred Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010This paper addresses the problem of matting motion blurred objects from a single image. Existing single image matting methods are designed to extract static objects that have fractional pixel occupancy. This arises because the physical scene object has a finer resolution than the discrete image pixel and therefore only occupies a fraction of the pixel.
Hai Ting Lin +2 more
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Motion blur detection in radiographs
SPIE Proceedings, 2008Image blur introduced by patient motion is one of the most frequently cited reasons for image rejection in radiographic diagnostic imaging. The goal of the present work is to provide an automated method for the detection of anatomical motion blur in digital radiographic images to help improve image quality and facilitate workflow in the radiology ...
Hui Luo +5 more
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