Results 251 to 260 of about 83,564 (303)

Classifying Discriminative Features for Blur Detection

open access: yesIEEE Transactions on Cybernetics, 2016
Blur detection in a single image is challenging especially when the blur is spatially-varying. Developing discriminative blur features is an open problem. In this paper, we propose a new kernel-specific feature vector consisting of the information of a
Yanwei Pang, Xuelong Li
exaly   +2 more sources
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Blur and Disorder

Journal of Visual Communication and Image Representation, 1999
Blurring is not the only way to selectively remove fine spatial detail from an image. An alternative is to scramble pixels locally over areas defined by the desired blur circle. We refer to such scrambled images as "locally disorderly". Such images have many potentially interesting applications.
Koenderink-van Doorn, A.J.   +1 more
openaire   +4 more sources

Cartoon blur: nonphotorealistic motion blur

Proceedings Computer Graphics International 2003, 2004
Motion 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
openaire   +1 more source

Analysis of Blur Measure Operators for Single Image Blur Segmentation

open access: yesApplied Sciences (Switzerland), 2018
Blur detection and segmentation for a single image without any prior information is a challenging task. Numerous techniques for blur detection and segmentation have been proposed in the literature to ultimately restore the sharp images.
Muhammad Tariq Mahmood, Usman Ali
exaly   +2 more sources

Blurred Correlation Versus Correlation Blur

2005
We discuss the topic of correlation in a scale space setting. Correlation involves two distinct scales. The “outer scale” is the scale of the region over which the correlation will be calculated. Classically this is the whole space of interest, but in many cases one desires the correlation over some region of interest. The “inner scale” is the scale at
Koenderink, J.J., van Doorn, A.J.
openaire   +2 more sources

Blur into focus

Nature, 1990
Sir Morgan and Benton suggest that the human visual system does not have a general motion deblurring mechanism because the threshold for descriminating the spacing between two bars is degraded significantly by image motion. However, image motion has only modest effects when compared with static spatial blur.
Anderson, Charles H.   +2 more
openaire   +3 more sources

Blurring in Radiography

The British Journal of Radiology, 1946
The various types of blurring occurring in radiography are examined. Experimental work was carried out by photometering density curves of a sharp edge and the densities were converted to exposures. For the case of screen blurring an exponential function was found to fit experimental results very well.
A, NEMET, W F, COX, G B, WALKER
openaire   +2 more sources

Blurring the boundaries

Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 2007
Early research in artificial intelligence (AI) in design was “AI in the large.” Artificial intelligence promised a revolutionary approach to assisting or automating design processes, separate from other computational systems. As the field matures, “AI in the small” has the most potential.
openaire   +1 more source

Blurred target tracking by Blur-driven Tracker

2011 International Conference on Computer Vision, 2011
Visual tracking plays an important role in many computer vision tasks. A common assumption in previous methods is that the video frames are blur free. In reality, motion blurs are pervasive in the real videos. In this paper we present a novel BLUr-driven Tracker (BLUT) framework for tracking motion-blurred targets.
Yi Wu 0001   +5 more
openaire   +2 more sources

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