Results 211 to 220 of about 13,934 (254)
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Split second motion blur

ACM SIGGRAPH 2010 Talks, 2010
Motion blur is key to delivering a sense of speed in interactive video game rendering. Further, simulating accurate camera optical exposure properties and reduction of temporal aliasing brings us closer to high quality real-time rendering productions.
Matt Ritchie   +2 more
openaire   +1 more source

Motion blur disturbs – the influence of motion‐blurred images in photogrammetry

The Photogrammetric Record, 2014
AbstractUnmanned aerial vehicles (UAVs) have become an interesting and active research topic for photogrammetry. Current research is based on images acquired by UAVs which have a high ground resolution and good spectral resolution due to low flight altitudes combined with a high‐resolution camera.
T. Sieberth, R. Wackrow, J. H. Chandler
openaire   +1 more source

Camouflaging Motion Blur

Proceedings of the 2014 Indian Conference on Computer Vision Graphics and Image Processing, 2014
Camouflaging an object in a photograph is normally performed with the intent of unnoticeably hiding it within a given image. In this work, we give a different dimension to this problem and raise the interesting issue of camouaging motion blur with special relevance to non-uniformly blurred images. Given a blurred photograph, we apply a suitably derived
Makkena Purnachandra Rao   +3 more
openaire   +1 more source

Restoration of motion blurred images

Proceedings of the 23rd Spring Conference on Computer Graphics, 2007
Degradation of digital images is often caused by camera movement when a long exposition time is set. The blurred images can be enhanced by either iterative or non-iterative methods. From the non-iterative methods, Wiener reconstruction is often used. Iterative methods are slower in nature but usually better results can be achieved.
Michal Dobes, Libor Machala
openaire   +2 more sources

Demosaicking images with motion blur

2010 IEEE International Conference on Acoustics, Speech and Signal Processing, 2010
In standard digital color imaging, each pixel position acquires data for only one color plane and the remaining two color planes must be inferred through a process known as demosaicking. Furthermore, the image is susceptible to blurring artifacts due to a moving camera or fast moving subject.
Shay Har-Noy   +2 more
openaire   +2 more sources

Bayesian motion blur identification using blur priori

Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429), 2004
This paper presents a new approach to motion blur identification based on Bayesian paradigm and maximum a posteriori (MAP) method. To represent general spatial-invariant motion blurs, especially those caused by nonuniform and nonstraight motions, a new blur model is proposed by incorporating the knowledge of blur type or partially known motion shape as
Xuezheng Liu   +3 more
openaire   +2 more sources

On the Processing of a Motion-Blurred Image

SIAM Journal on Applied Mathematics, 1987
The problem considered here is that of reconstructing digital test patterns in dimension one, patterns which have been blurred through a smearing transform mechanism to which noise was added. The reconstruction method is a smoothed Fourier transform technique.
openaire   +1 more source

14.2: Visible Motion Blur: A Perceptual Metric for Display Motion Blur

SID Symposium Digest of Technical Papers, 2010
Abstract We propose a perceptual metric of display motion blur that corresponds to the visibility of the artifact. It incorporates the visual sensitivity to contrast and spatial frequency, as well as masking effects.
Andrew B. Watson, Albert J. Ahumada
openaire   +1 more source

5D Covariance tracing for efficient defocus and motion blur

ACM Transactions on Graphics, 2013
Fredo Durand   +2 more
exaly  

Motion blur and motion sharpening in the human visual system

Vision Research, 1997
Stephen T Hammett
exaly  

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