Results 191 to 200 of about 1,770,360 (244)

A Parallel Primal-Dual Splitting Method for Image Restoration

Information Sciences, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Xuelong Li, Changhua Hu, Chuan He
exaly   +4 more sources

Study on Epipolar Geometry Restoration of Parallel Binocular Vision

2006 IEEE International Conference on Robotics and Biomimetics, 2006
The epipolar geometry restoration offline and online for the parallel binocular vision system were discussed in this paper. For the former, a method that uses a common calibration board to realize automatic and accurate matching of the image corner pairs was developed; for the latter, a connotative constraint was proved by geometry theory and the ...
Hongwei Gao 0002, Chengdong Wu 0001, Bin Li 0001   +2 more
openaire   +2 more sources

Parallel image restoration on parallel and distributed computers

Parallel Computing, 2000
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Bevilacqua A., Loli Piccolomini E.
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Sectionalising Methodology for Parallel System Restoration Based on Graph Theory

IET Generation, Transmission and Distribution, 2015
Parallel power system restoration (PPSR) restores isolated sections (islands) of the network in parallel, thus the overall restoration process is accelerated.
Jairo Quirós-Tortós, Vladimir Terzija, Mathaios Panteli   +2 more
exaly   +2 more sources

Sectionalizing Strategies for Minimizing Outage Durations of Critical Loads in Parallel Power System Restoration With Bi-Level Programming

International Journal of Electrical Power and Energy Systems, 2015
Fast restoration of critical loads and non-black-start generators can significantly reduce the economic losses caused by power system blackouts. In a parallel power system restoration scenario, the sectionalization of restoration subsystems plays a very ...
Gerard Ledwich, Weijia Liu, Yusheng Xue
exaly   +2 more sources

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Image restoration by parallel processing

ICASSP '84. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005
Digital processing can be used to restore an image which has been blurred and/or corrupted by noise. This is a very slow process when implemented on a general purpose computer, especially for non-homogeneous problems, where FFT methods cannot be used. This paper describes an algorithm and a processor architecture for restoring an image in parallel, one
Steven G. Kratzer, Anthony P. Reeves
openaire   +1 more source

Massively parallel image restoration

1990 IJCNN International Joint Conference on Neural Networks, 1990
An image restoration model that performs piecewise-constant restorations on images corrupted with very high noise levels is presented. The model uses a sigmoid nonlinearity at each pixel site to produce a restoration with sharp boundaries without using an explicit line process. The restoration is produced efficiently using a stochastic search procedure
Murali M. Menon, William M. Wells III
openaire   +1 more source

Parallel Image Restoration with Domain Decomposition

Real-Time Imaging, 2001
Summary: In this paper we present parallel algorithms to solve the problem of image restoration when the Point Spread Function is Space Variant. The problem has a very high computational complexity and it is very hard to solve it on scalar computers. The algorithms are based on the decomposition of the image spatial domain and on the solution of both ...
Loli Piccolomini E., Zama F.
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PARALLEL UPDATING TECHNIQUES IN IMAGE RESTORATION

Parallel Algorithms and Applications, 1995
In this paper, the linear algebra techniques used in image restoration are outlined. Then a systolic array for computing the inverse of rank-one modified matrix using the Sherman-Morrison formula is proposed. This algorithm is then extended to solving the updated systems of linear equations on a linear systolic array.
P. Blaznik, David J. Evans 0001, J. Tasic   +2 more
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A parallel genetic algorithm for image restoration

Proceedings of 13th International Conference on Pattern Recognition, 1996
A parallel genetic algorithm based on the island model for image restoration is presented. The algorithm divides a large population into smaller subpopulations and executes the main loop of the traditional genetic algorithm on each processor with its own subpopulation in parallel. Its performance is evaluated in a multi-workstation environment.
Yen-Wei Chen 0001, Zensho Nakao, Xue Fang, Shinichi Tamura   +3 more
openaire   +1 more source