Results 251 to 260 of about 1,785,585 (297)

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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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 ...
Gérard Ledwich, Weijia Liu, Yusheng Xue   +2 more
exaly   +2 more sources

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
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Parallel processing architectures for iterative image restoration

International Conference on Acoustics, Speech, and Signal Processing, 2003
Mesh and mesh-of-pyramids implementations of iterative image restoration algorithms are proposed. These implementations are based on a single-step algorithm as well as on a multistep iterative algorithm derived from the single step regularized iterative restoration algorithm.
Aggelos K. Katsaggelos, Srikanta P. R. Kumar, Majid Sarrafzadeh   +2 more
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Parallel implementation for iterative image restoration algorithms on a parallel DSP machine

Journal of VLSI signal processing systems for signal, image and video technology, 1993
Many low-level image processing algorithms which are posed as variational problems can be numerically solved using local and iterative relaxation algorithms. Because of the structure of these algorithms, processing time will decrease nearly linearly with the addition of processing nodes working in parallel on the problem.
Robert L. Stevenson, George B. Adams, Leah H. Jamieson, Edward J. Delp   +3 more
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Parallelization of a Public Image Restoration Algorithm

2007
We present a deconvolution method intended for image restoration. Although the method is computationally heavy, it obtains a good restoration quality. We have successfully achieved the scientific aim of parallelizing the algorithm, obtaining acceptable scalability on shared and distributed memory machines.
Francisco Almeida, Carlos Delgado, Ramón J. García López, Francisco de Sande   +3 more
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Half-Quadratic Image Restoration with a Non-parallelism Constraint

Journal of Mathematical Imaging and Vision, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Antonio Boccuto, Ivan Gerace, Francesca Martinelli   +2 more
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A color image restoration with adjacent parallel lines inhibition

12th International Conference on Image Analysis and Processing, 2003.Proceedings., 2004
We focus our attention on the problem of restoring a color image corrupted by blur and noise. This problem is ill-posed in the Hadamard sense. By regularization techniques, it is possible to define the solution of the problem as the minimum of an energy function.
GERACE, Ivan, PANDOLFI, ROBERTA
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Parallel Processing for Image Restoration

2001
In the practical transmission of block-based coding image, bit errors may occur, which often results in lost block. Error concealment is a widely used technique to conquer the transmission error. Chapter 6 has proved that Best Neighborhood Matching (BNM) algorithm is a very good error concealment approach in terms of restored image quality [[1 ...
David Zhang, Xiaobo Li, Zhiyong Liu
openaire   +1 more source