Results 231 to 240 of about 404,625 (284)

Parallel image restoration on parallel and distributed computers

Parallel Computing, 2000
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Bevilacqua A., Loli Piccolomini E.
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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
S. Kratzer, A. Reeves
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Parallel iterative image restoration algorithms

Proceedings of the 32nd Midwest Symposium on Circuits and Systems, 2003
Three parallel iterative image restoration algorithms with and without preconditioning are proposed and analyzed. The first algorithm corresponds to a coarse-grained general-purpose multiprocessor computer, the second to a massively parallel computer with synchronization, and the third to a massively parallel computer without synchronization.
J.K. Paik, A.K. Katsaggelos
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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, D. J. EVANS, J. TASIČ
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Sequential and parallel image restoration: neural network implementations

IEEE Transactions on Image Processing, 1994
Sequential and parallel image restoration algorithms and their implementations on neural networks are proposed. For images degraded by linear blur and contaminated by additive white Gaussian noise, maximum a posteriori (MAP) estimation and regularization theory lead to the same high dimension convex optimization problem.
M T, Figueiredo, J N, Leitao
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A parallel algorithm for image information restoration

Proceedings Fourth International Conference/Exhibition on High Performance Computing in the Asia-Pacific Region, 2000
An image information restoration algorithm based on Long-Range correlation (LR-IIRA) can be efficiently applied in image interpretation, restoration, and error concealment. But this algorithm requires excessive computing time, which restricts its application on large-scale problems and real time problems.
null Wen Li, null Dapeng Zhang, null Zhiyong Liu, null Xiangzheng Qiao   +3 more
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Identification and restoration using parallel Kalman filters

26th IEEE Conference on Decision and Control, 1987
In this paper a parallel identification and restoration procedure is described for images with symmetric, noncausal blurs. It is shown that the identification problem can be specified as a parallel set of one-dimensional complex autoregressive moving-average (ARMA) identification problems.
Jie Biemond, Howard Kaufman
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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.
A.K. Katsaggelos, S.P.R. Kumar, M. Sarrafzadeh   +2 more
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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
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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.
null Yen-Wei Chen, Z. Nakao, null Xue Fang, S. Tamura   +3 more
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