Regularized image restoration based on preconditioned conjugate gradient method

DOI

10.2991/icmt-13.2013.176How to use a DOI?

Keywords

Image restoration, Preconditioned matrix, Conjugate gradient method, Toeplitz matrices, Preconditioned conjugate gradient method.

Abstract

Image restoration can be attributed to solving a linear systems and conjugate gradient method is an effective iteration algorithm for solving various linear systems. However the convergence rate of CG method is determined by condition number of coefficient matrix. The level1 and level2 preconditioner were used to reduce the condition number of coefficient matrix and to accelerate the convergence rate. Simulation experiment show that with same iteration times the PCG method reached better results than other method.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Meng Ling
AU  - Zhang Bing
PY  - 2013/11
DA  - 2013/11
TI  - Regularized image restoration based on preconditioned conjugate gradient method
BT  - Proceedings of 3rd International Conference on Multimedia Technology(ICMT-13)
PB  - Atlantis Press
SP  - 1435
EP  - 1442
SN  - 1951-6851
UR  - https://doi.org/10.2991/icmt-13.2013.176
DO  - 10.2991/icmt-13.2013.176
ID  - Ling2013/11
ER  -