9th Joint International Conference on Information Sciences (JCIS-06)

Image Restoration Using RO Learning Approach

Authors
Chunshien Li 0, Chan-Hung Yeh, Jye Lee
Corresponding Author
Chunshien Li
0Department of Computer Science, National Univ. of Tainan
DOI
https://doi.org/10.2991/jcis.2006.22How to use a DOI?
Keywords
machine-learning, random-optimization, adaptive filter, block processing.
Abstract
In this paper, a machine-leaning-based adaptive approach is proposed to restore image from Gaussian corruption. The well-known Random-Optimization (RO) learning method is used for training of the adaptive filter. With the merit of model-free computation of RO, the derivative information is not required. Combined with block processing technique, the proposed adaptive filtering approach possesses fast convergence, moderate computation and simplicity. The proposed adaptive filter shows excellent filtering performance for image restoration.
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Proceedings
9th Joint International Conference on Information Sciences (JCIS-06)
Part of series
Advances in Intelligent Systems Research
Publication Date
October 2006
ISBN
978-90-78677-01-7
ISSN
1951-6851
DOI
https://doi.org/10.2991/jcis.2006.22How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Chunshien Li
AU  - Chan-hung Yeh
AU  - Jye Lee
PY  - 2006/10
DA  - 2006/10
TI  - Image Restoration Using RO Learning Approach
BT  - 9th Joint International Conference on Information Sciences (JCIS-06)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/jcis.2006.22
DO  - https://doi.org/10.2991/jcis.2006.22
ID  - Li2006/10
ER  -