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
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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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This is an open access article distributed under the CC BY-NC license.

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Proceedings
9th Joint International Conference on Information Sciences (JCIS-06)
Publication Date
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ISBN
978-90-78677-01-7
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  - NaN/NaN
DA  - NaN/NaN
TI  - Image Restoration Using RO Learning Approach
BT  - 9th Joint International Conference on Information Sciences (JCIS-06)
PB  - Atlantis Press
UR  - https://doi.org/10.2991/jcis.2006.22
DO  - https://doi.org/10.2991/jcis.2006.22
ID  - LiNaN/NaN
ER  -