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.
Copyright
© The authors. This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited. See for details: https://creativecommons.org/licenses/by-nc/4.0/
Open Access | Under Creative Commons license CC BY-NC 4.0

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@inproceedings{Li2006,
  title={Image Restoration Using RO Learning Approach},
  author={Li, Chunshien and Yeh, Chan-Hung and Lee, Jye},
  year={2006},
  booktitle={9th Joint International Conference on Information Sciences (JCIS-06)},
  issn={1951-6851},
  isbn={978-90-78677-01-7},
  url={http://dx.doi.org/10.2991/jcis.2006.22},
  doi={10.2991/jcis.2006.22},
  publisher={Atlantis Press}
}
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