Image restoration using RO learning approach

Chunshien Li; Chan Hung Yeh; Jye Lee

doi:10.2991/jcis.2006.22

Image restoration using RO learning approach

Chunshien Li^*, Chan Hung Yeh, Jye Lee

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Proceedings of the 9th Joint Conference on Information Sciences, JCIS 2006
DOIs	https://doi.org/10.2991/jcis.2006.22
State	Published - 2006
Externally published	Yes
Event	9th Joint Conference on Information Sciences, JCIS 2006 - Taiwan, ROC, Taiwan Duration: 08 10 2006 → 11 10 2006

Publication series

Name	Proceedings of the 9th Joint Conference on Information Sciences, JCIS 2006
Volume	2006

Conference

Conference	9th Joint Conference on Information Sciences, JCIS 2006
Country/Territory	Taiwan
City	Taiwan, ROC
Period	08/10/06 → 11/10/06

Keywords

Adaptive filter
Block processing
Machine-learning
Random-optimization

Access to Document

10.2991/jcis.2006.22

Cite this

@inproceedings{61f04fa5853e4f2e82a2a1f7855ecd60,

title = "Image restoration using RO learning approach",

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.",

keywords = "Adaptive filter, Block processing, Machine-learning, Random-optimization",

author = "Chunshien Li and Yeh, {Chan Hung} and Jye Lee",

year = "2006",

doi = "10.2991/jcis.2006.22",

language = "英语",

isbn = "9078677015",

series = "Proceedings of the 9th Joint Conference on Information Sciences, JCIS 2006",

booktitle = "Proceedings of the 9th Joint Conference on Information Sciences, JCIS 2006",

note = "9th Joint Conference on Information Sciences, JCIS 2006 ; Conference date: 08-10-2006 Through 11-10-2006",

}

Li, C, Yeh, CH & Lee, J 2006, Image restoration using RO learning approach. in Proceedings of the 9th Joint Conference on Information Sciences, JCIS 2006., FTT-37, Proceedings of the 9th Joint Conference on Information Sciences, JCIS 2006, vol. 2006, 9th Joint Conference on Information Sciences, JCIS 2006, Taiwan, ROC, Taiwan, 08/10/06. https://doi.org/10.2991/jcis.2006.22

Image restoration using RO learning approach. / Li, Chunshien; Yeh, Chan Hung; Lee, Jye.
Proceedings of the 9th Joint Conference on Information Sciences, JCIS 2006. 2006. FTT-37 (Proceedings of the 9th Joint Conference on Information Sciences, JCIS 2006; Vol. 2006).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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AU - Li, Chunshien

AU - Yeh, Chan Hung

AU - Lee, Jye

PY - 2006

Y1 - 2006

N2 - 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.

AB - 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.

KW - Adaptive filter

KW - Block processing

KW - Machine-learning

KW - Random-optimization

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U2 - 10.2991/jcis.2006.22

DO - 10.2991/jcis.2006.22

M3 - 会议稿件

AN - SCOPUS:33847760204

SN - 9078677015

SN - 9789078677017

T3 - Proceedings of the 9th Joint Conference on Information Sciences, JCIS 2006

BT - Proceedings of the 9th Joint Conference on Information Sciences, JCIS 2006

T2 - 9th Joint Conference on Information Sciences, JCIS 2006

Y2 - 8 October 2006 through 11 October 2006

ER -

Image restoration using RO learning approach

Abstract

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Keywords

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