@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",
}