2018年6月1日
Linear-time algorithm in Bayesian image denoising based on gaussian markov random field
IEICE Transactions on Information and Systems
- ,
- ,
- ,
- 巻
- E101D
- 号
- 6
- 開始ページ
- 1629
- 終了ページ
- 1639
- 記述言語
- 英語
- 掲載種別
- 研究論文(学術雑誌)
- DOI
- 10.1587/transinf.2017EDP7346
- 出版者・発行元
- Institute of Electronics, Information and Communication, Engineers, IEICE
In this paper, we consider Bayesian image denoising based on a Gaussian Markov random field (GMRF) model, for which we propose an new algorithm. Our method can solve Bayesian image denoising problems, including hyperparameter estimation, in O(n)-time, where n is the number of pixels in a given image. From the perspective of the order of the computational time, this is a state-of-the-art algorithm for the present problem setting. Moreover, the results of our numerical experiments we show our method is in fact effective in practice.
- ID情報
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- DOI : 10.1587/transinf.2017EDP7346
- ISSN : 1745-1361
- ISSN : 0916-8532
- SCOPUS ID : 85048012334