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Linear-Time Algorithm in Bayesian Image Denoising based on Gaussian Markov Random Field
Muneki YASUDA Junpei WATANABE Shun KATAOKA Kazuyuki TANAKA
IEICE TRANSACTIONS on Information and Systems
Publication Date: 2018/06/01
Online ISSN: 1745-1361
Type of Manuscript: PAPER
Category: Image Processing and Video Processing
Bayesian image denoising, Gaussian Markov random field, EM algorithm, mean-field method, linear-time algorithm,
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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.