relation: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/1200/
title: An Effective Example-based Denoising Method for CT Images using Markov Random Field
creator: Trinh, Dinh Hoan
creator: Nguyen, Thanh Trung
creator: Nguyen, Linh Trung
subject: Communications
subject: Electronics and Communications
description: We propose in this paper a novel example-based method for Gaussian denoising of CT images. In the proposed method, denoising is performed with the help of a set of example CT images. We construct, from the example images, a database consisting of high and low-frequency patch pairs and then use the Markov random field to denoise. The proposed denoising method can restore the high-frequency band that is often lost by the traditional noise-filters. Moreover, it is very effective for images corrupted by heavy noise. Experimental results also show that the proposed method outperforms other state-of-the-art denoising methods both in the objective and subjective evaluations.
date: 2014-10
type: Conference or Workshop Item
type: PeerReviewed
identifier:   Trinh, Dinh Hoan and Nguyen, Thanh Trung and Nguyen, Linh Trung  (2014) An Effective Example-based Denoising Method for CT Images using Markov Random Field.  In: The 7th International Conference on Advanced Technologies for Communications (ATC 2014), 15-17 October 2014, Hanoi, Vietnam.