relation: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/2187/
title: An efficient example-based method for CT image denoising based on frequency decomposition and sparse representation
creator: Nguyen, Thanh Trung
creator: Trinh, Dinh Hoan
creator: Nguyen, Linh Trung
subject: Electronics and Communications
description: In this paper we present an effective example-based method for Gaussian denoising of CT images. In the proposed method, an image is considered as a sum of the three frequency bands: low-band, middle-band and high-band. We assume that the noise component is often mixed into the middle-band and the high-band and thus in order to better preserve the high-frequency details in the image we perform denoising on these two bands. The proposed denoising method is based on a sparse representation model in which a set of standard images is used to construct the example dictionaries. The experimental results demonstrate that the proposed method can preserved very good the high-frequency details. The objective and subjective comparisons also show that our method outperforms other state-of-the-art denoising methods.
date: 2016
type: Conference or Workshop Item
type: PeerReviewed
format: application/pdf
language: en
identifier: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/2187/1/1570294364.pdf
identifier:   Nguyen, Thanh Trung and Trinh, Dinh Hoan and Nguyen, Linh Trung  (2016) An efficient example-based method for CT image denoising based on frequency decomposition and sparse representation.  In: 9th International Conference on Advanced Technologies for Communications (ATC), 12-14 October, Hanoi, Vietnam.     
relation: http://dx.doi.org/10.1109/ATC.2016.7764792