English  |  正體中文  |  简体中文  |  Items with full text/Total items : 26999/38800
Visitors : 2393606      Online Users : 61
RC Version 4.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Adv. Search
LoginUploadHelpAboutAdminister

Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/40147

Title: Quantitative Comparison of Speckle Smoothing for Ultrasound Images Using Besov Norm
Authors: Mong-Shu Lee;Mu-Yen Chen;Cho-Li Yen.
Contributors: 國立臺灣海洋大學:資訊工程學系
Date: 2013
Issue Date: 2017-01-16T01:45:41Z
Publisher: Current Bioinformatics
Abstract: Abstract: This paper presents a novel speckle smoothing method for ultrasound images. This smoothing method is designed to preserve both the edges and structural details of the image. Speckle noise is suppressed by extending the smoothness of the image in the wavelet-based Hölder spaces. We try to solve the performance of speckle reduction problem from the viewpoint of Besov norm. A comparison of smoothing speckles with the other well-known methods is provided via the size of Besov norm. We validate the proposed method using synthetic data, simulated and real ultrasound images. Experiments demonstrate the performance improvement of the proposed method over other state-of-the-art methods in terms of image quality and edge preservation indices.
Relation: 8
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/40147
Appears in Collections:[資訊工程學系] 期刊論文

Files in This Item:

File Description SizeFormat
index.html0KbHTML52View/Open


All items in NTOUR are protected by copyright, with all rights reserved.

 


著作權政策宣告: 本網站之內容為國立臺灣海洋大學所收錄之機構典藏,無償提供學術研究與公眾教育等公益性使用,請合理使用本網站之內容,以尊重著作權人之權益。
網站維護: 海大圖資處 圖書系統組
DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback