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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/27971

Title: Speckle Suppression with Edges Preservation for Ultrasound Images
Authors: Mong-Shu Lee;Cho-Li Yen;Shyh-Kuang Ueng
Contributors: NTOU:Department of Computer Science and Engineering
Keywords: noise;image resolution;speckle;diffusion
Date: 2011-10-11
Issue Date: 2011-10-21T02:34:47Z
Publisher: International Symposium on Computational Models for Life Sciences,2011/American Institute of Physics
Abstract: Abstract:In this paper, a novel speckle reduction method is proposed for ultrasound images. This denoising method is designed to preserve both the edges and structural details of the image. Speckle noise is suppressed, without smearing the edges, by extending the smoothness of the image in the wavelet‐based Hölder spaces. 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 and simulated 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: 1371, pp.44-54
URI: http://ntour.ntou.edu.tw/handle/987654321/27971
Appears in Collections:[資訊工程學系] 期刊論文

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