Publisher of Iranian Journals and Conference Proceedings

Please waite ..
Publisher of Iranian Journals and Conference Proceedings
Login |Register |Help |عضویت کتابخانه ها
Paper
Title

Using Heavy-Tailed Levy Model in Nonsubsam pled Shearlet Transform Domain for Ultrasound Image Despeckling

مجله پیشرفت در تحقیقات کامپیوتری، دوره: 8، شماره: 2
Year: 1396
COI: JR_JACR-8-2_009
Language: EnglishView: 253
This Paper With 14 Page And PDF Format Ready To Download

Buy and Download

با استفاده از پرداخت اینترنتی بسیار سریع و ساده می توانید اصل این Paper را که دارای 14 صفحه است به صورت فایل PDF در اختیار داشته باشید.
آدرس ایمیل خود را در کادر زیر وارد نمایید:

Authors

Saeed Jafari - Dep artment of Electrical and Eleectronic E ngineeri ng, Tehran South Branch, Islamic Aza d University, Tehran, Iran
Sedigheh Ghofrani - Dep artment of Electrical and Eleectronic E ngineeri ng, Tehran South Branch, Islamic Aza d University, Tehran, Iran

Abstract:

F or any coherent imaging systems including ultrasound, synthhetic aperture radar and optiical laser, the multiplicative speckle noise de grades bo th the spatial and contrast resolution of the image. So, speckle suppression or despecklinng is necessary before processing like image seggmentation, edge d etection, and in ge neral any medical diagnosis. It is quite a min d-numbing task to analyze the corru pted imag es. Amongg many methods th at have beeen proposed to perform this task either in spatial domain or in transformed domain, there exists a class of approaches that use coefficient moddelling in transform domain. The pur pose of the paper i s developiing a novel despeckling methhod in noonsubsampled shearlet tran sform (N SST) based on coefficient modelling. B ayesian maximum a posteriori (MAP ) estimator is used where heavy-tailed Lévy (HTL) disstribution is assumed for estimating the noise-free NSST coefficients. The main contribution of this paper is connsidering HTL for modeling the NSST coefficients for the first time becausee of its low computational complexity. The proposed algorith m maintains a balance bet ween speckle suppre ssion and feature preserva tion. Finally, exp eriments show that the propo sed met hod outperforms others in terms of visual evaluation and assessment par ameters.

Keywords:

Paper COI Code

This Paper COI Code is JR_JACR-8-2_009. Also You can use the following address to link to this article. This link is permanent and is used as an article registration confirmation in the Civilica reference:

https://civilica.com/doc/992634/

How to Cite to This Paper:

If you want to refer to this Paper in your research work, you can simply use the following phrase in the resources section:
Jafari, Saeed and Ghofrani, Sedigheh,1396,Using Heavy-Tailed Levy Model in Nonsubsam pled Shearlet Transform Domain for Ultrasound Image Despeckling,https://civilica.com/doc/992634

Research Info Management

Certificate | Report | من نویسنده این مقاله هستم

اطلاعات استنادی این Paper را به نرم افزارهای مدیریت اطلاعات علمی و استنادی ارسال نمایید و در تحقیقات خود از آن استفاده نمایید.

Scientometrics

The specifications of the publisher center of this Paper are as follows:
Type of center: Azad University
Paper count: 11,765
In the scientometrics section of CIVILICA, you can see the scientific ranking of the Iranian academic and research centers based on the statistics of indexed articles.

New Papers

New Researchs


This Researchs recently indexed in civilica

Share this page

More information about COI

COI stands for "CIVILICA Object Identifier". COI is the unique code assigned to articles of Iranian conferences and journals when indexing on the CIVILICA citation database.

The COI is the national code of documents indexed in CIVILICA and is a unique and permanent code. it can always be cited and tracked and assumed as registration confirmation ID.

Support