Full Text:   <105>

CLC number: 

On-line Access: 2020-04-17

Received: 2019-12-24

Revision Accepted: 2020-03-14

Crosschecked: 0000-00-00

Cited: 0

Clicked: 206

Citations:  Bibtex RefMan EndNote GB/T7714

-   Go to

Article info.
Open peer comments

Frontiers of Information Technology & Electronic Engineering  1998 Vol.-1 No.-1 P.

10.1631/FITEE.1900727


An improved method for image denoising based on fractional-order integration


Author(s):  Li XU, Guo HUANG, Qing-li CHEN, Hong-yin QIN, Tao MEN, Yi-fei PU

Affiliation(s):  College of Physics and Electronic Engineering, Le shan Normal University, Leshan 614000, China; more

Corresponding email(s):   huangguoxuli@163.com

Key Words:  Fractional-order integral, Cauchy integral, Image denoising, Fractional gradient, Texture protection


Li XU, Guo HUANG, Qing-li CHEN, Hong-yin QIN, Tao MEN, Yi-fei PU. An improved method for image denoising based on fractional-order integration[J]. Frontiers of Information Technology & Electronic Engineering, 1998, -1(-1): .

@article{title="An improved method for image denoising based on fractional-order integration",
author="Li XU, Guo HUANG, Qing-li CHEN, Hong-yin QIN, Tao MEN, Yi-fei PU",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="-1",
number="-1",
pages="",
year="1998",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.1900727"
}

%0 Journal Article
%T An improved method for image denoising based on fractional-order integration
%A Li XU
%A Guo HUANG
%A Qing-li CHEN
%A Hong-yin QIN
%A Tao MEN
%A Yi-fei PU
%J Frontiers of Information Technology & Electronic Engineering
%V -1
%N -1
%P
%@ 2095-9184
%D 1998
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.1900727

TY - JOUR
T1 - An improved method for image denoising based on fractional-order integration
A1 - Li XU
A1 - Guo HUANG
A1 - Qing-li CHEN
A1 - Hong-yin QIN
A1 - Tao MEN
A1 - Yi-fei PU
J0 - Frontiers of Information Technology & Electronic Engineering
VL - -1
IS - -1
SP -
EP -
%@ 2095-9184
Y1 - 1998
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/FITEE.1900727


Abstract: 
Given that existing image-denoising methods damage the texture details of an image, a new method based on fractional integration is proposed. First, the fractional-order integral formula is deduced by generalizing the cauchy integral, and then the approximate value of the fractional-order integral operator is estimated by a numerical method. Finally, a fractional-order integral mask operator of any order is constructed in eight pixel directions of the image. The simulation results show that the proposed image-denoising method can protect the edge texture information of the image to the maximum extent possible while also removing the noise. Moreover, this method can obtain higher image feature values and better image vision after denoising than existing denoising methods because the texture protection mechanism is adopted during iterative processing.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Open peer comments: Debate/Discuss/Question/Opinion

<1>

Please provide your name, email address and a comment





Journal of Zhejiang University-SCIENCE, 38 Zheda Road, Hangzhou 310027, China
Tel: +86-571-87952783; E-mail: cjzhang@zju.edu.cn
Copyright © 2000 - Journal of Zhejiang University-SCIENCE