Denoising Algorithm Based on Generalized Fractional Integral Operator with Two Parameters

Denoising Algorithm Based on Generalized Fractional Integral Operator with Two Parameters

In this paper, a novel digital image denoising algorithm called generalized fractional integral filter is introduced based on the generalized Srivastava-Owa fractional integral operator. The structures of n×n fractional masks of this algorithm are constructed. The denoising performance is measured...

Full description

Bibliographic Details
Main Authors: Hamid A. Jalab, Rabha W. Ibrahim
Format: Article
Language:English
Published: Hindawi Limited 2012-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/2012/529849
id doaj-0e934747e37c4d759cadf54e4ca4a2e8
record_format Article
spelling doaj-0e934747e37c4d759cadf54e4ca4a2e82020-11-24T21:47:19ZengHindawi LimitedDiscrete Dynamics in Nature and Society1026-02261607-887X2012-01-01201210.1155/2012/529849529849Denoising Algorithm Based on Generalized Fractional Integral Operator with Two ParametersHamid A. Jalab0Rabha W. Ibrahim1Faculty of Computer Science and Information Technology, University of Malaya, 50603 Kuala Lumpur, MalaysiaInstitute of Mathematical Sciences, University of Malaya, 50603 Kuala Lumpur, MalaysiaIn this paper, a novel digital image denoising algorithm called generalized fractional integral filter is introduced based on the generalized Srivastava-Owa fractional integral operator. The structures of n×n fractional masks of this algorithm are constructed. The denoising performance is measured by employing experiments according to visual perception and PSNR values. The results demonstrate that apart from enhancing the quality of filtered image, the proposed algorithm also reserves the textures and edges present in the image. Experiments also prove that the improvements achieved are competent with the Gaussian smoothing filter.http://dx.doi.org/10.1155/2012/529849
collection DOAJ
language English
format Article
sources DOAJ
author Hamid A. Jalab
Rabha W. Ibrahim
spellingShingle Hamid A. Jalab
Rabha W. Ibrahim
Denoising Algorithm Based on Generalized Fractional Integral Operator with Two Parameters
Discrete Dynamics in Nature and Society
author_facet Hamid A. Jalab
Rabha W. Ibrahim
author_sort Hamid A. Jalab
title Denoising Algorithm Based on Generalized Fractional Integral Operator with Two Parameters
title_short Denoising Algorithm Based on Generalized Fractional Integral Operator with Two Parameters
title_full Denoising Algorithm Based on Generalized Fractional Integral Operator with Two Parameters
title_fullStr Denoising Algorithm Based on Generalized Fractional Integral Operator with Two Parameters
title_full_unstemmed Denoising Algorithm Based on Generalized Fractional Integral Operator with Two Parameters
title_sort denoising algorithm based on generalized fractional integral operator with two parameters
publisher Hindawi Limited
series Discrete Dynamics in Nature and Society
issn 1026-0226
1607-887X
publishDate 2012-01-01
description In this paper, a novel digital image denoising algorithm called generalized fractional integral filter is introduced based on the generalized Srivastava-Owa fractional integral operator. The structures of n×n fractional masks of this algorithm are constructed. The denoising performance is measured by employing experiments according to visual perception and PSNR values. The results demonstrate that apart from enhancing the quality of filtered image, the proposed algorithm also reserves the textures and edges present in the image. Experiments also prove that the improvements achieved are competent with the Gaussian smoothing filter.
url http://dx.doi.org/10.1155/2012/529849
work_keys_str_mv AT hamidajalab denoisingalgorithmbasedongeneralizedfractionalintegraloperatorwithtwoparameters
AT rabhawibrahim denoisingalgorithmbasedongeneralizedfractionalintegraloperatorwithtwoparameters
_version_ 1725897737885450240

Similar Items