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...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2012-01-01
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| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2012/529849 |
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| _version_ | 1832548863242665984 |
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| author | Hamid A. Jalab Rabha W. Ibrahim |
| author_facet | Hamid A. Jalab Rabha W. Ibrahim |
| author_sort | Hamid A. Jalab |
| collection | DOAJ |
| 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. |
| format | Article |
| id | doaj-art-0e934747e37c4d759cadf54e4ca4a2e8 |
| institution | Kabale University |
| issn | 1026-0226 1607-887X |
| language | English |
| publishDate | 2012-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj-art-0e934747e37c4d759cadf54e4ca4a2e82025-02-03T06:12:48ZengWileyDiscrete 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 |
| spellingShingle | Hamid A. Jalab Rabha W. Ibrahim Denoising Algorithm Based on Generalized Fractional Integral Operator with Two Parameters Discrete Dynamics in Nature and Society |
| title | 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_short | Denoising Algorithm Based on Generalized Fractional Integral Operator with Two Parameters |
| title_sort | denoising algorithm based on generalized fractional integral operator with two parameters |
| url | http://dx.doi.org/10.1155/2012/529849 |
| work_keys_str_mv | AT hamidajalab denoisingalgorithmbasedongeneralizedfractionalintegraloperatorwithtwoparameters AT rabhawibrahim denoisingalgorithmbasedongeneralizedfractionalintegraloperatorwithtwoparameters |