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Denoising Algorithm Based on Generalized Fractional Integral Operator with Two Parameters
Joint Authors
Jalab, Hamid A.
Ibrahim, Rabha W.
Source
Discrete Dynamics in Nature and Society
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-05-08
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Jalab, Hamid A.& Ibrahim, Rabha W.. 2012. Denoising Algorithm Based on Generalized Fractional Integral Operator with Two Parameters. Discrete Dynamics in Nature and Society،Vol. 2012, no. 2012, pp.1-14.
https://search.emarefa.net/detail/BIM-479034
Modern Language Association (MLA)
Jalab, Hamid A.& Ibrahim, Rabha W.. Denoising Algorithm Based on Generalized Fractional Integral Operator with Two Parameters. Discrete Dynamics in Nature and Society No. 2012 (2012), pp.1-14.
https://search.emarefa.net/detail/BIM-479034
American Medical Association (AMA)
Jalab, Hamid A.& Ibrahim, Rabha W.. Denoising Algorithm Based on Generalized Fractional Integral Operator with Two Parameters. Discrete Dynamics in Nature and Society. 2012. Vol. 2012, no. 2012, pp.1-14.
https://search.emarefa.net/detail/BIM-479034
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-479034