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Impulse noise reduction for texture images using real word spelling correction algorithm and local binary patterns
Joint Authors
Fekriershad, Shervan
Fakhrahmad, Sayyid
Tajeripour, Farshad
Source
The International Arab Journal of Information Technology
Issue
Vol. 15, Issue 6 (30 Nov. 2018)7 p.
Publisher
Publication Date
2018-11-30
Country of Publication
Jordan
No. of Pages
7
Main Subjects
Information Technology and Computer Science
Abstract EN
Noise Reduction is one of the most important steps in very broad domain of image processing applications such as face identification, motion tracking, visual pattern recognition and etc.
Texture images are covered a huge number of images where are collected as database in these applications.
In this paper an approach is proposed for noise reduction in texture images which is based on real word spelling correction theory in natural language processing.The proposed approach is included two main steps.
In the first step, most similar pixels to noisy desired pixel in terms of textural features are generated using local binary pattern.
Next, best one of the candidates is selected based on two-gram algorithm.
The quality of the proposed approach is compared with some of state of the art noise reduction filters in the result part.
High accuracy, Low blurring effect, and low computational complexity are some advantages of the proposed approach.
American Psychological Association (APA)
Fekriershad, Shervan& Fakhrahmad, Sayyid& Tajeripour, Farshad. 2018. Impulse noise reduction for texture images using real word spelling correction algorithm and local binary patterns. The International Arab Journal of Information Technology،Vol. 15, no. 6.
https://search.emarefa.net/detail/BIM-874009
Modern Language Association (MLA)
Fekriershad, Shervan…[et al.]. Impulse noise reduction for texture images using real word spelling correction algorithm and local binary patterns. The International Arab Journal of Information Technology Vol. 15, no. 6 (Nov. 2018).
https://search.emarefa.net/detail/BIM-874009
American Medical Association (AMA)
Fekriershad, Shervan& Fakhrahmad, Sayyid& Tajeripour, Farshad. Impulse noise reduction for texture images using real word spelling correction algorithm and local binary patterns. The International Arab Journal of Information Technology. 2018. Vol. 15, no. 6.
https://search.emarefa.net/detail/BIM-874009
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-874009