Optimum threshold parameter estimation of wavelet coefficients using fisher discriminant analysis for speckle noise reduction
Joint Authors
Rahman, Muhammad Mutiur
Mithun Kumar P. K.
Shurif al-Din, Muhammad
Source
The International Arab Journal of Information Technology
Issue
Vol. 11, Issue 6 (30 Nov. 2014)9 p.
Publisher
Publication Date
2014-11-30
Country of Publication
Jordan
No. of Pages
9
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
Optimizing threshold value of wavelet coefficient is an important task in speckle noise reduction in the wavelet domain.
Without proper selection of threshold value image information may be lost, which is unwanted.
In this paper we proposed optimum threshold parameter using Fisher Discriminant Analysis (FDA) for determining the optimum threshold value of wavelet coefficient for the best speckle noise reduction.
It also preserves edges without destroying image information.
The method is compared with the several other classical thresholding methods on variety of images and the experimental results confirm significant improvement over existing methods.
American Psychological Association (APA)
Rahman, Muhammad Mutiur& Mithun Kumar P. K.& Shurif al-Din, Muhammad. 2014. Optimum threshold parameter estimation of wavelet coefficients using fisher discriminant analysis for speckle noise reduction. The International Arab Journal of Information Technology،Vol. 11, no. 6.
https://search.emarefa.net/detail/BIM-380139
Modern Language Association (MLA)
Rahman, Muhammad Mutiur…[et al.]. Optimum threshold parameter estimation of wavelet coefficients using fisher discriminant analysis for speckle noise reduction. The International Arab Journal of Information Technology Vol. 11, no. 6 (Nov. 2014).
https://search.emarefa.net/detail/BIM-380139
American Medical Association (AMA)
Rahman, Muhammad Mutiur& Mithun Kumar P. K.& Shurif al-Din, Muhammad. Optimum threshold parameter estimation of wavelet coefficients using fisher discriminant analysis for speckle noise reduction. The International Arab Journal of Information Technology. 2014. Vol. 11, no. 6.
https://search.emarefa.net/detail/BIM-380139
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-380139