An Image Filter Based on Multiobjective Genetic Algorithm and Shearlet Transformation
Joint Authors
Hu, Kai
Fan, Zhi-yong
Sun, Quan-sen
Ji, Ze-xuan
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-09-30
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
Rician noise pollutes magnetic resonance imaging (MRI) data, making data’s postprocessing difficult.
In order to remove this noise and avoid loss of details as much as possible, we proposed a filter algorithm using both multiobjective genetic algorithm (MOGA) and Shearlet transformation.
Firstly, the multiscale wavelet decomposition is applied to the target image.
Secondly, the MOGA target function is constructed by evaluation methods, such as signal-to-noise ratio (SNR) and mean square error (MSE).
Thirdly, MOGA is used with optimal coefficients of Shearlet wavelet threshold value in a different scale and a different orientation.
Finally, the noise-free image could be obtained through inverse wavelet transform.
At the end of the paper, experimental results show that this proposed algorithm eliminates Rician noise more effectively and yields better peak signal-to-noise ratio (PSNR) gains compared with other traditional filters.
American Psychological Association (APA)
Fan, Zhi-yong& Sun, Quan-sen& Ji, Ze-xuan& Hu, Kai. 2013. An Image Filter Based on Multiobjective Genetic Algorithm and Shearlet Transformation. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-1009454
Modern Language Association (MLA)
Fan, Zhi-yong…[et al.]. An Image Filter Based on Multiobjective Genetic Algorithm and Shearlet Transformation. Mathematical Problems in Engineering No. 2013 (2013), pp.1-7.
https://search.emarefa.net/detail/BIM-1009454
American Medical Association (AMA)
Fan, Zhi-yong& Sun, Quan-sen& Ji, Ze-xuan& Hu, Kai. An Image Filter Based on Multiobjective Genetic Algorithm and Shearlet Transformation. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-1009454
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1009454