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Enhancing Image Denoising Performance of Bidimensional Empirical Mode Decomposition by Improving the Edge Effect
Joint Authors
An, Feng-Ping
Lin, Da-Chao
Zhou, Xian-Wei
Sun, Zhihui
Source
International Journal of Antennas and Propagation
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-10-12
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Bidimensional empirical mode decomposition (BEMD) algorithm, with high adaptive ability, provides a suitable tool for the noisy image processing, and, however, the edge effect involved in its operation gives rise to a problem—how to obtain reliable decomposition results to effectively remove noises from the image.
Accordingly, we propose an approach to deal with the edge effect caused by BEMD in the decomposition of an image signal and then to enhance its denoising performance.
This approach includes two steps, in which the first one is an extrapolation operation through the regression model constructed by the support vector machine (SVM) method with high generalization ability, based on the information of the original signal, and the second is an expansion by the closed-end mirror expansion technique with respect to the extrema nearest to and beyond the edge of the data resulting from the first operation.
Applications to remove the Gaussian white noise, salt and pepper noise, and random noise from the noisy images show that the edge effect of the BEMD can be improved effectively by the proposed approach to meet requirement of the reliable decomposition results.
They also illustrate a good denoising effect of the BEMD by improving the edge effect on the basis of the proposed approach.
Additionally, the denoised image preserves information details sufficiently and also enlarges the peak signal-to-noise ratio.
American Psychological Association (APA)
An, Feng-Ping& Lin, Da-Chao& Zhou, Xian-Wei& Sun, Zhihui. 2015. Enhancing Image Denoising Performance of Bidimensional Empirical Mode Decomposition by Improving the Edge Effect. International Journal of Antennas and Propagation،Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1065169
Modern Language Association (MLA)
An, Feng-Ping…[et al.]. Enhancing Image Denoising Performance of Bidimensional Empirical Mode Decomposition by Improving the Edge Effect. International Journal of Antennas and Propagation No. 2015 (2015), pp.1-12.
https://search.emarefa.net/detail/BIM-1065169
American Medical Association (AMA)
An, Feng-Ping& Lin, Da-Chao& Zhou, Xian-Wei& Sun, Zhihui. Enhancing Image Denoising Performance of Bidimensional Empirical Mode Decomposition by Improving the Edge Effect. International Journal of Antennas and Propagation. 2015. Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1065169
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1065169