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Accurate Computation of Fractional-Order Exponential Moments
Joint Authors
Xu, Shujiang
Hao, Qixian
Ma, Bin
Wang, Chunpeng
Li, Jian
Source
Security and Communication Networks
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-08-03
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Information Technology and Computer Science
Abstract EN
Exponential moments (EMs) are important radial orthogonal moments, which have good image description ability and have less information redundancy compared with other orthogonal moments.
Therefore, it has been used in various fields of image processing in recent years.
However, EMs can only take integer order, which limits their reconstruction and antinoising attack performances.
The promotion of fractional-order exponential moments (FrEMs) effectively alleviates the numerical instability problem of EMs; however, the numerical integration errors generated by the traditional calculation methods of FrEMs still affect the accuracy of FrEMs.
Therefore, the Gaussian numerical integration (GNI) is used in this paper to propose an accurate calculation method of FrEMs, which effectively alleviates the numerical integration error.
Extensive experiments are carried out in this paper to prove that the GNI method can significantly improve the performance of FrEMs in many aspects.
American Psychological Association (APA)
Xu, Shujiang& Hao, Qixian& Ma, Bin& Wang, Chunpeng& Li, Jian. 2020. Accurate Computation of Fractional-Order Exponential Moments. Security and Communication Networks،Vol. 2020, no. 2020, pp.1-16.
https://search.emarefa.net/detail/BIM-1208586
Modern Language Association (MLA)
Xu, Shujiang…[et al.]. Accurate Computation of Fractional-Order Exponential Moments. Security and Communication Networks No. 2020 (2020), pp.1-16.
https://search.emarefa.net/detail/BIM-1208586
American Medical Association (AMA)
Xu, Shujiang& Hao, Qixian& Ma, Bin& Wang, Chunpeng& Li, Jian. Accurate Computation of Fractional-Order Exponential Moments. Security and Communication Networks. 2020. Vol. 2020, no. 2020, pp.1-16.
https://search.emarefa.net/detail/BIM-1208586
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1208586