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