Digital Image Filtering with New Generalized Order-k Jacobsthal Numbers

Authors

  • Hossen Mohammed Mahdi Ahmed Statistics Department, Sebha University
  • Ahmet Daşdemir Department of Mathematics, Kastamonu University, Turkey

DOI:

https://doi.org/10.7546/CRABS.2022.08.02

Keywords:

generalized order-k Jacobsthal, Jacobsthal–Lucas numbers, image processing, filtering

Abstract

 In this paper, a new generalized order-k Jacobsthal and Jacobsthal–Lucas numbers are investigated and used in the digital image processing for filtering of the image. The Gaussian, Morphological operation with “Motion”, Morphological operation with “Disk” specification, Poisson method and Jacobsthal method is used for the filtering. The Structural similarity, Multiscale structural similarity and Peak SNR are used for evaluation of the results. For implementation of the proposed method the Matlab 2021a version is used.

Author Biographies

Hossen Mohammed Mahdi Ahmed, Statistics Department, Sebha University

Mailing Address:
Statistics Department,
Sebha University
Sebha, Libya

E-mail: alremal68@gmail.com

Ahmet Daşdemir, Department of Mathematics, Kastamonu University, Turkey

Mailing Address:
Department of Mathematics,
Kastamonu University,
Kastamonu, Turkey

E-mail: ahmetdasdemir37@gmail.com

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Published

31-08-2022

How to Cite

[1]
H. Ahmed and A. Daşdemir, “Digital Image Filtering with New Generalized Order-k Jacobsthal Numbers”, C. R. Acad. Bulg. Sci., vol. 75, no. 8, pp. 1105–1114, Aug. 2022.

Issue

Vol. 75 No. 8 (2022)

Section

Mathematics

License

Copyright (c) 2022 Proceedings of the Bulgarian Academy of Sciences

Copyright (c) 2022 Proceedings of the Bulgarian Academy of Sciences

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