MATHEMATICAL MODEL FOR DETECTION OF INTENTIONALLY CAUSED CHANGES IN THE IMAGE CONTENT

Authors

  • Maja Ljubičić Mijić Autor
  • Nebojša Ralević Autor

DOI:

https://doi.org/10.24867/14JV01Ljubicic

Keywords:

Intentionally induced changes in image content, Fuzzy metric, Metaheuristics, Cluster, Variable Neighborhood Search

Abstract

The paper first presents methods for detecting intentionally induced changes in image content as well as an overview of metaheuristics as a set of optimization techniques. The main part of the paper is the basics of fuzzy metrics and formulation of a method for detecting copy-paste image alteration attacks using the VNS algorithm (Variable Neighborhood Search). Finally, elaborated examples of application are given.

References

[1] Danijela Karaklić, Prostori sa fazi rastojanjem i primena u obradi slike, Doktorska disertacija, Novi Sad 2019
[2] Nataša S. Milosavljević, Nebojša M. Ralević, Fuzzy metaheuristic algorithm for Copy-move forgery detection in image, IWCIA 2020, 273-281
[3] Aleksandra Pavlović, Detekcija namerno izazvanih
promena u sadržaju slike, Doktorska disertacija, Beograd 2019
[4] A. George and P. Veeramani, On some results of analysis for fuzzy metric spaces. Fuzzy Sets Syst., 1997
[5] Nebojša M. Ralević, Danijela Karaklić and Neda Pištinjat, Fuzzy metric and its applications in removing the image noise. Soft Computing, 2018
[6] A. Roli and C.Blum, Metaheuristics in combinatorial optimization: overview and conceptual comparison. ACM Computing Surveys,vol. 3, pp. 268-308, 2003

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Published

2021-10-08

Issue

Vol. 36 No. 10 (2021): Proceedings of the Faculty of Technical Sciences

Section

Mathematics in Engineering