Pattern Recognition and Image Analysis

, Volume 25, Issue 3, pp 423–429 | Cite as

Algorithms for detection of plain copy-move regions in digital images

  • N. I. Glumov
  • A. V. Kuznetsov
  • V. V. Myasnikov
Applied Problems

Abstract

This paper presents two algorithms for detection of plain copy-move regions—fully matching fragments—in images. Both algorithms represent data of the fragment in the form of a hash value, where the hash function is constructed using different mathematical principles: probability-theoretical and numerical-theoretical. The paper presents a comparison of the proposed algorithms, as well as recommendations for their use.

Keywords

earth remote sensing data digital images plain copy-move region hash function bit projecting modular arithmetic principles plain copy-move region detection algorithm 

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Copyright information

© Pleiades Publishing, Ltd. 2015

Authors and Affiliations

  • N. I. Glumov
    • 2
  • A. V. Kuznetsov
    • 1
    • 2
  • V. V. Myasnikov
    • 2
  1. 1.Samara State Aerospace UniversitySamaraRussia
  2. 2.Image Processing Systems InstituteRussian Academy of SciencesSamaraRussia

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