Ваш браузер устарел.

Для того, чтобы использовать все возможности сайта, загрузите и установите один из этих браузеров.

скрыть

Article

  • Title

    Accuracy improvement of cloning area detection

  • Authors

    Lebedeva Yelena Yu.
    Kobozeva Alla А.
    Zorilo Viktoriya V.

  • Subject

    COMPUTER AND INFORMATION NETWORKS AND SYSTEMS. MANUFACTURING AUTOMATION

  • Year 2016
    Issue 3(50)
    UDC 004.932:004.052.42
    DOI 10.15276/opu.3.50.2016.09
    Pages 47-53
  • Abstract

    In the work the modification of a method of detection and localization of regions of the integrity violation in the digital image obtained as a result of cloning is developed. Aim: The aim of the work is to increase the accuracy of detection of integrity violation regions of the digital image by development of modification of a method of detection and localization of cloning regions based on the block oriented approach due to simultaneous use in case of expertize of the image with square, triangular, round blocks and of irregular shape blocks. Materials and Methods: Further development of the block oriented approach to the solution of problem of cloning results detection in digital image is provided. Modification of the method of detection and localization of the cloning regions developed by authors earlier, based on the accounting of closeness of the matrix blocks which is quantitatively evaluated by means of different variants of the metrics assignment is offered. Results: The technique of simultaneous use of square, triangular, round blocks and blocks of irregular shape in case of the expertize of the image based on the block oriented approach is developed. Providing the computational experiment the accuracy increase of determination of integrity violation regions of the digital image when using of the offered modification of the method of detection and localization of fields of cloning in case of simultaneous use in case of expertize of different partitioning types blocks is set: the relative value of the area of the revealed region from real region of a clone increases by 1.6 times in comparison with results of operation of algorithmic implementation of the method taken as a basis.

  • Keywords detection accuracy, falsification of image, falsification detection, cloning
  • Viewed: 355 Dowloaded: 2
  • Download Article
  • References

    Література
    1.    Лебедева, Е.Ю. Обнаружение клонированных участков изображений в задачах выявления фальсификации / Е.Ю. Лебедева // Труды двенадцатой международной научно-практической конференции «Современные информационные и электронные технологии» (СИЭТ–2011), 23–27 мая, 2011 г., Одесса, Украина. — Одесса: Политехпериодика, 2011. — С. 175.
    2.    Лебедева, Е.Ю. Использование треугольных блоков для определения области фальсификации в изображениях / Е.Ю. Лебедева, П.Е. Баранов // Інформаційна безпека. — 2011. — № 2(6). — С. 139—144.
    3.    Lebedeva, Ye.Yu. Improvement of the accuracy of detection of cloned regions in digital images / Ye.Yu. Lebedeva // Інформатика та математичні методи в моделюванні. — 2014. — Т. 4, № 3. — С. 278—284.
    4.    Lebedeva, E. Using circular blocks for detection of forged regions in digital images / E. Lebedeva // Інформатика та математичні методи в моделюванні. — 2015. — Т. 5, № 1. — С. 71—76.
    5.    Нариманова, Е.В. Исследование эффекта двойного квантования и его использование при обнаружении фальсификации ЦИ / Е.В. Нариманова // Вісник Східноукраїнського національного університету імені Володимира Даля. — 2008. — № 8(126). — С. 47—55.

    References

    1.    Lebedeva, Ye.Yu. Detection of cloned image areas for identification of falsification. In Proceedings of 12th International Scientific-Practical Conference “Modern Information and Electronic Technologies” (MIET-2011) (p. 191). Odessa: Politehperiodika.
    2.    Lebedyeva, O., & Baranov, P.E. Use of triangle blocks for detecting of regions of image forensics. Informative Safety, 2, 139—144.
    3.    Lebedeva, Ye.Yu. (2014). Improvement of the accuracy of detection of cloned regions in digital images. Informatics and Mathematical Methods in Simulation, 4(3), 278—284.
    4.    Lebedeva, E. (2015). Using circular blocks for detection of forged regions in digital images. Informatics and Mathematical Methods in Simulation, 5(1), 71—76.
    5.    Narimanova, E.V. (2008). The study of double quantization effect and its use in the detection of the falsification of digital images. Bulletin of Volodymyr Dahl East Ukrainian National University, 8, 47—55.

  • Creative Commons License by Author(s)