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  • Title

    Method of photomontage detection under conditions of limitations absence for photos falsification

  • Authors

    Zorilo Viktoriya V.
    Lebedeva Yelena Yu.
    Kozina Maria O.
    Belush Daria S.

  • Subject


  • Year 2016
    Issue 2(49)
    DOI 10.15276/opu.2.49.2016.12
    Pages 84-87
  • Abstract

    The widespread using of fake pictures in information wars, lawsuits, politics, etc., needs to develop a new detection methods of photomontage that effective without the expert. One is a method of photomontage identifying based on the analysis of singular values of matrix blocks of digital images. Aim: The aim of this research is to check the field of application of photomontage detection method based on analysis of singular values of matrix blocks of digital images, in the absence of restrictions on their compression ratio. Materials and Methods: The basis of this method is to identify the differences between the images when they have different compression ratios: the matrix of zero singular values of blocks corresponding to foreign 'part of images. We distinguish this area on the background of the main image that allows you to detect falsification. The above method was investigated under certain restrictions imposed on the used test photos. An advanced experiment with images was held, for which there are no restrictions on the compression ratio. Results: In experiment the falsification was detected in 44.4% of cases while maintaining the digital image after photomontage in lossless format, and 53.3% - in lossy. Most often the montage was detected when the difference between the quality factor Q of the main image and the replacing area was more than 2.

  • Keywords

    photomontage, checking the integrity of digital image, photomontage detection method, digital image matrix, singular number

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  • References

    1.    Кобозева, А.А. Основы общего подхода к решению проблемы обнаружения фальсификации цифрового сигнала / А.А. Кобозева // Електромашинобудування та електрообладнання. — 2009. — Вип. 72. — С. 35–41.
    2.    Зорило, В.В. Анализ особенностей сингулярных чисел матриц цифровых изображений при разных степенях сжатия для выявления фотомонтажа / В.В. Зорило, А.А. Кобозева // Захист інформації. — 2010. — Т. 12, № 3(48). — С. 34–40.
    3.    NRCS Photo Gallery [Електронний ресурс] / United States Department of Agriculture. Washington, USA. — Режим доступу: http://photogallery.nrcs.usda.gov (Дата звернення: 26.07.2012).


    1.    Kobozeva, A.А. (2009). Foundations of general approach to a problem of detection of digital signal forgery. Electrical Machine-Building and Electrical Equipment, 72, 35–41.
    2.    Zorilo, V.V., & Kobzeva, A.A. (2010). Analysis of features of singular values of the matrix of digital images at different compression ratios for the image forgery detection. Ukrainian Information Security Research Journal, 12(3), 34–40.
    3.    USDA: United States Department of Agriculture (n.d.). NRCS Photo Gallery. Retrieved from http://photogallery.nrcs.usda.gov/res/sites/photogallery/

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