1. ВИЯВЛЕННЯ ПОРУШЕНЬ ЦІЛІСНОСТІ ЦИФРОВОГО ЗОБРАЖЕННЯ В КОНТЕКСТІ ЦИФРОВОЇ КРИМІНАЛІСТИКИ
- Author
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Берія, Д. Ю., Войтовецька, М. Є., Козаченко, Н. Г., Зоріло, В. В., and Лебедєва, О. Ю.
- Subjects
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DIGITAL image processing , *DIGITAL images , *DIGITAL image correlation , *DIGITAL forensics , *PIXELS , *TEST methods , *FALSIFICATION , *DIGITAL media - Abstract
Digital forensics is a field of knowledge that is currently actively developing. The challenges facing digital forensics often intersect with mathematical methods for finding traces of violations of the integrity of digital images. Photomontage, application of filters and other violations of the integrity of digital images are possible thanks to graphic editors with a large number of tools, in particular - filters for artificial sharpening. Graphic editors such as Gimp or Adobe Photohsop will allow users to perform various image manipulations and other digital media files, even without special training. Little attention has been paid in open printing to the problem of detecting violations of the integrity of digital images in the form of filter processing, in particular, sharpening filters. The aim of this work is to improve the detection efficiency of digital image processing by modifying the method of detecting sharpening. It has been observed that a large number of pixels with a value of 0 appear in the digital image matrices under the influence of the artificial sharpening filter. This effect is called the "black effect". The paper analyzes the parameters of the digital image and the black effect, which allowed to modify the method of detecting artificial sharpening of digital images. As a result of the work, the method of detecting artificial sharpening of digital images was modified. The original method was tested for digital images in a lossless format. The performed modification was checked both for the images saved after processing by the filter in a lossless format, and with losses. When testing the method, the number of errors of the first kind was 8%, the second kind - 10% for digital images saved after falsification with loss, and 4% and 7% respectively for digital images saved after falsification in lossless format. [ABSTRACT FROM AUTHOR]
- Published
- 2021
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