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УДОСКОНАЛЕННЯ МЕТОДУ ВИЯВЛЕННЯ ТА ЛОКАЛІЗАЦІЇ ОБЛАСТЕЙ КЛОНУВАННЯ В ЦИФРОВИХ ЗОБРАЖЕННЯХ.

Authors :
Васалатій, Р. І.
Матрос, В. І.
Лебедєва, О. Ю.
Маєвський, Д. А.
Source :
Informatics & Mathematical Methods in Simulation / Informatika ta Matematičnì Metodi v Modelûvannì. 2022, Vol. 12 Issue 3, p173-181. 9p.
Publication Year :
2022

Abstract

The paper considers the improvement of the method of detection and localization of cloning areas in digital images. A significant role in the modern world is played by digital signals, in particular, digital images used in science, medicine, court proceedings, the press, etc. Today, everyone has a camera, if the event is significant, you will have thousands of photos at your disposal. However, changing the photo is very easy. Even amateurs can do it. Often, such falsifications are almost impossible to detect with the naked eye. One of the most commonly used operations in the forgery of digital images is the cloning operation, in which a part of a digital image is replaced by a part of the same digital image. The paper considers the method of detection and localization of cloning regions based on the Pearson correlation coefficient. The basic method uses 8x8 blocks as a compromise between image processing time and the accuracy of cloning region detection. Increasing the block size will speed up the base method. Another way to improve the method of detecting and locating cloned blocks is to use markers. Markers are predefined pixels in a block that are used to define the perspective of the block to identify the cloning area. Markers for square blocks and blocks of complex shape are proposed in the work. Blocks of a complex shape in the work are considered to be blocks consisting of a suitable set of pixels, which are used to detect and localize areas of cloning. The main steps of the improved method of detection and localization of cloning regions in digital images are presented. Evaluation of the effectiveness of the improved method of detection and localization of cloning areas was performed by measuring the time of detection and localization of cloning areas before and after improvement. [ABSTRACT FROM AUTHOR]

Details

Language :
Ukrainian
ISSN :
22235744
Volume :
12
Issue :
3
Database :
Academic Search Index
Journal :
Informatics & Mathematical Methods in Simulation / Informatika ta Matematičnì Metodi v Modelûvannì
Publication Type :
Academic Journal
Accession number :
163008301
Full Text :
https://doi.org/10.15276/imms.v12.no3.173