M.N. Isaeva1, A.V.Afanasyeva2, A.A. Ovchinnikov3

1–3 Saint-Petersburg State University of Aerospace Instrumentation (St. Petersburg, Russia)

The problem of copyright protection is very relevant in modern society, especially for digital images. There are can use digital watermarks to identify authorship or track unauthorized copies of multimedia files. Recently, the use of filters on images that lead to distortion and can destroy the built-in DW has become popular. There are many approaches to detecting these distortions, but no one has tried to distinguish between the detected types of distortions and classify them.

Purpose – there are explore the possibility of classifying attack types in different ways and suggest an approach to determining distortion types on images using semi-fragile marks (DW).

Two approaches have been investigated and proposed to detect distortions in digital images using semi-fragile marks using as a parameter an error vector between the original and the distorted DWs. Both approaches showed the possibility of detecting certain types of distortion with a sufficiently high probability. Experiments have been conducted showing the possibility of determining the type of transformation on the image.

A feature of this approach is the fact that the original image is not used to determine the type of attack, conclusions are made only on the basis of the embedded DW.

Isaeva M.N., Afanasyeva A.V., Ovchinnikov A.A. Detection of distortions in digital images by means of semi-fragile watermarks. Science Intensive Technologies. 2021. V. 22. № 8. P. 50−60. DOI: https://doi.org/10.18127/j19998465-202108-08 (in Russian)

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