A New Approach to Reducing the Distortion of the Digital Image Natural Model in the DCT Domain When Embedding Information According to the QIM Method-Reference-Cited by-同舟云学术

A New Approach to Reducing the Distortion of the Digital Image Natural Model in the DCT Domain When Embedding Information According to the QIM Method

Published:2019-11-11 Issue: Volume: Page:
ISSN:
Container-title:GraphiCon'2019 Proceedings. Volume 2
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Author:

Евсютин Олег¹²³,Evsutin Oleg⁴⁵⁶,Мельман Анна³,Melman Anna⁶,Мещеряков Роман²,Meshcheryakov Roman⁵,Исхакова Анастасия²³,Ishakova Anastasia⁵⁶

Affiliation:

1. Национальный исследовательский университет "Высшая школа экономики"

2. Институт проблем управления имени В. А. Трапезникова РАН

3. Томский государственный университет систем управления и радиоэлектроники

4. Nacional'nyy issledovatel'skiy universitet "Vysshaya shkola ekonomiki"

5. Institut problem upravleniya imeni V. A. Trapeznikova RAN

6. Tomskiy gosudarstvennyy universitet sistem upravleniya i radioelektroniki

Abstract

One of the areas of digital image processing is the steganographic embedding of additional information into them. Digital steganography methods are used to ensure the information confidentiality, as well as to track the distribution of digital content on the Internet. Main indicators of the steganographic embedding effectiveness are invisibility to the human eye, characterized by the PSNR metric, and embedding capacity. However, even with full visual stealth of embedding, its presence may produce a distortion of the digital image natural model in the frequency domain. The article presents a new approach to reducing the distortion of the digital image natural model in the field of discrete cosine transform (DCT) when embedding information using the classical QIM method. The results of the experiments show that the proposed approach allows reducing the distortion of the histograms of the distribution of DCT coefficients, and thereby eliminating the unmasking signs of embedding.

Publisher

Bryansk State Technical University

Reference8 articles.

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