CASPIAN JOURNAL

MANAGEMENT AND HIGH TECHNOLOGIES

ON THE ERROR OF HIDDEN SUBBAND DATA EMBEDDING INTO COLOR COMPONENTS OF IMAGES

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Chernomorets Daria A. ON THE ERROR OF HIDDEN SUBBAND DATA EMBEDDING INTO COLOR COMPONENTS OF IMAGES // Caspian journal : management and high technologies. — 2021. — №3. — pp. 15-25.

Chernomorets Daria A. - Belgorod National Research University, daria013ch@yandex.ru

The work is devoted to the study of the problem of hidden data embedding into color digital images, the relevance of which is due to the need to organize control over the distribution and use of, for example, author's copyright digital photos. The paper presents the main ideas of the method of hidden subband data embedding into images within the cosine transform, based on the relative change (taking into account the values of the embedded data) of the projections of the container-image, represented in grayscale, on the cosine transform subband matrices eigenvectors. This method is proposed to be used for data embedding in a color image based on data embedding in its separate color component of the RGB, HSV, and YCbCr color spaces widely used in image processing. In this paper, we propose relations for estimating the error of a color image containing embedded data. Computational experiments have been carried out to demonstrate that hidden subband embedding of data in different color components can cause significantly different values of errors in container-images, and that taking into account the frequency subband image properties during the hidden data embedding (based on the considered method) into the color components of images represented in the RGB, HSV, and YCbCr color spaces allows achieving insignificant distortions (errors) of the color container-images.

Key words: hidden embedding, color container-image, subband matrices, eigenvectors, image projection, error