Development of the external restructuring method to increase the efficiency of information resource data encoding

Author:

Хмелевський С.І.ORCID,Тупиця І.М.ORCID,Махдi Kaciм AббудORCID,Мусієнко О.П.ORCID,Пархоменко М.В.ORCID,Боровенський Я.О.ORCID

Abstract

The existing methods of data restructuring, implemented in modern algorithms for coding data of information resources, are investigated. The problematic aspects of using methods of external data restructuring are analyzed from the standpoint of ensuring the appropriate level of reliability. The main ones among them are the possibility of losing key information during the reconstruction of the original message, which can lead to the adoption of erroneous and untimely decisions by the relevant security sector authorities to overcome crisis situations. Requirements for information resources used in the interests of security sector bodies in the context of the need for a prompt response to overcoming crisis situations are being formed. In order to increase the efficiency of data coding of an information resource from the position of a compact representation in conditions of ensuring an appropriate level of quality, a method of external restructuring is being developed, which additionally allows to eliminate psycho-visual, statistical and structural redundancy of the message. External restructuring of data means the formation of a new message alphabet (color palette for an image). A new approach to restructuring these information resources is proposed, the essence of which is to determine the significance of individual elements in the initial message by a quantitative indicator, and then adjust the power of the original message, which allows creating more favorable conditions for further coding.

Publisher

Ivan Kozhedub Kharkiv National Air Force University KNAFU

Reference80 articles.

1. Miano, J. (1999), Compressed image file formats: JPEG, PNG, GIF, XBM, BMP, Journal of Electronic Imaging, 264 p. Available at: https://inlnk.ru/l0mlz (accessed 05 June 2021).

2. Pratt, W.K., Chen, W.H. and Welch, L.R. (1969), Slant transforms image coding, Proc. Computer Processing in communications, Polytechnic Press, New York, pp. 63-84.

3. Wallace, G.K. (1991), The JPEG Still Picture Compression Standard, Communication in ACM, Vol. 34, No. 4, pp. 31-34.

4. Wallace, G.K. (1991), Overview of the JPEG (ISO/CCITT) Still image compression: image processing algorithms and techniques, Proc. of SPIE-IS&T Electronic Imaging (SPIE), Vol. 1244, pp. 220-233.

5. Wang, S., Zhang, X., Liu, X., Zhang, J., Ma, S. and Gao, W. (2017), Utility Driven Adaptive Preprocessing for Screen Content Video Compression, IEEE Transactions on Multimedia, Vol. 19, No. 3, pp. 660-667.

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