Development of the method for encoding service data in cryptocompression image representation systems

Abstract

The demand for image confidentiality is constantly growing. At the same time, ensuring the confidentiality of video information must be organized subject to ensuring its reliability with a given time delay in processing and transmission. Methods of cryptocompression representation of images can be used to solve this problem. They are designed to simultaneously provide compression and protection of video information. The service component is used as the key of the cryptocompression transformation. However, it has a significant volume. It is 25 % of the original video data volume. A method for coding systems of service components in a differentiated basis on the second cascade of cryptocompression representation of images has been developed. The method is based on the developed scheme of data linearization from three-dimensional coordinates of representation in a two-dimensional matrix into a one-dimensional coordinate for one-to-one representation of this element in a vector. Linearization is organized horizontally line by line. On the basis of the developed method, a non-deterministic number of code values of information components is formed. They have non-deterministic lengths and are formed on a non-deterministic number of elements. The uncertainty of positioning of cryptocompression codograms in the general code stream is provided, which virtually eliminates the possibility of their unauthorized decryption. The method provides a reduction in the volume of the service component of the cryptocompression codogram. The service data volume is 6.25 % of the original video data volume. The method provides an additional reduction in the volume of cryptocompression representation of images without loss of information quality relative to the original video data on average from 1.08 to 1.54 times, depending on the degree of their saturation

On the Use of Variability Measures to Analyze Source Coding Data Based on the Shannon Entropy

“…Our work may be of particular interest to specialists in the field of cryptography in solving digital security problems [40]. Coding methods and their application in information security systems, cryptocompression systems, and data compression are relevant topics to be considered [10,41]. For example, the application of arithmetic coding methods in cryptographic information protection systems is considered in [42].…”

Метод Кодування Значимих За Впливом На Семантичну Цілісність Відеосегментів Для Забезпечення Доступності

“…Наявний діапазон розмірів відеокадрів обумовлено необхідністю забезпечити інформацією з потрібним рівнем повноти (деталізації) для вирішення різних класів завдань в процесі функціонування та управління СКІ, в тому числі в умовах запровадження воєнного стану. Тому відеоресурс для існуючих умов життя-діяльності держави набирає чинності державного ВІР [7][8][9][10].…”

Devising a conceptual method for generating cryptocompression codograms of images without loss of information quality

“…Quantitative assessment of the quality of video data processing is carried out using the quality indicators RSME, PSNR, and a correlation coefficient. Our analysis of the scheme to manage the first cascade of encoding [1,16,17] reveals that the code values E α are formed not for the values of the original elements ( , ) , , i j a γ χ but taking into consideration the decrease in their dynamic range ( )…”

“…At the fourth stage, the second cascade of cryptocompression coding is performed. The procedure for performing this step is described in work [1]. Here, an essential controlled parameter that is responsible for the number of elements of the generated matrices of service components and establishes the order of encoding elements is the value of m. It simultaneously determines the number of lines in the block A (γ, χ) of the source data and the number of elements in the column vectors A value of the parameter m reduces the number of elements in the formed matrices Λ(max), Λ(min), Θ(max), and Θ(min) of the service components of cryptocompression codograms.…”

“…Therefore, an important scientific and applied task is to reduce the volume of video information provided it is confidential and reliable [1].…”