Method of structural-block coding of tuple transformant video images

Abstract

In the modern world, the quality of video information services is important. The greatest difficulties arise in the case of providing remote services using wireless information and communication systems (ICS). This concerns the imbalance between the intensity of the video stream and the speed of data transmission in the ICS. Elimination of the imbalance is possible using compression methods. However, compression of the bit volume of video data is achieved with a loss of integrity. Hence, a relevant scientific and applied problem is the further improvement of coding methods based on the elimination of various types of redundancy. At the same time, most methods are characterized by achieving the desired level of compression by introducing distortions. This necessitates the development of a compression direction based on the controlled elimination of the number of different types of redundancy. Accordingly, to create conditions for increasing the possibilities for detecting characteristic dependencies, the technological apparatus of converting video segments to spectral space is used. Therefore, the research goal of the article is to develop compression methods based on a controlled reduction in the number of different types of redundancy in spectral space. The article outlines the main stages of developing a method for structural block coding of transform tuples. To increase the compression level without loss of integrity, it is proposed to identify characteristic structural dependencies for a set of transforms. Such sets are divided into tuples according to the parametric data of the structural and spectral features of the transforms. Further, such a space will be referred to as the spectral and parametric description of transforms (SPDT). Comparative evaluation of compression methods is carried out according to the system of indicators: compression level - integrity level. Under such conditions, the advantage of the created method over basic analogues in terms of compression level is from 12 to 19%.