Improvement of the method of hierarchical interpolation based on the use of neural networks
Journal Title: Інформаційно-керуючі системи на залізничному транспорті - Year 2017, Vol 22, Issue 6
Abstract
Given the convergence of networks, the amount of transmitting information increases in geometric progression, in turn, technical implementation does not allow the use of a wide range of compression methods, as well as the development of new technical units, that is, the system, it is standardized and certified, therefore, each new block will change the entire structure of the system itself. Therefore, in order for the system to be able to use additional features, it is possible, on the basis of technical implementation already, to use a software product that is already embedded in technical units. Based on this, it was decided to stay on the methodology, using additional software or software and hardware. In the framework of this article, an interpolation image compression method is considered, designed to solve a given problem. The method of hierarchical interpolation in combination with the modifiers of the algorithms of statistical coding and algorithms, based on neural measurements (ANN), constitute the proposed information technology for video information compression, which meets all the above requirements.
Authors and Affiliations
A. Maziashvili, N. Korolyova
Keywords
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- EP ID EP497884
- DOI 10.18664/ikszt.v0i6.119924
- Views 151
- Downloads 0
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