Запис Детальніше

The Positional Structural-Weight Coding of the Binary View of Transformants

Електронного архіву Харківського національного університету радіоелектроніки (Open Access Repository of KHNURE)

Переглянути архів Інформація
 
 
Поле Співвідношення
 
Title The Positional Structural-Weight Coding of the Binary View of Transformants
 
Creator Barannik, V. V.
Krasnoruckiy, A.
Hahanova, A. V.
 
Subject development
analysis
 
Description This paper investigates the peculiarities of the coding transformant bit view taking into account the observed regularities of binary structures based on the positional structural-weight (PSW) coding. It is proved that the technology of the PSW coding has two mechanisms for compensation of the influence of structural characteristics of a transformant binary format (the quantity of bits of compressed views per one element in average). The mechanisms of compensation are a formation of lengths for binary series and a building system of PSW number bases for each array of lengths of binary series. The development of InfoComm systems is realized in accordance with the conception of creating nextgeneration nets (NGN). The bulk of expansion of services is linked to providing of multimedia information [1; 2]. The conducted analysis of characteristics of video-information providing using InfoComm systems has shown that the given time of a transfer is provided only for images with the low spatial allowing. To overcome the current imbalance between the time of giving images and necessary time, the reduction of the rate allowing of video stream using compression systems should be provided. The analysis of approaches of building video compression systems in the infocommunications has revealed that they are based on using JPEG oriented technologies [3-4]. Owing to the fact that using compression systems for a transfer of images with normal SD quality for high-rate communication channels, if there is a loss of quality of the reconstructed images at the level of the peak signal-tonoise ratio equal to 30 DB. The existing image compression technologies using the JPEG-oriented technologies do not provide the required level of bit rate of compressed video stream. Therefore, lowering of the bit rate of the compressed video data to improve the quality of telecommunication services is the relevant scientific-applied task. Lowering of the bit rate of transformed images is requested to provide improving technology of the coding of a binary view. This technology has the potential to reduce bit stream and time of processing transformants in condition of the given quality of image reconstruction for various degrees of a saturation of small objects. The process of compressing of the transformant n ,mY (transformant is examined at the bit level of descriptions) is contained in identification of regularities of binary structures. Therefore, it is necessary to justify the conceptual approach to a system of changes consisting of the following components [5]: 1) making components χ ξ,y of a transformant by binarization; 2) identification of structural regularities for the binary view of a transformant 2 n,m ]Y[ ; 3) coding of a bit view of a transformant taking into account the observed regularities of binary structures. It is also required to provide: - lowering of the bit rate ( c v ) of compact transformant view without making additional distortions; - decreasing the quantity of transactions to process of a transformant. The aim of this research is to develop the coding of a bit view of a transformant to increase the compression degrees of images (in consider of conservation of the specified image quality) intended for a transfer in InfoComm systems in real-time.
 
Date 2016-09-06T07:37:12Z
2016-09-06T07:37:12Z
2012
 
Type Article
 
Identifier Barannik V. The Positional Structural-Weight Coding of the Binary View of Transformants/Barannik V., Krasnoruckiy A., Hahanova A. //Proceedings of IEEE East-West Design & Test Symposium (EWDTS’2012)
http://openarchive.nure.ua/handle/document/2126
 
Language en
 
Publisher EWDTS