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VIDEO COMPRESSION METHOD ON THE BASIS OF DISCRETE WAVELET TRANSFORM FOR APPLICATION IN VIDEO INFORMATION SYSTEMS WITH NON-STANDARD PARAMETERS
Natalya S. Valitskaya, Moscow Technical University of Communications and Informatics, Moscow, Russia, nvalitskaya@mail.ru
Igor V. Vlasyuk, Moscow Technical University of Communications and Informatics, Moscow, Russia, ru3dlp@yandex.ru
Aleksei M. Potashnikov, Moscow Technical University of Communications and Informatics, Moscow, Russia, nickmikh@gmail.com
Abstract
The features of image compression standards based on a discrete wavelet transform are considered. Particular attention is paid to the issues of data synchronization and fault tolerance of video information systems, in which, to obtain high spa-tial resolution, the image is divided into fragments with their subsequent separate decoding and playback. A modification of the codec for low-latency video data transmission systems based on a discrete wavelet transform is presented taking into account the option of changing the filtering direction of the samples from vertical and horizontal to diagonal developed at the TiZV department of MTUCI, allowing to slightly reduce computational complexity by reducing the number of processed extrapolated elements at the edges of the image (or tile), simplify parallel processing of data, and also introduce an addi-tional level of fault tolerance these transmission systems directly to the video codec by generating a pair of independent mutually complementary data streams. A variant of optimizing the parameters of the quantizer of the DVT subband signals is shown, taking into account the spatial spatial frequency response of the human visual system. The possibility and scenarios of using the presented video codec in video information systems with non-standard parameters (as a rule, with ultra-high resolution and often complex shape of the display area) are analyzed.
Keywords: video information systems, synchronization, parallelization, fault tolerance, video compression, discrete wavelet transform, filtering, additional calculations.
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