Artificial intelligence in image resizing - Begmatov, Shohruh;Arabboev, Mukhriddin;Nosirov, Khabibullo
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The monograph outlines a method of distinguishing people in low-resolution television images using a histogram oriented gradients, a nonlinear processing model consisting of an adaptive interpolating and retrainable twelve- to twenty-seven dimensional artificial neural network to help reduce losses in television images, a mobile device that narrows the transmission band by compacting real-time television images by size and a hardware-software complex has been developed based on an improved method of identifying people in television images used for search purposes in emergencies.

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Produktbeschreibung
The monograph outlines a method of distinguishing people in low-resolution television images using a histogram oriented gradients, a nonlinear processing model consisting of an adaptive interpolating and retrainable twelve- to twenty-seven dimensional artificial neural network to help reduce losses in television images, a mobile device that narrows the transmission band by compacting real-time television images by size and a hardware-software complex has been developed based on an improved method of identifying people in television images used for search purposes in emergencies.
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Autorenporträt
Shohruh Begmatov received his PhD from Tashkent University of Information Technologies in 2022. Mukhriddin Arabboev received his PhD from Tashkent University of Information Technologies in 2022. Khabibullo Nosirov received his DSc from Tashkent University of Information Technologies in 2024.