МЕTHODS FOR ASSESSING SIGNAL QUALITY IN DIGITAL VIDEO SURVEILLANCE SYSTEMS

Rafail Safin, Mher Markosyan, Yelena Satimova, T. Pavlova, Y. Garmashova

2022

Closed access Metadata (CSL-JSON)
DOI 10.56243/10.56243/18294898-2022.3-70
Data confidence 70 medium
How this score is calculated

It is built from checkable properties of the record itself: whether the article has a DOI, how many independent sources confirmed its data, whether the required fields are filled in, and how recent the latest confirmation is. Disagreement between sources and a missing identifier lower it. A value of 80 or above means the record was published without further checking; 60 to 79 means it is published at reduced confidence, with a manual check advisable. A record verified by an editor by hand is never pushed below 90 by a recalculation. This scores our data about the article, not the article itself.

Abstract

The article presents the results of a comparative analysis of methods for assessing the quality of a video signal, which allow studying and investigating video surveillance systems. The mechanisms for improving the quality of a video image are given, in particular, the effect of stabilization mechanisms on image quality. Graphs of the influence of stabilization mechanisms on image quality are presented. The substantiation of the expediency of using the software method of stabilization, which makes it possible to remove unevenness during jitter, is given.