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  3. Volume 5, Number 1, 2023
  4. Methods and algorithms of complexing images and thermal signals

Methods and algorithms of complexing images and thermal signals

CSN.
2023;
Volume 5, Number 1
: pp. 60 - 71
https://doi.org/10.23939/csn2023.01.060
Authors:
  1. Maksym O. Lynnyk
  2. Adrian Nakonechnyi
1
Lviv Polytechnic National University, Department of Computerized Automation Systems
2
Lviv Polytechnic National University

This paper considers possible approaches to improving the quality of image signal formation both in the light and in the dark period of the day, as well as reducing the influence of noise, interference and artifacts on the characteristics of image signals. It is proposed to use the wavelet domain for the analysis of thermal and image signals with their subsequent possible complexation. The main features of the formation of such signals are indicated. It is shown that the proposed approach allows to improve the quality characteristics of image signals, especially in the dark period of time, as well as to ensure their effective processing related to filtering, compression, scaling and contrast change. A comparison of the obtained results of the proposed method with other existing similar signal processing approaches is given.

Thermal signals
video signals
complexation of signals
Wavelet transformation
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