MULTIDIMENSIONAL SIGNALS COMPRESSION ALGORITHM DEVELOPMENT USING WAVELET TRANSFORMS
Halyna Sokol, Artem KULHAVIJ, Serhii Tur, Dmytro TELESHUN · ITSynergy · 2021
The paper considers algorithms for compressing multidimensional signals using wavelet transforms, aimed at increasing the degree of information compression, compared with existing compression methods. Software for compressing multidimensional signals has been developed and the general capabilities of a software product that allows image compression using wavelet transforms are presented.