The Issues of Orthogonal Basis Dimension Selection in Embedded Image Processing Systems

Autor:	Nikolay. A. Sumenkov, Aleksandr S. Bastrychkin, Aleksandr E. Zverev, Alexey I. Baranchikov, Serzey I. Babaev
Rok vydání:	2021
Předmět:	Transformation (function) Dimension (vector space) Basis (linear algebra) Computer science Discrete cosine transform Image processing Basis function Algorithm Orthogonal basis Image (mathematics)
Zdroj:	MECO
DOI:	10.1109/meco52532.2021.9460233
Popis:	The paper considers different orthogonal transformations in order to select the optimal basis functions dimensions for image transmission. There are given the main transformations features, as well as their advantages and disadvantages, moreover, there is given the results of transformation time and memory measurement depending on basis dimensions.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::6bbc8d0e27635eb6c56dfd27554423b5 https://doi.org/10.1109/meco52532.2021.9460233 Zobrazit plný text záznamu