Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Ruslan Yuzkiv"'
Publikováno v:
Компьютерная оптика, Vol 44, Iss 1, Pp 60-66 (2020)
A technique of early recognition (recovery) of data transmitted using OFDM technology by an incompletely received signal is considered. Theoretically, this approach is able to increase the speed of information transfer, as well as the resistance of t
Externí odkaz:
https://doaj.org/article/b48afa3c1d00425cbd6e1b6059940708
Autor:
Ruslan Yuzkiv, Mikhail Gashnikov
Publikováno v:
2022 VIII International Conference on Information Technology and Nanotechnology (ITNT).
Publikováno v:
2020 International Conference on Information Technology and Nanotechnology (ITNT).
The method of parameterizable digital watermarks LSB-embedding with adaptive key generation is proposed. It uses the predefined number of least significant bits for secure hiding of digital watermarks of a special class. Several functional parameters
Autor:
Ruslan Yuzkiv, Vladislav Sergeev
Publikováno v:
Procedia Engineering. 201:249-257
A version of the transform-based coding compression method for remote sensing hyperspectral data is proposed. New version is based on the calculation of a separate quantization matrix for each image and the preliminary removal of low-frequency compon
Autor:
M. A. Chicheva, Ruslan Yuzkiv
Publikováno v:
Computer Optics. 38:794-803
A new compression method and an algorithm on its base are proposed in this paper. The approach generalizes the familiar transform coding method to the case of three-dimensional hyperspectral data. The task of selecting the algorithm parameters is sol
Autor:
Ruslan Yuzkiv, M. A. Chicheva
Publikováno v:
Communications in Computer and Information Science ISBN: 9783319261225
AIST
AIST
The aim of this paper is to study how block characteristics influence on the compression quality fo hyperspectral data using block transform method. Coordinates in hyperspectral image are not equivalent – two of them are space-based ones and the th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::44319eeb4c812c646fad39943573fec3
https://doi.org/10.1007/978-3-319-26123-2_5
https://doi.org/10.1007/978-3-319-26123-2_5
Publikováno v:
Scopus-Elsevier
In this paper, we propose methods designed to automate vectorization of point objects at cartographic image digitizing. These methods are based on the analysis of the skeleton-contour image representation and allow to detect point objects, estimate t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f4b12b37c5712d61510d746b7a9740d
http://www.scopus.com/inward/record.url?eid=2-s2.0-85029298883&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-85029298883&partnerID=MN8TOARS