Grayscale and Color Basis Images

Valery Gorbachev, Elena Kaynarova, Anton Makarov, Elena Yakovleva

Research outputpeer-review

Abstract

Orthogonal transformation of digital images can be represented as a decomposition over basis matrices or basis images. Grayscale and color basis images are introduced. For particular case of DWT (Discrete Wavelet Transform) obtained basis wavelet images have a block structure similar to frequency bands of the the DWT coefficients. A steganographic scheme for frequency domain watermarking based on this representation is considered. Presented example of detection algorithm illustrates how this representation can be used for frequency embedding techniques.

Original languageEnglish
Title of host publicationProceedings of the 25th Conference of Open Innovations Association FRUCT, FRUCT 2019
EditorsValtteri Niemi, Tatiana Tyutina
PublisherIEEE Computer Society
Pages109-115
Number of pages7
ISBN (Electronic)9789526924403
DOIs
Publication statusPublished - Nov 2019
Event25th Conference of Open Innovations Association FRUCT, FRUCT 2019 - Helsinki
Duration: 5 Nov 20198 Nov 2019

Publication series

NameConference of Open Innovation Association, FRUCT
ISSN (Print)2305-7254

Conference

Conference25th Conference of Open Innovations Association FRUCT, FRUCT 2019
CountryFinland
CityHelsinki
Period5/11/198/11/19

Scopus subject areas

  • Computer Science(all)
  • Electrical and Electronic Engineering

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    Gorbachev, V., Kaynarova, E., Makarov, A., & Yakovleva, E. (2019). Grayscale and Color Basis Images. In V. Niemi, & T. Tyutina (Eds.), Proceedings of the 25th Conference of Open Innovations Association FRUCT, FRUCT 2019 (pp. 109-115). [8981490] (Conference of Open Innovation Association, FRUCT). IEEE Computer Society. https://doi.org/10.23919/FRUCT48121.2019.8981490