Search

Show simple item record

dc.contributor.authorGorbashkо, Larisa
dc.contributor.authorGolovko, Vladimir
dc.coverage.spatialBrestru_RU
dc.date.accessioned2023-11-29T07:57:48Z
dc.date.available2023-11-29T07:57:48Z
dc.date.issued2006
dc.identifier.citationGorbashko, L. A Steganographic Method Using Learning Vector Quantization / Larisa Gorbashkо, Vladimir Golovko // International Conference on Neural Networks and Artificial Intelligence : proceedings, Brest, 31 May – 2 June, 2006 / Edited: V. Golovko [et al.]. – Brest : BSTU, 2006. – P. 61–64 : il. – Bibliogr.: p. 63–64 (7 titles).ru_RU
dc.identifier.urihttps://rep.bstu.by/handle/data/37361
dc.descriptionГорбашко Лариса, Головко Владимир. Стеганографический метод, использующий обучающее векторное квантованиеru_RU
dc.description.abstractThe new technique for embedding image data is presented. The message is subjects to vector quantizer by neural network. The modified data is inserted into the coiner in the wavelet transform domain. The vector quantization enables to increase the capacity of embedded data. The experimental results indicate that performance of vector quantizer by neural network is higher then quantizer by standard algorithm.ru_RU
dc.language.isoenru_RU
dc.publisherBrSTUru_RU
dc.subjectsteganographyru_RU
dc.subjectстеганографияru_RU
dc.subjectneural networkru_RU
dc.subjectнейронная сетьru_RU
dc.subjectvector quantizerru_RU
dc.subjectвекторный квантовательru_RU
dc.subjectwavelet transformru_RU
dc.subjectвейвлет-преобразованиеru_RU
dc.titleA Steganographic Method Using Learning Vector Quantizationru_RU
dc.title.alternativeСтеганографический метод, использующий обучающее векторное квантованиеru_RU
dc.typeНаучный доклад (Working Paper)ru_RU


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record