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Text information hiding and recovery via wavelet digital watermarking method

According to the wavelet digital watermarking method, wavelet text hiding algorithm is presented for hiding some text information in a signal with white noises and the corresponding recovery algorithm is also presented for obtaining text information from a synthesized signal. Firstly, wavelet text h...

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Autor principal: Xiaohui, Zhou
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10260994/
https://www.ncbi.nlm.nih.gov/pubmed/37308515
http://dx.doi.org/10.1038/s41598-023-36759-0
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author Xiaohui, Zhou
author_facet Xiaohui, Zhou
author_sort Xiaohui, Zhou
collection PubMed
description According to the wavelet digital watermarking method, wavelet text hiding algorithm is presented for hiding some text information in a signal with white noises and the corresponding recovery algorithm is also presented for obtaining text information from a synthesized signal. Firstly, wavelet text hiding algorithm is introduced and an example is given for demonstrating how to hide text information in a signal s with a white noise ε, where s = f(x) + ε and f(x) is a function such as sin x, cos x and so on. A synthesized signal [Formula: see text] can be obtained by wavelet text hiding algorithm. Then, the corresponding text recovery approach is also introduced and the text information is recovered from the synthesized signal [Formula: see text] by an example. Some figures of the example are shown that the wavelet text hiding algorithm and its recovery are feasible. Moreover, the roles of wavelet function, noise, embedding mode and embedding position are analyzed in the text information hiding and recovering, and it implicates its security. 1000 groups of English texts with different lengths are chosen for illustrating computational complexity and running time of the algorithms. The social application of this approach is explained by a system architecture figure. Finally, some future directions are discussed for our follow-up study.
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spelling pubmed-102609942023-06-15 Text information hiding and recovery via wavelet digital watermarking method Xiaohui, Zhou Sci Rep Article According to the wavelet digital watermarking method, wavelet text hiding algorithm is presented for hiding some text information in a signal with white noises and the corresponding recovery algorithm is also presented for obtaining text information from a synthesized signal. Firstly, wavelet text hiding algorithm is introduced and an example is given for demonstrating how to hide text information in a signal s with a white noise ε, where s = f(x) + ε and f(x) is a function such as sin x, cos x and so on. A synthesized signal [Formula: see text] can be obtained by wavelet text hiding algorithm. Then, the corresponding text recovery approach is also introduced and the text information is recovered from the synthesized signal [Formula: see text] by an example. Some figures of the example are shown that the wavelet text hiding algorithm and its recovery are feasible. Moreover, the roles of wavelet function, noise, embedding mode and embedding position are analyzed in the text information hiding and recovering, and it implicates its security. 1000 groups of English texts with different lengths are chosen for illustrating computational complexity and running time of the algorithms. The social application of this approach is explained by a system architecture figure. Finally, some future directions are discussed for our follow-up study. Nature Publishing Group UK 2023-06-12 /pmc/articles/PMC10260994/ /pubmed/37308515 http://dx.doi.org/10.1038/s41598-023-36759-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Xiaohui, Zhou
Text information hiding and recovery via wavelet digital watermarking method
title Text information hiding and recovery via wavelet digital watermarking method
title_full Text information hiding and recovery via wavelet digital watermarking method
title_fullStr Text information hiding and recovery via wavelet digital watermarking method
title_full_unstemmed Text information hiding and recovery via wavelet digital watermarking method
title_short Text information hiding and recovery via wavelet digital watermarking method
title_sort text information hiding and recovery via wavelet digital watermarking method
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10260994/
https://www.ncbi.nlm.nih.gov/pubmed/37308515
http://dx.doi.org/10.1038/s41598-023-36759-0
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