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High-Payload Data-Hiding Method for AMBTC Decompressed Images
Data hiding is the art of embedding data into a cover image without any perceptual distortion of the cover image. Moreover, data hiding is a very crucial research topic in information security because it can be used for various applications. In this study, we proposed a high-capacity data-hiding sch...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516557/ https://www.ncbi.nlm.nih.gov/pubmed/33285920 http://dx.doi.org/10.3390/e22020145 |
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author | Yeh, Jung-Yao Chen, Chih-Cheng Liu, Po-Liang Huang, Ying-Hsuan |
author_facet | Yeh, Jung-Yao Chen, Chih-Cheng Liu, Po-Liang Huang, Ying-Hsuan |
author_sort | Yeh, Jung-Yao |
collection | PubMed |
description | Data hiding is the art of embedding data into a cover image without any perceptual distortion of the cover image. Moreover, data hiding is a very crucial research topic in information security because it can be used for various applications. In this study, we proposed a high-capacity data-hiding scheme for absolute moment block truncation coding (AMBTC) decompressed images. We statistically analyzed the composition of the secret data string and developed a unique encoding and decoding dictionary search for adjusting pixel values. The dictionary was used in the embedding and extraction stages. The dictionary provides high data-hiding capacity because the secret data was compressed using dictionary-based coding. The experimental results of this study reveal that the proposed scheme is better than the existing schemes, with respect to the data-hiding capacity and visual quality. |
format | Online Article Text |
id | pubmed-7516557 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-75165572020-11-09 High-Payload Data-Hiding Method for AMBTC Decompressed Images Yeh, Jung-Yao Chen, Chih-Cheng Liu, Po-Liang Huang, Ying-Hsuan Entropy (Basel) Article Data hiding is the art of embedding data into a cover image without any perceptual distortion of the cover image. Moreover, data hiding is a very crucial research topic in information security because it can be used for various applications. In this study, we proposed a high-capacity data-hiding scheme for absolute moment block truncation coding (AMBTC) decompressed images. We statistically analyzed the composition of the secret data string and developed a unique encoding and decoding dictionary search for adjusting pixel values. The dictionary was used in the embedding and extraction stages. The dictionary provides high data-hiding capacity because the secret data was compressed using dictionary-based coding. The experimental results of this study reveal that the proposed scheme is better than the existing schemes, with respect to the data-hiding capacity and visual quality. MDPI 2020-01-25 /pmc/articles/PMC7516557/ /pubmed/33285920 http://dx.doi.org/10.3390/e22020145 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Yeh, Jung-Yao Chen, Chih-Cheng Liu, Po-Liang Huang, Ying-Hsuan High-Payload Data-Hiding Method for AMBTC Decompressed Images |
title | High-Payload Data-Hiding Method for AMBTC Decompressed Images |
title_full | High-Payload Data-Hiding Method for AMBTC Decompressed Images |
title_fullStr | High-Payload Data-Hiding Method for AMBTC Decompressed Images |
title_full_unstemmed | High-Payload Data-Hiding Method for AMBTC Decompressed Images |
title_short | High-Payload Data-Hiding Method for AMBTC Decompressed Images |
title_sort | high-payload data-hiding method for ambtc decompressed images |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516557/ https://www.ncbi.nlm.nih.gov/pubmed/33285920 http://dx.doi.org/10.3390/e22020145 |
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