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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...

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Autores principales: Yeh, Jung-Yao, Chen, Chih-Cheng, Liu, Po-Liang, Huang, Ying-Hsuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
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.
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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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