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2019 | OriginalPaper | Buchkapitel

Security and Performance of a Textual Substitution Compression Method Applied to Images

verfasst von : Bruno Carpentieri

Erschienen in: Applied Physics, System Science and Computers II

Verlag: Springer International Publishing

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Abstract

This paper discusses the performances and security of a textual substitution compression algorithm applied to images. This algorithm derives from the blending of the Lempel-Ziv compression methods and the Vector Quantization compression approach: it is called Adaptive Vector Quantization (AVQ). We review the performance and the security of AVQ and present new testing results on a specific set of medical images: the baropodometric images.

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Literatur
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Zurück zum Zitat Carpentieri, B.: Image compression via textual substitution. WSEAS Trans. Inf. Sci. Appl. 6(5), 768–777 (2009) Carpentieri, B.: Image compression via textual substitution. WSEAS Trans. Inf. Sci. Appl. 6(5), 768–777 (2009)
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Zurück zum Zitat Pizzolante, R., Carpentieri, B., Castiglione, A., De Maio, G.: The AVQ algorithm: watermarking and compression performances. In: Proceedings of the 3rd IEEE International Conference on Intelligent Networking and Collaborative Systems (INCoS). IEEE Press (2011) Pizzolante, R., Carpentieri, B., Castiglione, A., De Maio, G.: The AVQ algorithm: watermarking and compression performances. In: Proceedings of the 3rd IEEE International Conference on Intelligent Networking and Collaborative Systems (INCoS). IEEE Press (2011)
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Zurück zum Zitat Pizzolante, R., Carpentieri, B.: Lossless, low-complexity, compression of three-dimensional volumetric medical images via linear prediction. In: 18th International Conference on Digital Signal Processing (DSP) (2013) Pizzolante, R., Carpentieri, B.: Lossless, low-complexity, compression of three-dimensional volumetric medical images via linear prediction. In: 18th International Conference on Digital Signal Processing (DSP) (2013)
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Zurück zum Zitat Pizzolante, R., Carpentieri, B., De Agostino, S.: Adaptive vector quantization for lossy compression of image sequences. Algorithms 10(2), 51 (2017)MathSciNetCrossRef Pizzolante, R., Carpentieri, B., De Agostino, S.: Adaptive vector quantization for lossy compression of image sequences. Algorithms 10(2), 51 (2017)MathSciNetCrossRef
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Zurück zum Zitat Albano, P., Bruno, A., Carpentieri, B., Castiglione, A., Castiglione, A., Palmieri, F., Pizzolante, R., Yim, K., You, I.: Secure and distributed video surveillance via portable devices. J. Ambient Intell. Humaniz. Comput. 5(2), 205–213 (2014)CrossRef Albano, P., Bruno, A., Carpentieri, B., Castiglione, A., Castiglione, A., Palmieri, F., Pizzolante, R., Yim, K., You, I.: Secure and distributed video surveillance via portable devices. J. Ambient Intell. Humaniz. Comput. 5(2), 205–213 (2014)CrossRef
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Zurück zum Zitat Pizzolante, R., Carpentieri, B., Castiglione, A., Castiglione, A., Palmieri, F.: Text compression and encryption through smart devices for mobile communication. In: 7th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, IMIS 2013 (2013) Pizzolante, R., Carpentieri, B., Castiglione, A., Castiglione, A., Palmieri, F.: Text compression and encryption through smart devices for mobile communication. In: 7th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, IMIS 2013 (2013)
Metadaten
Titel
Security and Performance of a Textual Substitution Compression Method Applied to Images
verfasst von
Bruno Carpentieri
Copyright-Jahr
2019
DOI
https://doi.org/10.1007/978-3-319-75605-9_13

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