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2019 | OriginalPaper | Chapter

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

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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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Literature
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Metadata
Title
Security and Performance of a Textual Substitution Compression Method Applied to Images
Author
Bruno Carpentieri
Copyright Year
2019
DOI
https://doi.org/10.1007/978-3-319-75605-9_13