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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Acknowledgements
We would like to thank our students Leo and Lomasto for carrying on the preliminary tests on the AVQ compression of baropodometric images.
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Carpentieri, B. (2019). Security and Performance of a Textual Substitution Compression Method Applied to Images. In: Ntalianis, K., Croitoru, A. (eds) Applied Physics, System Science and Computers II. APSAC 2017. Lecture Notes in Electrical Engineering, vol 489. Springer, Cham. https://doi.org/10.1007/978-3-319-75605-9_13
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DOI: https://doi.org/10.1007/978-3-319-75605-9_13
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