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.
CITATION STYLE
Carpentieri, B. (2019). Security and performance of a textual substitution compression method applied to images. In Lecture Notes in Electrical Engineering (Vol. 489, pp. 92–97). Springer Verlag. https://doi.org/10.1007/978-3-319-75605-9_13
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