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

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.

[1]  Bruno Carpentieri,et al.  Lossless, low-complexity, compression of three-dimensional volumetric medical images via linear prediction , 2013, 2013 18th International Conference on Digital Signal Processing (DSP).

[2]  Jacob Ziv,et al.  Compression of Two-Dimensional Images , 1985 .

[3]  Bruno Carpentieri,et al.  Text Compression and Encryption through Smart Devices for Mobile Communication , 2013, 2013 Seventh International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing.

[4]  Bruno Carpentieri.  Image compression via textual substitution , 2009 .

[5]  Bruno Carpentieri,et al.  Adaptive Vector Quantization for Lossy Compression of Image Sequences , 2017, Algorithms.

[6]  Bruno Carpentieri,et al.  The AVQ Algorithm: Watermarking and Compression Performances , 2011, 2011 Third International Conference on Intelligent Networking and Collaborative Systems.

[7]  Ilsun You,et al.  A Secure Distributed Video Surveillance System Based on Portable Devices , 2012, CD-ARES.

[8]  C. Constantinescu,et al.  Improved techniques for single-pass adaptive vector quantization , 1994, Proc. IEEE.

[9]  Ilsun You,et al.  Secure and distributed video surveillance via portable devices , 2014, J. Ambient Intell. Humaniz. Comput..