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EURASIP Journal on Advances in Signal Processing
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A Comparison of Set Redundancy Compression Techniques

EURASIP Journal on Advances in Signal Processing volume 2006, Article number: 092734 (2006) Cite this article

Abstract

Medical imaging applications produce large sets of similar images. Thus a compression technique is necessary to reduce space storage. Lossless compression methods are necessary in such critical applications. Set redundancy compression (SRC) methods exploit the interimage redundancy and achieve better results than individual image compression techniques when applied to sets of similar images. In this paper, we make a comparative study of SRC methods on sample datasets using various archivers. We also propose a new SRC method and compare it to existing SRC techniques.

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Authors and Affiliations

  1. Institut National d'Informatique (INI), BP 68M, Oued Smar, Algiers, 16270, Algeria

    Samy Ait-Aoudia & Abdelhalim Gabis

Authors
  1. Samy Ait-Aoudia
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  2. Abdelhalim Gabis
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Correspondence to Samy Ait-Aoudia.

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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License ( https://creativecommons.org/licenses/by/2.0 ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Ait-Aoudia, S., Gabis, A. A Comparison of Set Redundancy Compression Techniques. EURASIP J. Adv. Signal Process. 2006, 092734 (2006). https://doi.org/10.1155/ASP/2006/92734

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  • DOI: https://doi.org/10.1155/ASP/2006/92734

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