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A Comparison of Set Redundancy Compression Techniques

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Author(s): Ait-Aoudia Samy | Gabis Abdelhalim

Journal: EURASIP Journal on Advances in Signal Processing
ISSN 1687-6172

Volume: 2006;
Issue: 1;
Start page: 092734;
Date: 2006;
Original page

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.

Tango Jona
Tangokurs Rapperswil-Jona

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