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Comparing image compression methods in biomedical applications

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Author(s): Libor Hargas | Miroslav Hrianka

Journal: Advances in Electrical and Electronic Engineering
ISSN 1336-1376

Volume: 3;
Issue: 2;
Start page: 223;
Date: 2004;
Original page

Keywords: Compression | images | SNR | noise.

ABSTRACT
Compression methods suitable for image processing are described in this article in biomedical applications. The compression is often realized by reduction of irrelevance or redundancy. There are described lossless and lossy compression methods which can be use for compress of images in biomedical applications and comparison of these methods based on fidelity criteria.

Tango Jona
Tangokurs Rapperswil-Jona

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