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18th International Conference on Pattern Recognition (ICPR'06) Volume 3
Medical Image Compression: Study of the Influence of Noise on the JPEG 2000 Compression Performance
Hong Kong
August 20-August 24
ISBN: 0-7695-2521-0
Ahmed Nabil Belbachir, ARC, Seibersdorf Research GmbH, Vienna, Austria
Peter Michael Goebel, Karl-Landsteiner Institute for Biotelematics, Vienna, Austria
In this paper the eficiency of the JPEG 2OOO scheme combined with a complementary denoising process is analyzed on simulated and real denial ortho-pantomographic images, where the simulation images are perturbed by Poisson noise. The case of dental radiography is investigated, because radiographic images are a combinatron between the relevant signal and a significant amount of acquisition noise, which is per definition not compressible. The noise behaves generally close to Poisson statistics, which generally affects the compression rformance. The denoising process is supported by Monte Carlo noise modeling, which is introduced in the JPEG 2000 compression scheme to improve the compression eBciency of the medicul images in terms of compression ratio and image qualip F t f i selected images are denoised and the compression ratio, using lossless and lossy JPEG 2000, is reported and evaluated.
Citation:
Ahmed Nabil Belbachir, Peter Michael Goebel, "Medical Image Compression: Study of the Influence of Noise on the JPEG 2000 Compression Performance," icpr, vol. 3, pp.893-896, 18th International Conference on Pattern Recognition (ICPR'06) Volume 3, 2006
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