Medical Image Compression: Study of the Influence of Noise on the JPEG 2000 Compression Performance

Author

Belbachir, Ahmed Nabil ; Goebel, Peter Michael

Author_Institution

ARC, Seibersdorf Res., Vienna

Volume

3

fYear

0

fDate

0-0 0

Firstpage

893

Lastpage

896

Abstract

In this paper, the efficiency of the JPEG2000 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 combination 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 performance. The denoising process is supported by Monte Carlo noise modeling, which is introduced in the JPEG 2000 compression scheme to improve the compression efficiency of the medical images in terms of compression ratio and image quality. Fifty selected images are denoised and the compression ratio, using lossless and lossy JPEG 2000, is reported and evaluated

Keywords

Monte Carlo methods; Poisson distribution; data compression; dentistry; diagnostic radiography; image coding; image denoising; medical image processing; JPEG 2000 compression performance; Monte Carlo noise modeling; Poisson noise; Poisson statistics; acquisition noise; denoising process; dental radiography; medical image compression; orthopantomographic images; radiographic images; simulation images; Analytical models; Biomedical imaging; Dentistry; Image analysis; Image coding; Medical simulation; Noise reduction; Radiography; Statistics; Transform coding;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 2006. ICPR 2006. 18th International Conference on

Conference_Location

Hong Kong

ISSN

1051-4651

Print_ISBN

0-7695-2521-0

Type

conf

DOI

10.1109/ICPR.2006.786

Filename

1699669