Level embedded medical image compression based on value of interest

Author

Sun, Wen ; Lu, Yan ; Wu, Feng ; Li, Shipeng

Author_Institution

Univ. of Sci. & Technol. of China, Hefei, China

fYear

2009

fDate

7-10 Nov. 2009

Firstpage

1769

Lastpage

1772

Abstract

In this paper, we propose a novel compression scheme for medical images with extended bit depth. Our scheme efficiently utilizes the VOI (value of interest) settings of the medical images, so that only a small part of the coded bit-stream is needed at the decoder to lossless display the original image with recommended VOI parameters. Gray-Golomb coding is used to support VOI progressive transmission. In addition, the pixel domain bit-plane coding enables accurate distortion estimation at pixel level for any truncated bit-stream. Compared to JPEG2000, our scheme achieves much higher VOI performance with very slight overall bit-rate increase.

Keywords

data compression; embedded systems; estimation theory; image coding; medical image processing; Gray-Golomb coding; JPEG2000; VOI progressive transmission; coded bit-stream; distortion estimation; extended bit depth; level embedded medical image compression; lossless display; pixel domain bit-plane coding; truncated bit-stream; value of interest; Biomedical imaging; Displays; Image coding; Image reconstruction; Medical diagnostic imaging; Picture archiving and communication systems; Pixel; Propagation losses; Scalability; Transform coding; Medical image compression; bit-plane coding; progressive transmission; value of interest;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing (ICIP), 2009 16th IEEE International Conference on

Conference_Location

Cairo

ISSN

1522-4880

Print_ISBN

978-1-4244-5653-6

Electronic_ISBN

1522-4880

Type

conf

DOI

10.1109/ICIP.2009.5414553

Filename

5414553