Lossless medical image compression algorithm exploring three dimensional space

Author

Dajun, Wu ; Chong, Tan Eng

Author_Institution

Sch. of Appl. Sci., Comput. Eng., Nanyang Technol. Univ., Singapore

Volume

2

fYear

2000

fDate

2000

Firstpage

1062

Abstract

There has been a lot of research on lossless medical image compression in the 2D domain. As for volumetric data, a 3D image is firstly cut into slices and then compressed losslessly in 2D space. However, in this way, the information redundancy between neighboring slices is not exploited. This paper extends the segmentation-based lossless image coding (SLIC) algorithm to deal with image data from 2D to 3D. The results show that the new method not only encompasses all the SLIC functions, but also produces same results on 2D images and performs better on image volume data which has inherent 3D characteristics

Keywords

data compression; image coding; image segmentation; medical image processing; 3D image; SLIC algorithm; lossless image compression; medical image compression algorithm; segmentation-based lossless image coding; three dimensional space; volumetric data; Biomedical engineering; Biomedical imaging; Computed tomography; Image coding; Image segmentation; Magnetic resonance imaging; Pixel; Redundancy; Space exploration; Space technology;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing Proceedings, 2000. WCCC-ICSP 2000. 5th International Conference on

Conference_Location

Beijing

Print_ISBN

0-7803-5747-7

Type

conf

DOI

10.1109/ICOSP.2000.891716

Filename

891716