Home

About

Advanced Search

Browse by Discipline

Scientific Societies

E-print Alerts

Add E-prints

E-print Network
FAQHELPSITE MAPCONTACT US


  Advanced Search  

 
3D SCALABLE LOSSLESS COMPRESSION OF MEDICAL IMAGES BASED ON GLOBAL AND LOCAL SYMMETRIES
 

Summary: 3D SCALABLE LOSSLESS COMPRESSION OF MEDICAL IMAGES BASED ON GLOBAL
AND LOCAL SYMMETRIES
Victor Sanchez, Rafeef Abugharbieh, and Panos Nasiopoulos
Electrical and Computer Engineering, The University of British Columbia, Canada
ABSTRACT
We recently proposed a symmetry-based scalable lossless
compression method for 3D medical images using the 2D integer
wavelet transform and the embedded block coder with optimized
truncation (EBCOT). In this paper, we present two major
contributions that enhance our early work: 1) a new block-based
intra-band prediction method that exploits the global and local
symmetries of the wavelet-transform sub-bands based on the main
axis of symmetry as detected using the analytical Fourier-Mellin
transform; and 2) a new inter-slice DPCM prediction method that
exploits the correlation between slices. Performance evaluations on
real 3D medical images show an average improvement of up to
17% in lossless compression ratios when compared to the state-of-
the-art compression methods including 3D-JPEG2000, JPEG2000
and H.264 intra-coding.
Index Terms-- scalable lossless compression, 3D medical

  

Source: Abugharbieh, Rafeef - Department of Electrical and Computer Engineering, University of British Columbia

 

Collections: Biology and Medicine; Computer Technologies and Information Sciences