This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
12th IEEE Symposium on Computer-Based Medical Systems (CBMS'99)
Lossless Compression of Segmented Biomedical Images with an Adaptive Arithmetic Coding Model
Stamford, Connecticut
June 18-June 20
ISBN: 0-7695-0234-2
Gilberto Zamora, Texas Tech University
Sunanda Mitra, Texas Tech University
Any image can be segmented into regions containing information without the background that can be added at the reconstruction stage thus providing a lossless compression of approximately 3:1 in most cases. When this segmentation process is combined with an adaptive arithmetic coding model, an extremely efficient and powerful lossless coding model yielding compression ratios up to 9:1 can be developed. Such models will be quite useful for archiving wide varieties of biomedical images losslessly.
Citation:
Gilberto Zamora, Sunanda Mitra, "Lossless Compression of Segmented Biomedical Images with an Adaptive Arithmetic Coding Model," cbms, pp.196, 12th IEEE Symposium on Computer-Based Medical Systems (CBMS'99), 1999
Usage of this product signifies your acceptance of the Terms of Use.