loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Data Compression Conference (DCC'06)
Snowbird, Utah
March 28-March 30
ISBN: 0-7695-2545-8
Maria Bras-Amoros, Universitat Autonoma de Barcelona, Spain
Jorge Gonzalez-Conejero, Universitat Autonoma de Barcelona, Spain
Pere Guitart-Colom, Universitat Autonoma de Barcelona, Spain
Joan Serra-Sagrista, Universitat Autonoma de Barcelona, Spain
Fernando Garcia-Vilchez, Universitat Autonoma de Barcelona, Spain
Most wavelet-based image compression algorithms include a bit plane encoder to transmit all wavelet-transformed coefficients. We define the length of a coefficient as the length of its binary representation. For each bit position l, from the largest length to 1, a significance pass states where the length-l coefficients are located; then a sign pass determines the sign of the length-l coefficients; finally, a refinement pass determines the bit located at position l for all coefficients of length strictly larger than l. Existing algorithms do not use specific methods to encode sign and refinement bits, rather than some variants of arithmetic codification.
Citation:
Maria Bras-Amoros, Jorge Gonzalez-Conejero, Pere Guitart-Colom, Joan Serra-Sagrista, Fernando Garcia-Vilchez, "Still Image Compression Through Exhaustive Two-Valued Shape-Adaptive Searches," dcc, pp.441, Data Compression Conference (DCC'06), 2006
Usage of this product signifies your acceptance of the Terms of Use.