Title :
Forward adaptive modeling for context-based compression of large binary images in applications requiring spatial access
Author :
Ageenko, Eugene ; Fränti, Pasi
Author_Institution :
Dept. of Comput. Sci., Joensuu Univ., Finland
Abstract :
A method for compression of large binary images is proposed for applications where spatial access to the image is required. The proposed method is a two-stage combination of forward-adaptive modeling and backward-adaptive context based compression with re-initialization. Compression stage is performed by JBIG arithmetic coder, namely the QM-coder. The method improves the compression performance significantly in comparison to JBIG if it is used in a similar manner. Only minor modifications to the existing software implementations are required. Implementation details are provided
Keywords :
data compression; image coding; JBIG arithmetic coder; QM-coder; binary images; compression; context based compression; forward-adaptive modeling; large binary images; re-initialization; Application software; Arithmetic; Computer science; Context modeling; Costs; Geographic Information Systems; Image coding; Image databases; Image retrieval; Statistics;
Conference_Titel :
Image Processing, 1999. ICIP 99. Proceedings. 1999 International Conference on
Conference_Location :
Kobe
Print_ISBN :
0-7803-5467-2
DOI :
10.1109/ICIP.1999.817218
