DocumentCode :
2336574
Title :
Nonlinear binary wavelet transforms and their application to binary image compression
Author :
Kamstra, Lute
Author_Institution :
Dept. of Math. & Comput. Sci., Amsterdam Univ., Netherlands
Volume :
3
fYear :
2002
fDate :
24-28 June 2002
Firstpage :
593
Abstract :
Most research on wavelet transforms of binary signals and images has been concentrated on linear transforms. This paper proposes a binary wavelet transform scheme that does not depend on the field structure of binary numbers and includes nonlinear transforms. As a result, the number of binary wavelet transforms increases drastically. It is demonstrated that the increased freedom in choosing a particular transform can be useful in binary image compression. Nonlinear transforms reduce the empirical entropy of the test images substantially better than linear transforms.
Keywords :
data compression; image coding; transform coding; wavelet transforms; binary image compression; discrete wavelet transform; empirical entropy reduction; nonlinear binary wavelet transforms; test images; Application software; Computer science; Discrete transforms; Discrete wavelet transforms; Entropy; Galois fields; Image coding; Mathematics; Testing; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing. 2002. Proceedings. 2002 International Conference on
ISSN :
1522-4880
Print_ISBN :
0-7803-7622-6
Type :
conf
DOI :
10.1109/ICIP.2002.1039040
Filename :
1039040
Link To Document :
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