DocumentCode :
3348068
Title :
Adaptive filter banks for lossless image compression
Author :
Oktem, Rusen ; Gerek, Ömer N. ; Çetin, Enis ; Oktem, L. ; Egiazarian, Karen
Author_Institution :
Tampere Univ. of Technol., Finland
Volume :
3
fYear :
2001
fDate :
2001
Firstpage :
1809
Abstract :
A subband decomposition based lossless image compression algorithm based on adaptive methods is described. The decomposition is achieved by a two-channel adaptive filter bank. The resulting coefficients are lossy coded first, and then the residual error between the lossy and error free coefficients are compressed. The locations and the magnitudes of the nonzero coefficients are encoded separately by a hierarchical enumerative coding method. The locations of the nonzero coefficients in child bands are predicted from those in the parent band. The proposed compression algorithm, on the average, provides higher compression ratios than the state-of-the-art methods
Keywords :
adaptive filters; channel bank filters; data compression; entropy codes; image coding; least mean squares methods; LMS filters; child band; compression ratios; entropy coding; error free coefficients; hierarchical enumerative coding; lossless image compression; lossy coded coefficients; nonzero coefficients; parent band; perfect reconstruction filter banks; residual error; subband decomposition; two-channel adaptive filter banks; Adaptive filters; Energy resolution; Filter bank; Filtering; Finite impulse response filter; Image coding; Image resolution; Least squares approximation; Pediatrics; Signal resolution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
Conference_Location :
Salt Lake City, UT
ISSN :
1520-6149
Print_ISBN :
0-7803-7041-4
Type :
conf
DOI :
10.1109/ICASSP.2001.941293
Filename :
941293
Link To Document :
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