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