DocumentCode :
1232941
Title :
Size-limited filter banks for subband image compression
Author :
Nuri, Veyis ; Bamberger, Roberto H.
Author_Institution :
Sch. of Electr. Eng. & Comput. Sci., Washington State Univ., Pullman, WA, USA
Volume :
4
Issue :
9
fYear :
1995
fDate :
9/1/1995 12:00:00 AM
Firstpage :
1317
Lastpage :
1323
Abstract :
A size-limited filter bank (SLFB) is a maximally decimated filter bank operating on a finite length (duration) input signal resulting in subband components whose total number of independent samples is equal to the number of input samples. A theoretical framework for the design, analysis, and implementation of such filter banks resulting from applying FIR separable filter banks to finite length signals is presented. The concept of maximizing theoretical coding gain (TCG) using optimal bit allocation is generalized for this special case. Using TCG, the relative merits of various different SLFBs are addressed
Keywords :
FIR filters; band-pass filters; data compression; delay circuits; filtering theory; image coding; image sampling; time-varying filters; FIR separable filter banks; design; finite duration input signal; finite length input signal; linear time varying analysis/synthesis filters; maximally decimated filter bank; optimal bit allocation; signal samples; size-limited filter bank; subband image compression; theoretical coding gain; Band pass filters; Bit rate; Channel bank filters; Filter bank; Finite impulse response filter; Image coding; Image reconstruction; Signal analysis; Signal design; Signal synthesis;
fLanguage :
English
Journal_Title :
Image Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1057-7149
Type :
jour
DOI :
10.1109/83.413177
Filename :
413177
Link To Document :
بازگشت