Title :
Low-complexity, efficient 9/7 wavelet filters implementation
Author :
Martina, Maurizio ; Masera, Guido
Author_Institution :
Dipt. di Elttronica, Politecnico di Torino, Turin, Italy
Abstract :
This paper proposes a novel low-complexity, efficient 9/7 wavelet filters implementation for image compression applications. The 9/7 wavelet filters are widely used in different image compression schemes, such as the JPEG2000 image coding standard. Thus the implementation of efficient codecs is of great concern. The performance of a hardware implementation of the 9/7 filter bank depends on the accuracy with which filter coefficients are represented. However the greatest part of current implementations consider filters taps as numbers to be implemented. The aim of this work is to show that great complexity reduction can be achieved going through the derivation of the 9/7 taps values.
Keywords :
channel bank filters; codecs; computational complexity; data compression; image coding; wavelet transforms; 9/7 filter bank; 9/7 wavelet filters; codecs; complexity reduction; image compression applications; wavelet filters; Codecs; Decorrelation; Discrete wavelet transforms; Filters; Hardware; Image coding; Image recognition; Timing; Transform coding; Video compression;
Conference_Titel :
Image Processing, 2005. ICIP 2005. IEEE International Conference on
Print_ISBN :
0-7803-9134-9
DOI :
10.1109/ICIP.2005.1530563