The advanced OCA for 2-D discrete periodized wavelet transformation

Author

Hung, King-Chu ; Huang, Yu-Jung ; Kuo, Jyh-Ming ; Truong, Trieu-Kien

Author_Institution

Dept. of Electr. & Inf. Eng, I-Shou Univ., Kaohsiung, Taiwan

Volume

47

Issue

10

fYear

1999

fDate

10/1/1999 12:00:00 AM

Firstpage

2874

Lastpage

2878

Abstract

We develop a novel computation method for the 2-D discrete periodized wavelet transformation (DPWT). The new algorithm is based on the operator correlation algorithm (OCA). Compared with the classical 2-D pyramid algorithm, the new advanced operator correlation algorithm (AOCA) has two major advantages; it requires half the number of multiplications and can yield the same output SNR with half the precision of the DPWT filter coefficients. Furthermore, the modular structure of the ADCA makes it particularly suitable for a VLSI implementation

Keywords

VLSI; correlation methods; data compression; discrete wavelet transforms; filtering theory; high-pass filters; image coding; transform coding; 2D discrete periodized wavelet transformation; 2D pyramid algorithm; DPWT filter coefficients; VLSI implementation; advanced OCA; advanced operator correlation algorithm; algorithm; computation method; digital image analysis; homeomorphic highpass filter; image coding; image compression; modular structure; multiplications; operator correlation algorithm; output SNR; Delay; Digital images; Discrete wavelet transforms; Finite impulse response filter; Image analysis; Image coding; Image reconstruction; Two dimensional displays; Very large scale integration; Wavelet analysis;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/78.790669

Filename

790669