Title :
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
fDate :
10/1/1999 12:00:00 AM
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;
Journal_Title :
Signal Processing, IEEE Transactions on
