The advanced OCA for 2-D discrete periodized wavelet transformation
King‐Chu Hung, Yu‐Jung Huang, Jyh-Ming Kuo, Trieu‐Kien Truong · IEEE Transactions on Signal Processing · 1999
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.