The advanced OCA for 2-D discrete periodized wavelet transformation

In this correspondence, me develop a novel computation method for the 2-D d iscrete periodized wavelet transformation (DPWT). The new algorithm is base d on the operator correlation algorithm (OCA). Compared with the classical 2-D pyramid algorithm, the new advanced operator correlation algorithm (AOC A) 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 filt er coefficients. Furthermore, the modular structure of the AOCA makes it pa rticularly suitable for a VLSI implementation.