Title :
Efficient lifting wavelet transform for microprocessor and VLSI applications
Author :
Olkkonen, H. ; Olkkonen, J.T. ; Pesola, P.
Author_Institution :
Dept. of Appl. Phys., Univ. of Kuopio, Finland
Abstract :
Recently, wavelet analysis has gained an established role in signal and image processing applications. In this paper, we present a discrete wavelet transform algorithm based on the lifting scheme. The Haar wavelet transformed and decimated signals are lifted by the ladder-type network. A unique lifting filter is designed for in-place computation. The present algorithm is especially suitable for microprocessor and VLSI applications since it can be implemented by integer arithmetics using only register shifts and summations.
Keywords :
Haar transforms; VLSI; discrete wavelet transforms; filtering theory; image processing; ladder networks; microprocessor chips; Haar wavelet transform; VLSI applications; discrete wavelet transform algorithm; in-place computation; integer arithmetics; ladder-type network; lifting filter; microprocessor; signal-image processing; Discrete wavelet transforms; Filters; Image analysis; Image processing; Microprocessors; Signal analysis; Signal processing; Very large scale integration; Wavelet analysis; Wavelet transforms; Lifting scheme; VLSI; microprocessors; wavelet transform;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2004.840904
