Efficient lifting wavelet transform for microprocessor and VLSI applications

Hannu Olkkonen; Juuso T. Olkkonen; P. Pesola

doi:10.1109/LSP.2004.840904

Efficient lifting wavelet transform for microprocessor and VLSI applications

Hannu Olkkonen (Corresponding Author), Juuso T. Olkkonen, P. Pesola

University of Eastern Finland

Research output: Contribution to journal › Article › Scientific › peer-review

21 Citations (Scopus)

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.

Original language	English
Pages (from-to)	120-122
Journal	IEEE Signal Processing Letters
Volume	12
Issue number	2
DOIs	https://doi.org/10.1109/LSP.2004.840904
Publication status	Published - 2005
MoE publication type	A1 Journal article-refereed

Keywords

Haar transforms
VLSI
discrete wavelet transforms
filtering theory
image processing
ladder networks
microprocessor chips
in-place computation
integer arithmetics
ladder-type network
lifting filter
microprocessor
signal-image processing

Access to Document

10.1109/LSP.2004.840904

Cite this

@article{ea28465ea17344d1b305c83656338f9b,

title = "Efficient lifting wavelet transform for microprocessor and VLSI applications",

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, in-place computation, integer arithmetics, ladder-type network, lifting filter, microprocessor, signal-image processing",

author = "Hannu Olkkonen and Olkkonen, {Juuso T.} and P. Pesola",

year = "2005",

doi = "10.1109/LSP.2004.840904",

language = "English",

volume = "12",

pages = "120--122",

journal = "IEEE Signal Processing Letters",

issn = "1070-9908",

publisher = "IEEE Institute of Electrical and Electronic Engineers",

number = "2",

}

TY - JOUR

T1 - Efficient lifting wavelet transform for microprocessor and VLSI applications

AU - Olkkonen, Hannu

AU - Olkkonen, Juuso T.

AU - Pesola, P.

PY - 2005

Y1 - 2005

N2 - 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.

AB - 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.

KW - Haar transforms

KW - VLSI

KW - discrete wavelet transforms

KW - filtering theory

KW - image processing

KW - ladder networks

KW - microprocessor chips

KW - in-place computation

KW - integer arithmetics

KW - ladder-type network

KW - lifting filter

KW - microprocessor

KW - signal-image processing

U2 - 10.1109/LSP.2004.840904

DO - 10.1109/LSP.2004.840904

M3 - Article

SN - 1070-9908

VL - 12

SP - 120

EP - 122

JO - IEEE Signal Processing Letters

JF - IEEE Signal Processing Letters

IS - 2

ER -

Efficient lifting wavelet transform for microprocessor and VLSI applications

Abstract

Keywords

Access to Document

Fingerprint

Cite this