Efficient lifting wavelet transform for microprocessor and VLSI applications

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

Research output: Contribution to journalArticleScientificpeer-review

19 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 languageEnglish
Pages (from-to)120 - 122
Number of pages3
JournalIEEE Signal Processing Letters
Volume12
Issue number2
DOIs
Publication statusPublished - 2005
MoE publication typeA1 Journal article-refereed

Fingerprint

Microprocessor
Wavelet transforms
Wavelet Transform
Microprocessor chips
Lifting Scheme
Haar Wavelet
Shift registers
Wavelet analysis
Wavelet Analysis
Discrete wavelet transforms
Ladders
Summation
Signal Processing
Image Processing
Signal processing
Image processing
Filter
Integer

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

Cite this

Olkkonen, H. ; Olkkonen, Juuso, T. ; Pesola, P. / Efficient lifting wavelet transform for microprocessor and VLSI applications. In: IEEE Signal Processing Letters. 2005 ; Vol. 12, No. 2. pp. 120 - 122.
@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 = "H. 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 = "Institute of Electrical and Electronic Engineers IEEE",
number = "2",

}

Efficient lifting wavelet transform for microprocessor and VLSI applications. / Olkkonen, H. (Corresponding Author); Olkkonen, Juuso, T.; Pesola, P.

In: IEEE Signal Processing Letters, Vol. 12, No. 2, 2005, p. 120 - 122.

Research output: Contribution to journalArticleScientificpeer-review

TY - JOUR

T1 - Efficient lifting wavelet transform for microprocessor and VLSI applications

AU - Olkkonen, H.

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

VL - 12

SP - 120

EP - 122

JO - IEEE Signal Processing Letters

JF - IEEE Signal Processing Letters

SN - 1070-9908

IS - 2

ER -