Efficient lifting wavelet transform for microprocessor and VLSI applications

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

    Research output: Contribution to journalArticleScientificpeer-review

    21 Citations (Scopus)


    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
    JournalIEEE Signal Processing Letters
    Issue number2
    Publication statusPublished - 2005
    MoE publication typeA1 Journal article-refereed


    • 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


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