The application of lifting DWT in digital image processing

Azadeh Safari, Yinan Kong*

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

    2 Citations (Scopus)

    Abstract

    Discrete wavelet transform (DWT) has shown great performance in digital image compression and denoising applications. It has been the transformation used for source encoding in JPEG2000 still image compression standard and FBI wavelet scalar quantization. This paper has adopted the lifting DWT which is the most computation-efficient scheme of wavelet analysis and outlines the multi-resolution features of the wavelet transform. Details of the lifting wavelet transform are analyzed to propose a high-speed, less-area and power-efficient digital image compression scheme. Maple 15 has been employed for design and simulation studies.

    Original languageEnglish
    Title of host publicationAdvances in Mechanical and Electronic Engineering
    EditorsDavid Jin, Sally Lin
    Place of PublicationHeidelberg
    PublisherSpringer, Springer Nature
    Pages449-453
    Number of pages5
    Volume178 LNEE
    ISBN (Print)9783642315275
    DOIs
    Publication statusPublished - 2013
    Event2012 International Conference on Mechanical and Electronic Engineering, ICMEE 2012 - Hefei, China
    Duration: 23 Jun 201224 Jun 2012

    Publication series

    NameLecture Notes in Electrical Engineering
    NumberVOL. 3
    Volume178 LNEE
    ISSN (Print)18761100
    ISSN (Electronic)18761119

    Other

    Other2012 International Conference on Mechanical and Electronic Engineering, ICMEE 2012
    CountryChina
    CityHefei
    Period23/06/1224/06/12

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