A bottom-up design approach of critically sampled contourlet transform for efficient image representation

Seisuke Kyochi, Shizuka Higaki, Yuichi Tanaka, Masaaki Ikehara

    Research output: Contribution to journalArticle

    Abstract

    In this paper, a novel design method of critically sampled contourlet transform (CSCT) is proposed. The original CT which consists of Laplacian pyramid and directional filter bank provides efficient frequency plane partition for image representation. However its overcompleteness is not suitable for some applications such as image coding, its critical sampling version has been studied recently. Although several types of the CSCT have been proposed, they have problems on their realization or unnatural frequency plane partition which is different from the original CT. In contrast to the way in conventional design methods based on a "topdown" approach, the proposed method is based on a "bottom-up" one. That is, the proposed CSCT decomposes the frequency plane into small directional subbands, and then synthesizes them up to a target frequency plane partition, while the conventional ones decompose into it directly. By this way, the proposed CSCT can design an efficient frequency division which is the same as the original CT for image representation can be realized. In this paper, its effectiveness is verified by non-linear approximation simulation.

    Original languageEnglish
    Pages (from-to)762-771
    Number of pages10
    JournalIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
    VolumeE92-A
    Issue number3
    DOIs
    Publication statusPublished - 2009 Jan 1

    Keywords

    • Contourlet
    • Critical sampling
    • Directional filter bank
    • Non-linear approximation
    • Wavelet transform

    ASJC Scopus subject areas

    • Signal Processing
    • Computer Graphics and Computer-Aided Design
    • Electrical and Electronic Engineering
    • Applied Mathematics

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