Denoising of multi-modal images with PCA self-cross bilateral filter

Yu Qiu, Kiichi Urahama

    Research output: Contribution to journalArticlepeer-review

    1 Citation (Scopus)


    We present the PCA self-cross bilateral filter for denois-ing multi-modal images. We firstly apply the principal component analysis for input multi-modal images. We next smooth the first principal component with a preliminary filter and use it as a supplementary image for cross bilateral filtering of input images. Among some preliminary filters, the undecimated wavelet transform is useful for effective denoising of various multi-modal images such as color, multi-lighting and medical images.

    Original languageEnglish
    Pages (from-to)1709-1712
    Number of pages4
    JournalIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
    Issue number9
    Publication statusPublished - Sept 2010

    All Science Journal Classification (ASJC) codes

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


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