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 - Sep 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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