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Denoising of Multi-Modal Images with PCA Self-Cross Bilateral Filter Yu QIU Kiichi URAHAMA Publication IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Vol.E93-A No.9 pp.1709-1712 Publication Date: 2010/09/01 Online ISSN: 1745-1337 DOI: 10.1587/transfun.E93.A.1709 Print ISSN: 0916-8508 Type of Manuscript: LETTER Category: Image Keyword: multi-modal image, bilateral filter, cross bilateral filter, principal component analysis, Full Text: PDF(567.9KB)>>
Summary: We present the PCA self-cross bilateral filter for denoising 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. | ||||||||||
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