Denoising of Multi-Modal Images with PCA Self-Cross Bilateral Filter
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概要
- 論文の詳細を見る
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.
- （社）電子情報通信学会の論文
- 2010-09-01
著者
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Urahama Kiichi
Faculty Of Design Kyushu University
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Qiu Yu
Chongqing Univ. Chongqing Chn
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Qiu Yu
College Of Communication Engineering Chongqing University
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Urahama Kiichi
Kyushu Univ. Fukuoka‐shi Jpn
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Urahama Kiichi
Faculty Of Computer Science And Systems Engineering Kyushu Institute Of Technology
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