Graph-Spectral Filter for Removing Mixture of Gaussian and Random Impulsive Noise

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概要

• 論文の詳細を見る

• We propose, in this letter, a new type of image denoising filter using a data analysis technique. We deal with pixels as data and extract the most dominant cluster from pixels in the filtering window. We output the centroid of the extracted cluster. We demonstrate that this graph-spectral filter can effectively reduce a mixture of Gaussian and random impulsive noise.

著者

• URAHAMA Kiichi

  Faculty of Design, Kyushu University

• QIU Yu

  College of Communication Engineering, Chongqing University

• DU Zenggang

  Faculty of Design, Kyushu University

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