Graph-spectral filter for removing mixture of gaussian and random impulsive noise

Yu Qiu; Zenggang Pu; Kiichi Urahama

doi:10.1587/transfun.E94.A.457

Graph-spectral filter for removing mixture of gaussian and random impulsive noise

Yu Qiu, Zenggang Pu, Kiichi Urahama

Research output: Contribution to journal › Article › peer-review

Abstract

We propose, in this lettei; a new type of image denois ing 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 im pulsive noise.

Original language	English
Pages (from-to)	457-460
Number of pages	4
Journal	IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Volume	E94-A
Issue number	1
DOIs	https://doi.org/10.1587/transfun.E94.A.457
Publication status	Published - Jan 1 2011

All Science Journal Classification (ASJC) codes

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

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10.1587/transfun.E94.A.457

Cite this

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Graph-spectral filter for removing mixture of gaussian and random impulsive noise

Abstract

All Science Journal Classification (ASJC) codes

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