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

Yu Qiu, Zenggang Pu, Kiichi Urahama

Research output: Contribution to journalArticlepeer-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 languageEnglish
Pages (from-to)457-460
Number of pages4
JournalIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
VolumeE94-A
Issue number1
DOIs
Publication statusPublished - Jan 1 2011

All Science Journal Classification (ASJC) codes

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

Fingerprint Dive into the research topics of 'Graph-spectral filter for removing mixture of gaussian and random impulsive noise'. Together they form a unique fingerprint.

Cite this