Window mode filter for image denoising

Chang Jian, Kiichi Urahama

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We formulate the window mode filter (WMF) which is an extension of the point-wise mode filter to windowed version. We then derive from the WMF the window-weighted bilateral filter (WWBF) which is different from the previously presented window bilateral filter (WBF). We demonstrate with experiments that the WWBF outperforms WBF for images contaminated with Gaussian noises and those with mixed Gaussian and impulsive noises. We also show that the PSNR of iterated WWBF is always larger than the iterated WBF.

Original languageEnglish
Title of host publicationTENCON 2010 - 2010 IEEE Region 10 Conference
Pages1641-1646
Number of pages6
DOIs
Publication statusPublished - Dec 1 2010
Event2010 IEEE Region 10 Conference, TENCON 2010 - Fukuoka, Japan
Duration: Nov 21 2010Nov 24 2010

Publication series

NameIEEE Region 10 Annual International Conference, Proceedings/TENCON

Other

Other2010 IEEE Region 10 Conference, TENCON 2010
CountryJapan
CityFukuoka
Period11/21/1011/24/10

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering

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  • Cite this

    Jian, C., & Urahama, K. (2010). Window mode filter for image denoising. In TENCON 2010 - 2010 IEEE Region 10 Conference (pp. 1641-1646). [5686026] (IEEE Region 10 Annual International Conference, Proceedings/TENCON). https://doi.org/10.1109/TENCON.2010.5686026