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

Fingerprint

Gaussian noise (electronic)
Image denoising
Impulse noise
Experiments

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering

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

Window mode filter for image denoising. / Jian, Chang; Urahama, Kiichi.

TENCON 2010 - 2010 IEEE Region 10 Conference. 2010. p. 1641-1646 5686026 (IEEE Region 10 Annual International Conference, Proceedings/TENCON).

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

Jian, C & Urahama, K 2010, Window mode filter for image denoising. in TENCON 2010 - 2010 IEEE Region 10 Conference., 5686026, IEEE Region 10 Annual International Conference, Proceedings/TENCON, pp. 1641-1646, 2010 IEEE Region 10 Conference, TENCON 2010, Fukuoka, Japan, 11/21/10. https://doi.org/10.1109/TENCON.2010.5686026
Jian C, Urahama K. Window mode filter for image denoising. In TENCON 2010 - 2010 IEEE Region 10 Conference. 2010. p. 1641-1646. 5686026. (IEEE Region 10 Annual International Conference, Proceedings/TENCON). https://doi.org/10.1109/TENCON.2010.5686026
Jian, Chang ; Urahama, Kiichi. / Window mode filter for image denoising. TENCON 2010 - 2010 IEEE Region 10 Conference. 2010. pp. 1641-1646 (IEEE Region 10 Annual International Conference, Proceedings/TENCON).
@inproceedings{503fe60760db4829b85cee82ca5d67a2,
title = "Window mode filter for image denoising",
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.",
author = "Chang Jian and Kiichi Urahama",
year = "2010",
month = "12",
day = "1",
doi = "10.1109/TENCON.2010.5686026",
language = "English",
isbn = "9781424468904",
series = "IEEE Region 10 Annual International Conference, Proceedings/TENCON",
pages = "1641--1646",
booktitle = "TENCON 2010 - 2010 IEEE Region 10 Conference",

}

TY - GEN

T1 - Window mode filter for image denoising

AU - Jian, Chang

AU - Urahama, Kiichi

PY - 2010/12/1

Y1 - 2010/12/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=79951589543&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=79951589543&partnerID=8YFLogxK

U2 - 10.1109/TENCON.2010.5686026

DO - 10.1109/TENCON.2010.5686026

M3 - Conference contribution

SN - 9781424468904

T3 - IEEE Region 10 Annual International Conference, Proceedings/TENCON

SP - 1641

EP - 1646

BT - TENCON 2010 - 2010 IEEE Region 10 Conference

ER -