The algorithm of fast mean filtering

Jian Jia Pan; Yuan Yan Tang; Bao Chang Pan

doi:10.1109/ICWAPR.2007.4420672

The algorithm of fast mean filtering

Jian Jia Pan
, Yuan Yan Tang
, Bao Chang Pan

Department of Computer Science

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

35 Citations (Scopus)

Abstract

Mean filtering is a normal filtering method. It simply smoothes local variations in an image, and noise is reduced as a result of blurring. But it takes many times to compute the neighborhood pixels. An algorithm of Fast Mean Filtering (FMF) is presented in this paper. The processing speed of the FMF is much faster than the traditional mean filtering, and the filtering result is the same as the traditional mean filtering.

Original language	English
Title of host publication	Proceedings of the 2007 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR '07
Publisher	IEEE
Pages	244-248
Number of pages	5
Volume	1
ISBN (Electronic)	9781424410668
ISBN (Print)	1424410665, 9781424410651
DOIs	https://doi.org/10.1109/ICWAPR.2007.4420672
Publication status	Published - 2 Nov 2007
Event	2007 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR 2007 - Beijing, China Duration: 2 Nov 2007 → 4 Nov 2007

Publication series

Name	Proceedings of the International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR
Publisher	IEEE
ISSN (Print)	2158-5695
ISSN (Electronic)	2158-5709

Conference

Conference	2007 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR 2007
Country/Territory	China
City	Beijing
Period	2/11/07 → 4/11/07

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

User-Defined Keywords

Computation time
Fast mean filtering
Mean filter

Access to Document

10.1109/ICWAPR.2007.4420672

Cite this

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title = "The algorithm of fast mean filtering",

abstract = "Mean filtering is a normal filtering method. It simply smoothes local variations in an image, and noise is reduced as a result of blurring. But it takes many times to compute the neighborhood pixels. An algorithm of Fast Mean Filtering (FMF) is presented in this paper. The processing speed of the FMF is much faster than the traditional mean filtering, and the filtering result is the same as the traditional mean filtering.",

keywords = "Computation time, Fast mean filtering, Mean filter",

author = "Pan, \{Jian Jia\} and Tang, \{Yuan Yan\} and Pan, \{Bao Chang\}",

note = "Publisher copyright: {\textcopyright} 2007 IEEE; 2007 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR 2007 ; Conference date: 02-11-2007 Through 04-11-2007",

year = "2007",

month = nov,

day = "2",

doi = "10.1109/ICWAPR.2007.4420672",

language = "English",

isbn = "1424410665",

volume = "1",

series = "Proceedings of the International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR",

publisher = "IEEE",

pages = "244--248",

booktitle = "Proceedings of the 2007 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR '07",

address = "United States",

}

Pan, JJ, Tang, YY & Pan, BC 2007, The algorithm of fast mean filtering. in Proceedings of the 2007 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR '07. vol. 1, Proceedings of the International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR, IEEE, pp. 244-248, 2007 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR 2007, Beijing, China, 2/11/07. https://doi.org/10.1109/ICWAPR.2007.4420672

The algorithm of fast mean filtering. / Pan, Jian Jia; Tang, Yuan Yan; Pan, Bao Chang.
Proceedings of the 2007 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR '07. Vol. 1 IEEE, 2007. p. 244-248 (Proceedings of the International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR).

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

TY - GEN

T1 - The algorithm of fast mean filtering

AU - Pan, Jian Jia

AU - Tang, Yuan Yan

AU - Pan, Bao Chang

PY - 2007/11/2

Y1 - 2007/11/2

N2 - Mean filtering is a normal filtering method. It simply smoothes local variations in an image, and noise is reduced as a result of blurring. But it takes many times to compute the neighborhood pixels. An algorithm of Fast Mean Filtering (FMF) is presented in this paper. The processing speed of the FMF is much faster than the traditional mean filtering, and the filtering result is the same as the traditional mean filtering.

AB - Mean filtering is a normal filtering method. It simply smoothes local variations in an image, and noise is reduced as a result of blurring. But it takes many times to compute the neighborhood pixels. An algorithm of Fast Mean Filtering (FMF) is presented in this paper. The processing speed of the FMF is much faster than the traditional mean filtering, and the filtering result is the same as the traditional mean filtering.

KW - Computation time

KW - Fast mean filtering

KW - Mean filter

UR - https://www.scopus.com/pages/publications/45149100919

U2 - 10.1109/ICWAPR.2007.4420672

DO - 10.1109/ICWAPR.2007.4420672

M3 - Conference proceeding

AN - SCOPUS:45149100919

SN - 1424410665

SN - 9781424410651

VL - 1

T3 - Proceedings of the International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR

SP - 244

EP - 248

BT - Proceedings of the 2007 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR '07

PB - IEEE

T2 - 2007 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR 2007

Y2 - 2 November 2007 through 4 November 2007

ER -

The algorithm of fast mean filtering

Abstract

Publication series

Conference

UN SDGs

User-Defined Keywords

Access to Document

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