Fast spatial averaging filter

Chun Ming Tsai, Zong-Mu Yeh

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

4 Citations (Scopus)

Abstract

Spatial averaging filter involves smoothing noise images into non-noise images, which is a feature that has significantly impacted many portable devices in recent years, including Tablet PC, E-book reader, and mobile camera phones. Given the limited memory space and the computational power of portable devices, reducing the space and computational complexity of an embedded system is of priority concern. This work presents an efficient algorithm for spatial averaging filter with less computational complexity. Less auxiliary memory is applied to avoid re-compute the sum and to retain the sum between rows. Experimental results demonstrate that the proposed method is faster than other comparison methods in time complexity. Moreover, the proposed algorithm can be run in personal digital products due to its simplicity and efficiency.

Original languageEnglish
Title of host publicationProceedings - 2012 International Symposium on Computer, Consumer and Control, IS3C 2012
Pages153-156
Number of pages4
DOIs
Publication statusPublished - 2012 Jul 30
Event2012 International Symposium on Computer, Consumer and Control, IS3C 2012 - Taichung, Taiwan
Duration: 2012 Jun 42012 Jun 6

Publication series

NameProceedings - 2012 International Symposium on Computer, Consumer and Control, IS3C 2012

Other

Other2012 International Symposium on Computer, Consumer and Control, IS3C 2012
CountryTaiwan
CityTaichung
Period12/6/412/6/6

Fingerprint

Computational complexity
Data storage equipment
Embedded systems
Cameras

Keywords

  • auxiliary memory
  • noise reduction
  • smoothing spatial filter
  • spatial averaging filter

ASJC Scopus subject areas

  • Computer Networks and Communications

Cite this

Tsai, C. M., & Yeh, Z-M. (2012). Fast spatial averaging filter. In Proceedings - 2012 International Symposium on Computer, Consumer and Control, IS3C 2012 (pp. 153-156). [6228270] (Proceedings - 2012 International Symposium on Computer, Consumer and Control, IS3C 2012). https://doi.org/10.1109/IS3C.2012.47

Fast spatial averaging filter. / Tsai, Chun Ming; Yeh, Zong-Mu.

Proceedings - 2012 International Symposium on Computer, Consumer and Control, IS3C 2012. 2012. p. 153-156 6228270 (Proceedings - 2012 International Symposium on Computer, Consumer and Control, IS3C 2012).

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

Tsai, CM & Yeh, Z-M 2012, Fast spatial averaging filter. in Proceedings - 2012 International Symposium on Computer, Consumer and Control, IS3C 2012., 6228270, Proceedings - 2012 International Symposium on Computer, Consumer and Control, IS3C 2012, pp. 153-156, 2012 International Symposium on Computer, Consumer and Control, IS3C 2012, Taichung, Taiwan, 12/6/4. https://doi.org/10.1109/IS3C.2012.47
Tsai CM, Yeh Z-M. Fast spatial averaging filter. In Proceedings - 2012 International Symposium on Computer, Consumer and Control, IS3C 2012. 2012. p. 153-156. 6228270. (Proceedings - 2012 International Symposium on Computer, Consumer and Control, IS3C 2012). https://doi.org/10.1109/IS3C.2012.47
Tsai, Chun Ming ; Yeh, Zong-Mu. / Fast spatial averaging filter. Proceedings - 2012 International Symposium on Computer, Consumer and Control, IS3C 2012. 2012. pp. 153-156 (Proceedings - 2012 International Symposium on Computer, Consumer and Control, IS3C 2012).
@inproceedings{efca2a711073482798be5e18b020d587,
title = "Fast spatial averaging filter",
abstract = "Spatial averaging filter involves smoothing noise images into non-noise images, which is a feature that has significantly impacted many portable devices in recent years, including Tablet PC, E-book reader, and mobile camera phones. Given the limited memory space and the computational power of portable devices, reducing the space and computational complexity of an embedded system is of priority concern. This work presents an efficient algorithm for spatial averaging filter with less computational complexity. Less auxiliary memory is applied to avoid re-compute the sum and to retain the sum between rows. Experimental results demonstrate that the proposed method is faster than other comparison methods in time complexity. Moreover, the proposed algorithm can be run in personal digital products due to its simplicity and efficiency.",
keywords = "auxiliary memory, noise reduction, smoothing spatial filter, spatial averaging filter",
author = "Tsai, {Chun Ming} and Zong-Mu Yeh",
year = "2012",
month = "7",
day = "30",
doi = "10.1109/IS3C.2012.47",
language = "English",
isbn = "9780769546551",
series = "Proceedings - 2012 International Symposium on Computer, Consumer and Control, IS3C 2012",
pages = "153--156",
booktitle = "Proceedings - 2012 International Symposium on Computer, Consumer and Control, IS3C 2012",

}

TY - GEN

T1 - Fast spatial averaging filter

AU - Tsai, Chun Ming

AU - Yeh, Zong-Mu

PY - 2012/7/30

Y1 - 2012/7/30

N2 - Spatial averaging filter involves smoothing noise images into non-noise images, which is a feature that has significantly impacted many portable devices in recent years, including Tablet PC, E-book reader, and mobile camera phones. Given the limited memory space and the computational power of portable devices, reducing the space and computational complexity of an embedded system is of priority concern. This work presents an efficient algorithm for spatial averaging filter with less computational complexity. Less auxiliary memory is applied to avoid re-compute the sum and to retain the sum between rows. Experimental results demonstrate that the proposed method is faster than other comparison methods in time complexity. Moreover, the proposed algorithm can be run in personal digital products due to its simplicity and efficiency.

AB - Spatial averaging filter involves smoothing noise images into non-noise images, which is a feature that has significantly impacted many portable devices in recent years, including Tablet PC, E-book reader, and mobile camera phones. Given the limited memory space and the computational power of portable devices, reducing the space and computational complexity of an embedded system is of priority concern. This work presents an efficient algorithm for spatial averaging filter with less computational complexity. Less auxiliary memory is applied to avoid re-compute the sum and to retain the sum between rows. Experimental results demonstrate that the proposed method is faster than other comparison methods in time complexity. Moreover, the proposed algorithm can be run in personal digital products due to its simplicity and efficiency.

KW - auxiliary memory

KW - noise reduction

KW - smoothing spatial filter

KW - spatial averaging filter

UR - http://www.scopus.com/inward/record.url?scp=84864222337&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84864222337&partnerID=8YFLogxK

U2 - 10.1109/IS3C.2012.47

DO - 10.1109/IS3C.2012.47

M3 - Conference contribution

AN - SCOPUS:84864222337

SN - 9780769546551

T3 - Proceedings - 2012 International Symposium on Computer, Consumer and Control, IS3C 2012

SP - 153

EP - 156

BT - Proceedings - 2012 International Symposium on Computer, Consumer and Control, IS3C 2012

ER -