Parallelizing image processing algorithms

K. L. Chan; W. M. Tsui; H. Y. Chan; H. Y. Wong; H. C. Lai

doi:10.1109/TENCON.1993.320168

Parallelizing image processing algorithms

K. L. Chan
, W. M. Tsui
, H. Y. Chan
, H. Y. Wong
, H. C. Lai

Department of Electrical Engineering

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

Abstract

Multiprocessor machines provide increased computational power and memory capacity that can be used to achieve task involving large amount of data such as image. For instance, many sophisticated operations on image data using a single processor machine take very long time. With multiprocessor machine, such operations will be accomplished within reasonable time constraints. In order to efficiently utilize multiprocessor machines, conventional image processing algorithms have to be parallelized.

Original language	English
Title of host publication	Proceedings Tencon '93: 1993 IEEE Region 10 Conference on "Computer, Communication, Control and Power Engineering"
Publisher	IEEE
Pages	942-944
Volume	2
ISBN (Print)	0780312333
DOIs	https://doi.org/10.1109/TENCON.1993.320168
Publication status	Published - Oct 1993
Event	1993 IEEE Region 10 Conference on Computer, Communication, Control and Power Engineering (TENCON '93) - Beijing, China Duration: 19 Oct 1993 → 21 Oct 1993

Conference

Conference	1993 IEEE Region 10 Conference on Computer, Communication, Control and Power Engineering (TENCON '93)
Place	China
City	Beijing
Period	19/10/93 → 21/10/93

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10.1109/TENCON.1993.320168

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@inproceedings{6e414cab8d7147cc87b52146162945b0,

title = "Parallelizing image processing algorithms",

abstract = "Multiprocessor machines provide increased computational power and memory capacity that can be used to achieve task involving large amount of data such as image. For instance, many sophisticated operations on image data using a single processor machine take very long time. With multiprocessor machine, such operations will be accomplished within reasonable time constraints. In order to efficiently utilize multiprocessor machines, conventional image processing algorithms have to be parallelized.",

author = "Chan, \{K. L.\} and Tsui, \{W. M.\} and Chan, \{H. Y.\} and Wong, \{H. Y.\} and Lai, \{H. C.\}",

year = "1993",

month = oct,

doi = "10.1109/TENCON.1993.320168",

language = "English",

isbn = "0780312333",

volume = "2",

pages = "942--944",

booktitle = "Proceedings Tencon '93: 1993 IEEE Region 10 Conference on {"}Computer, Communication, Control and Power Engineering{"}",

publisher = "IEEE",

address = "United States",

note = "1993 IEEE Region 10 Conference on Computer, Communication, Control and Power Engineering (TENCON '93) ; Conference date: 19-10-1993 Through 21-10-1993",

}

Chan, KL, Tsui, WM, Chan, HY, Wong, HY & Lai, HC 1993, Parallelizing image processing algorithms. in Proceedings Tencon '93: 1993 IEEE Region 10 Conference on "Computer, Communication, Control and Power Engineering". vol. 2, IEEE, pp. 942-944, 1993 IEEE Region 10 Conference on Computer, Communication, Control and Power Engineering (TENCON '93), Beijing, China, 19/10/93. https://doi.org/10.1109/TENCON.1993.320168

Parallelizing image processing algorithms. / Chan, K. L.; Tsui, W. M.; Chan, H. Y. et al.
Proceedings Tencon '93: 1993 IEEE Region 10 Conference on "Computer, Communication, Control and Power Engineering". Vol. 2 IEEE, 1993. p. 942-944.

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Parallelizing image processing algorithms

AU - Chan, K. L.

AU - Tsui, W. M.

AU - Chan, H. Y.

AU - Wong, H. Y.

AU - Lai, H. C.

PY - 1993/10

Y1 - 1993/10

N2 - Multiprocessor machines provide increased computational power and memory capacity that can be used to achieve task involving large amount of data such as image. For instance, many sophisticated operations on image data using a single processor machine take very long time. With multiprocessor machine, such operations will be accomplished within reasonable time constraints. In order to efficiently utilize multiprocessor machines, conventional image processing algorithms have to be parallelized.

AB - Multiprocessor machines provide increased computational power and memory capacity that can be used to achieve task involving large amount of data such as image. For instance, many sophisticated operations on image data using a single processor machine take very long time. With multiprocessor machine, such operations will be accomplished within reasonable time constraints. In order to efficiently utilize multiprocessor machines, conventional image processing algorithms have to be parallelized.

UR - https://www.scopus.com/pages/publications/0027735280

UR - https://www.scopus.com/pages/publications/0027735280#tab=impact

U2 - 10.1109/TENCON.1993.320168

DO - 10.1109/TENCON.1993.320168

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 0780312333

VL - 2

SP - 942

EP - 944

BT - Proceedings Tencon '93: 1993 IEEE Region 10 Conference on "Computer, Communication, Control and Power Engineering"

PB - IEEE

T2 - 1993 IEEE Region 10 Conference on Computer, Communication, Control and Power Engineering (TENCON '93)

Y2 - 19 October 1993 through 21 October 1993

ER -

Parallelizing image processing algorithms

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