Parallelizing image processing algorithms
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Author(s)
Detail(s)
| Original language | English |
|---|---|
| Title of host publication | Proceedings Tencon '93: 1993 IEEE Region 10 Conference on "Computer, Communication, Control and Power Engineering" |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. |
| Pages | 942-944 |
| ISBN (print) | 780312333 |
| Publication status | Published - 1993 |
Conference
| Title | Proceedings of the 1993 IEEE Region 10 Conference on Computer, Communication, Control aand Power Engineering. Part 3 (of 5) |
|---|---|
| City | Beijing, China |
| Period | 19 - 21 October 1993 |
Link(s)
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.
Citation Format(s)
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". Institute of Electrical and Electronics Engineers, Inc., 1993. p. 942-944.
Proceedings Tencon '93: 1993 IEEE Region 10 Conference on "Computer, Communication, Control and Power Engineering". Institute of Electrical and Electronics Engineers, Inc., 1993. p. 942-944.
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
