Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)

Research on Real - time Image Processing Platform Based on Multi - core DSP

Authors
Xiaoming Liu
Corresponding Author
Xiaoming Liu
Available Online April 2017.
DOI
10.2991/icmmct-17.2017.249How to use a DOI?
Keywords
multi - core, DSP, real - time image processing platform
Abstract

In China, the information industry make progress of China's computer technology is also a step by step, about the exploration and application of image processing especially prominent, in particular, real-time image processing technology has been more attention. How to deal with massive data in real-time image processing is a worthy problem of our research in a limited time. In this paper, DSP as the core, pointing out the image processing aspects of the program and platform power supply, PCB design, and DSP - based real - time image processing platform for analysis of the advantages of the application.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)
Series
Advances in Engineering Research
Publication Date
April 2017
ISBN
978-94-6252-318-0
ISSN
2352-5401
DOI
10.2991/icmmct-17.2017.249How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Xiaoming Liu
PY  - 2017/04
DA  - 2017/04
TI  - Research on Real - time Image Processing Platform Based on Multi - core DSP
BT  - Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)
PB  - Atlantis Press
SP  - 1279
EP  - 1284
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-17.2017.249
DO  - 10.2991/icmmct-17.2017.249
ID  - Liu2017/04
ER  -