Proceedings of the 2017 International Conference on Computational Science and Engineering (ICCSE 2017)

Design and Simulation of Image Preprocessor Based on FPGA

Authors
Qinghui Yuan, Xiujun Nie, Guofang Feng
Corresponding Author
Qinghui Yuan
Available Online July 2017.
DOI
10.2991/iccse-17.2017.9How to use a DOI?
Keywords
FPGA, Image processing, Algorithm
Abstract

With the continuous development of image processing technology, and with the development and application of ASIC, DSP and FPGA devices, image processing has acquired a number of new technology, and FPGA based image processing technology has become the development trend in the field of image processing. This paper gives a brief introduction of the digital image, and gives the FPGA design scheme of the algorithm of median filter, edge sharpening and gray level histogram, and also gives the design principle diagram and simulation results. The experiment results showed that in the image processing system, it is feasible to realize the fast algorithm through the hardware of the software, which can well achieve the established objectives and meet the requirements of real-time.

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 International Conference on Computational Science and Engineering (ICCSE 2017)
Series
Advances in Computer Science Research
Publication Date
July 2017
ISBN
10.2991/iccse-17.2017.9
ISSN
2352-538X
DOI
10.2991/iccse-17.2017.9How 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  - Qinghui Yuan
AU  - Xiujun Nie
AU  - Guofang Feng
PY  - 2017/07
DA  - 2017/07
TI  - Design and Simulation of Image Preprocessor Based on FPGA
BT  - Proceedings of the 2017 International Conference on Computational Science and Engineering (ICCSE 2017)
PB  - Atlantis Press
SP  - 44
EP  - 49
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccse-17.2017.9
DO  - 10.2991/iccse-17.2017.9
ID  - Yuan2017/07
ER  -