Proceedings of the 2017 2nd International Conference on Automation, Mechanical and Electrical Engineering (AMEE 2017)

Image Preprocessing Technology of Screen Coding Based on Compression Perception

Authors
Yanpeng Sun, Juan Wang
Corresponding Author
Yanpeng Sun
Available Online September 2017.
DOI
https://doi.org/10.2991/amee-17.2017.47How to use a DOI?
Keywords
screen coding; compression perception; combinatorial filtering; morphology; tilt correction
Abstract

In this paper, a new preprocessing method is proposed to solve the problem that the image of the print screen coding image is not ideal because the information bit is small, the symbol is not clear and the noise is serious. This paper focuses on the algorithm of image filtering based on compression sensing and morphology and image skew correction based on Gabor wavelet. Compared with the traditional filtering, the combined filtering algorithm can reduce the noise while enhancing the protection of image feature information. The improved hough transform algorithm is also more suitable for coding image processing to achieve more accurate tilt correction. The experiment proves the superiority of the proposed algorithm.

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 2nd International Conference on Automation, Mechanical and Electrical Engineering (AMEE 2017)
Series
Advances in Engineering Research
Publication Date
September 2017
ISBN
978-94-6252-393-7
ISSN
2352-5401
DOI
https://doi.org/10.2991/amee-17.2017.47How 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  - Yanpeng Sun
AU  - Juan Wang
PY  - 2017/09
DA  - 2017/09
TI  - Image Preprocessing Technology of Screen Coding Based on Compression Perception
BT  - Proceedings of the 2017 2nd International Conference on Automation, Mechanical and Electrical Engineering (AMEE 2017)
PB  - Atlantis Press
SP  - 228
EP  - 232
SN  - 2352-5401
UR  - https://doi.org/10.2991/amee-17.2017.47
DO  - https://doi.org/10.2991/amee-17.2017.47
ID  - Sun2017/09
ER  -