Proceedings of the 2nd International Forum on Management, Education and Information Technology Application (IFMEITA 2017)

Real-time correction method for image distortion on smart phone

Authors
Lei Chen, Hengda Tian, Xiaoyong Ji
Corresponding Author
Lei Chen
Available Online February 2018.
DOI
10.2991/ifmeita-17.2018.58How to use a DOI?
Keywords
Mobile phone platform, image distortion, correction matrix
Abstract

To correct the trapezoidal distortion of images taken by mobile phone on the smartphone platform, a real-time correction method for image distortion based on correction matrix is proposed. First, the correction matrix data in various cases is calculated and stored in the database based on the control point method. Then, the application downloads the corresponding correction matrices and stores them in the mobile phone when starts for the first time, and invokes them directly to correct the distorted image captured in real time. Experimental results show that this method can quickly corrects the distorted images, and meets the expected functional requirements.

Copyright
© 2018, 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 2nd International Forum on Management, Education and Information Technology Application (IFMEITA 2017)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
February 2018
ISBN
10.2991/ifmeita-17.2018.58
ISSN
2352-5398
DOI
10.2991/ifmeita-17.2018.58How to use a DOI?
Copyright
© 2018, 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  - Lei Chen
AU  - Hengda Tian
AU  - Xiaoyong Ji
PY  - 2018/02
DA  - 2018/02
TI  - Real-time correction method for image distortion on smart phone
BT  - Proceedings of the 2nd International Forum on Management, Education and Information Technology Application (IFMEITA 2017)
PB  - Atlantis Press
SP  - 345
EP  - 350
SN  - 2352-5398
UR  - https://doi.org/10.2991/ifmeita-17.2018.58
DO  - 10.2991/ifmeita-17.2018.58
ID  - Chen2018/02
ER  -