A Knife-edge Input Point Spread Function Estimation Method for Document Images

DOI

10.2991/icsste-16.2016.114How to use a DOI?

Keywords

Point Spread Function; document image; Knife-edge Input

Abstract

In this paper the progress of document image Point Spread Function (PSF) estimation will be presented. At the beginning of the paper, an overview of PSF estimation methods will be introduced and the reason why knife-edge input PSF estimation method is chosen will be explained. Then in the next section, the knife-edge input PSF estimation method will be detailed. After that, a simulation experiment is performed in order to verify the implemented PSF estimation method. Based on the simulation experiment, in next section we propose a procedure that makes automatic PSF estimation possible. A real document image is firstly taken as an example to illustrate the procedure and then be restored with the estimated PSF and Lucy-Richardson deconvolution method, and its OCR accuracy before and after deconvolution will be compared. Finally, we conclude the paper with the outlook for the future work.

Copyright

© 2016, 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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TY  - CONF
AU  - Jianqiang Zhong
PY  - 2016/05
DA  - 2016/05
TI  - A Knife-edge Input Point Spread Function Estimation Method for Document Images
BT  - Proceedings of the 2016 2nd International Conference on Social Science and Technology Education (ICSSTE 2016)
PB  - Atlantis Press
SP  - 618
EP  - 622
SN  - 2352-5398
UR  - https://doi.org/10.2991/icsste-16.2016.114
DO  - 10.2991/icsste-16.2016.114
ID  - Zhong2016/05
ER  -