A Sharpening Algorithm for Dynamic Video Image in Network Education

DOI

10.2991/ssemse-15.2015.411How to use a DOI?

Keywords

video education; pixel group; image sharpness

Abstract

In distance education by network, the dynamic images include a lot of noise and bad data. This paper presents an image sharpness algorithm based on pixel small group enhancement. Firstly it adopts discrete wavelet transform method to filtrate the noise. And secondly the pixel small group principle is used to enhance the image and guarantee the clearance and liability of video images. Experimental results show that the new method improves the image quality and it is more effective than the traditional method.

Copyright

© 2015, 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  - Huixian Li
AU  - Linhan Li
PY  - 2015/11
DA  - 2015/11
TI  - A Sharpening Algorithm for Dynamic Video Image in Network Education
BT  - Proceedings of the 2015 International Conference on Social Science, Education Management and Sports Education
PB  - Atlantis Press
SP  - 1605
EP  - 1608
SN  - 2352-5398
UR  - https://doi.org/10.2991/ssemse-15.2015.411
DO  - 10.2991/ssemse-15.2015.411
ID  - Li2015/11
ER  -