A Video Deblurring Optimization Algorithm Based on Motion Detection

DOI

10.2991/icmt-13.2013.131How to use a DOI?

Keywords

Video image restoration · GPU · Background extraction

Abstract

Although the performance of image acquisition devices has been improved dramatically in recent years, especially in the resolution and clarity, defocusing and motion blur are still big problems. Upgrading the devices with the better hardware is one way to solve the problem, but the costs will usually increase disproportionately comparing with what we get. The appropriate image restoration algorithm could improve the clarity and the recognition rate of images significantly. However, the huge computation of those image restoration algorithms makes them unpractical. A new image restoration algorithm based on video target detection and an accelerating method using the Graphic Processing Units (GPU) parallel computing architecture are proposed, which makes it efficient enough to handle 720p high-definition (HD) video processing in real time and makes sure that only the interested blurred regions get restored and other parts of the image will not be impacted.

Copyright

© 2013, 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  - Zhang Yinan
AU  - He Jing
AU  - Yuan Jie
PY  - 2013/11
DA  - 2013/11
TI  - A Video Deblurring Optimization Algorithm Based on Motion Detection
BT  - Proceedings of 3rd International Conference on Multimedia Technology(ICMT-13)
PB  - Atlantis Press
SP  - 1062
EP  - 1069
SN  - 1951-6851
UR  - https://doi.org/10.2991/icmt-13.2013.131
DO  - 10.2991/icmt-13.2013.131
ID  - Yinan2013/11
ER  -