dc.contributor.author |
Seiichi Gohshil, Member, IEEE, |
|
dc.date.accessioned |
2018-10-03T15:47:27Z |
|
dc.date.available |
2018-10-03T15:47:27Z |
|
dc.date.issued |
2017-11-12 |
|
dc.identifier.uri |
http://103.99.128.10:8080/xmlui/handle/123456789/142 |
|
dc.description.abstract |
Security is one of the most important things in our daily lives and the security business is a big industry.
Security cameras are set in many areas in order to keep us safe. When a crime occurs, we often hear that police
analyze the security camera footage. It takes long time and it is often the case that the footage is not helpful in the
investigation at all. The reason is very simple. Many of the security camera images do not have sufficient resolution.
Currently there are many super resolution (SR) technologies. In detective dramas technicians solve crimes using SR
technologies turning blurry images taken with a security camera into sharp high resolution ones with a click of a button.
However, in real life it is not so easy. In this paper we discuss the current issues and limitations of the SR technologies. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
CSE, CUET |
en_US |
dc.relation.ispartofseries |
874; |
|
dc.subject |
Super Resolution; Motion Blur; Video; Image, Nonlinear Signal Processing; |
en_US |
dc.title |
Limitations when Improving Security Camera Video |
en_US |
dc.title.alternative |
6th International Conference on Informatics, Electronics & Vision (ICIEV) & 7th International Symposium in Computational Medical and Health Technology (ISCMHT) |
en_US |
dc.type |
Article |
en_US |