| dc.contributor.author |
Santhosh Kumar, G |
|
| dc.contributor.author |
Manna, Elizabeth Philip |
|
| dc.date.accessioned |
2014-07-21T05:16:48Z |
|
| dc.date.available |
2014-07-21T05:16:48Z |
|
| dc.date.issued |
2012 |
|
| dc.identifier.uri |
http://dyuthi.cusat.ac.in/purl/4161 |
|
| dc.description |
2012 International Conference on Advances in Computing and Communications |
en_US |
| dc.description.abstract |
An improved color video super-resolution technique
using kernel regression and fuzzy enhancement is presented in
this paper. A high resolution frame is computed from a set of
low resolution video frames by kernel regression using an
adaptive Gaussian kernel. A fuzzy smoothing filter is proposed
to enhance the regression output. The proposed technique is a
low cost software solution to resolution enhancement of color
video in multimedia applications. The performance of the
proposed technique is evaluated using several color videos and
it is found to be better than other techniques in producing high
quality high resolution color videos |
en_US |
| dc.description.sponsorship |
Cochin University of Science and Technology |
en_US |
| dc.language.iso |
en |
en_US |
| dc.publisher |
IEEE |
en_US |
| dc.subject |
Super-resolution |
en_US |
| dc.subject |
kernel regression |
en_US |
| dc.subject |
fuzzy image enhancement |
en_US |
| dc.title |
An Improved Color Video Super-Resolution Using Kernel Regression and Fuzzy Enhancement |
en_US |
| dc.type |
Article |
en_US |