This paper proposes a regression-based method for single-image super-resolution. Kernel ridge regression (KRR) is used to estimate the high-frequency details of the underlying high-resolution image. A sparse solution of KRR is found by combining the ideas of kernel matching pursuit and gradient descent, which allows time-complexity to be kept to a moderate level. To resolve the problem of ringing artifacts occurring due to the regularization effect, the regression results are post-processed using a prior model of a generic image class. Experimental results demonstrate the effectiveness of the proposed method.
| Author(s): | Kim, KI. and Kwon, Y. |
| Book Title: | DAGM 2008 |
| Journal: | Pattern Recognition: Proceedings of the 30th DAGM Symposium |
| Pages: | 456-463 |
| Year: | 2008 |
| Month: | June |
| Day: | 0 |
| Editors: | Rigoll, G. |
| Publisher: | Springer |
| Bibtex Type: | Conference Paper (inproceedings) |
| Address: | Berlin, Germany |
| DOI: | 10.1007/978-3-540-69321-5_46 |
| Event Name: | 30th Annual Symposium of the German Association for Pattern Recognition |
| Event Place: | München, Germany |
| Digital: | 0 |
| Electronic Archiving: | grant_archive |
| Language: | en |
| Organization: | Max-Planck-Gesellschaft |
| School: | Biologische Kybernetik |
| Links: | |
BibTex
@inproceedings{5091,
title = {Example-Based Learning for Single-Image Super-Resolution},
journal = {Pattern Recognition: Proceedings of the 30th DAGM Symposium},
booktitle = {DAGM 2008},
abstract = {This paper proposes a regression-based method for single-image super-resolution. Kernel ridge regression (KRR) is used to estimate the high-frequency details of the underlying high-resolution image. A sparse solution of KRR is found by combining the ideas of kernel matching pursuit and gradient descent, which allows time-complexity to be kept to a moderate level. To resolve the problem of ringing artifacts occurring due to the regularization effect, the regression results are post-processed using a prior model of a generic image class. Experimental results demonstrate the effectiveness of the proposed method.},
pages = {456-463},
editors = {Rigoll, G. },
publisher = {Springer},
organization = {Max-Planck-Gesellschaft},
school = {Biologische Kybernetik},
address = {Berlin, Germany},
month = jun,
year = {2008},
slug = {5091},
author = {Kim, KI. and Kwon, Y.},
month_numeric = {6}
}