Proceedings of 3rd International Conference on Multimedia Technology(ICMT-13)

An Example Based Non-local Mean Regularization For Image Super-resolution

Authors
Li Chuanhai, Hu Ruimin, Xia Yang
Corresponding Author
Li Chuanhai
Available Online November 2013.
DOI
https://doi.org/10.2991/icmt-13.2013.74How to use a DOI?
Keywords
Image super-resolution, nonlocal mean regularization..
Abstract
Image super-resolution (SR) is a very useful technique for visual surveillance, high-definition TV and medical image processing. In the traditional method, the inferred high-resolution image patch is represented as a linear combination of dictionaries obtained by training images, and least square estimation or sparse regularization is used to find better solution. However, the methods proposed so far neglect the prior knowledge about local structure similarity in natural images. In this paper we introduce an adaptive regularization terms into LLE based SR framework. First, an example based image nonlocal mean regularization term is learned from the dataset of example image patches, which captures the local structure similarity between the input image and training images. Then, the image nonlocal self-similarity is used as another regularization term. In addition, we propose an iterative optimization framework to find the latent HR image. Ex-perimental results on real surveillance images demonstrate the superiority of the proposed method over some state-of-the-art image SR approaches.
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Proceedings
3rd International Conference on Multimedia Technology(ICMT-13)
Part of series
Advances in Intelligent Systems Research
Publication Date
November 2013
ISBN
978-90-78677-89-5
ISSN
1951-6851
DOI
https://doi.org/10.2991/icmt-13.2013.74How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Li Chuanhai
AU  - Hu Ruimin
AU  - Xia Yang
PY  - 2013/11
DA  - 2013/11
TI  - An Example Based Non-local Mean Regularization For Image Super-resolution
BT  - 3rd International Conference on Multimedia Technology(ICMT-13)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/icmt-13.2013.74
DO  - https://doi.org/10.2991/icmt-13.2013.74
ID  - Chuanhai2013/11
ER  -