Proceedings of the 2013 International Conference on Advanced Computer Science and Electronics Information (ICACSEI 2013)

Super-resolution Reconstruction for Facial Images Based on Local Principal Component Analysis

Authors
Jin ping He, Guang da Su, Jian sheng Chen
Corresponding Author
Jin ping He
Available Online August 2013.
DOI
https://doi.org/10.2991/icacsei.2013.62How to use a DOI?
Keywords
Super-resolution reconstruction, Hallucinating faces, Local Principal Component Analysis.
Abstract
In order to improve the ghosting effect appearing the reconstruction results which are obtained through applying Principle Component Analysis (PCA) on the whole images, a novel algorithm which is reconstructed through applying PCA on local image patches is proposed. The new method firstly proposes the image patch model with overlapping areas. Then the input low-resolution patches are projected on the sample patches through PCA. And the weights can be obtained. Furthermore, the corresponding high-resolution patches are linearly combined through these weights to output the fusion patches. Now the best results are 16×12 reconstructions with the magnification of 8×8. Experimentations show that our method can reconstruct ultra-low resolution faces of 8×6 pixels with the magnification of 16×16, and the similarity with the original high-resolution images is higher.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2013 International Conference on Advanced Computer Science and Electronics Information (ICACSEI 2013)
Part of series
Advances in Intelligent Systems Research
Publication Date
August 2013
ISBN
978-90-78677-74-1
ISSN
1951-6851
DOI
https://doi.org/10.2991/icacsei.2013.62How 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  - Jin ping He
AU  - Guang da Su
AU  - Jian sheng Chen
PY  - 2013/08
DA  - 2013/08
TI  - Super-resolution Reconstruction for Facial Images Based on Local Principal Component Analysis
BT  - 2013 International Conference on Advanced Computer Science and Electronics Information (ICACSEI 2013)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/icacsei.2013.62
DO  - https://doi.org/10.2991/icacsei.2013.62
ID  - He2013/08
ER  -