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Proceedings Paper

Image super resolution with adaptive edge enhancement algorithm
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Paper Abstract

In this paper, an adaptive edge enhancement algorithm is proposed to reconstruct a super resolution image from a single low resolution one. In order to improve the results of the high resolution reconstruction, edge statistics is learned from the scenes using a statistical analysis of the maximum likelihood estimation to approximate edge boosting weight that helps to significantly enhance edge information in the high frequency area. The edge sketch image will be adaptively combined with the results of wiener filter according to the values of the local variance. The experimental results on several test images show the success in reconstructing the super resolution both quantitatively and perceptually.

Paper Details

Date Published: 10 January 2014
PDF: 5 pages
Proc. SPIE 9069, Fifth International Conference on Graphic and Image Processing (ICGIP 2013), 906905 (10 January 2014); doi: 10.1117/12.2050038
Show Author Affiliations
Jaturon Ngernplubpla, King Mongkut’s Institute of Technology Ladkrabang (Thailand)
Orachat Chitsobhuk, King Mongkut’s Institute of Technology Ladkrabang (Thailand)


Published in SPIE Proceedings Vol. 9069:
Fifth International Conference on Graphic and Image Processing (ICGIP 2013)
Yulin Wang; Xudong Jiang; Ming Yang; David Zhang; Xie Yi, Editor(s)

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