Image super resolution with adaptive edge enhancement algorithm

Jaturon Ngernplubpla; Orachat Chitsobhuk

doi:10.1117/12.2050038

10 January 2014 Image super resolution with adaptive edge enhancement algorithm

Jaturon Ngernplubpla, Orachat Chitsobhuk

Proceedings Volume 9069, Fifth International Conference on Graphic and Image Processing (ICGIP 2013); 906905 (2014) https://doi.org/10.1117/12.2050038
Event: Fifth International Conference on Graphic and Image Processing, 2013, Hong Kong, China

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.

Citation Download Citation

Jaturon Ngernplubpla and Orachat Chitsobhuk "Image super resolution with adaptive edge enhancement algorithm", Proc. SPIE 9069, Fifth International Conference on Graphic and Image Processing (ICGIP 2013), 906905 (10 January 2014); https://doi.org/10.1117/12.2050038

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