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Image super resolution with adaptive edge enhancement algorithm
Author(s)
Ngernplubpla, Jaturon
Date Issued
February 24, 2014
Type
Conference 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. © 2014 Copyright SPIE.
Citation
Proceedings of SPIE the International Society for Optical Engineering, 9069, 2014