Example-based single image enhanced up-sampling

Authors:
Paruvelli Sreedevi;Wen-Liang Hwang
Affiliations:
Institute of Information Science, Academia Sinica, Taiwan;Institute of Information Science, Academia Sinica, Taiwan
Venue:
Proceedings of the International Conference on Advances in Computing, Communications and Informatics
Year:
2012

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Abstract

We propose a novel single image super-resolution technique that combines an example-based approach and an unsharp mask image enhancement approach in a three-layer Markov network structure. The single image super-resolution problem is formulated as an optimization problem in the Markov network. We derive the maximum-a-posterior (MAP) solution of the problem by an iterative process in which the MAP is the fixed point solution. To evaluate our algorithm, we compare its results with those of state-of-the-art methods and a commercial product.