Single Image Super-Resolution via Image Smoothing

Zhang Liu, Huang Qi, Jian Li and Qi Wang

Mathematical Problems in Engineering, 2014, vol. 2014, 1-8

Abstract:

We propose a single image super-resolution method based on a smoothing approach. We consider a low-resolution image as two parts: one is the smooth image generated by the smoothing method and the other is the error image between the low-resolution image and the smoothing image. We get an intermediate high-resolution image via a classical interpolation and then generate a high-resolution smoothing image with sharp edges by the smoothing method. For the error image, a learning-based super-resolution approach, keeping image details well, is employed to obtain a high-resolution error image. The resulting high-resolution image is the sum of the high-resolution smoothing image and the high-resolution error image. Experimental results show the effectiveness of the proposed method.

Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:974509

DOI: 10.1155/2014/974509

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