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Single Image Super-Resolution via Image Smoothing

Author

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  • Zhang Liu
  • Qi Huang
  • Jian Li
  • Qi Wang

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.

Suggested Citation

  • Zhang Liu & Qi Huang & Jian Li & Qi Wang, 2014. "Single Image Super-Resolution via Image Smoothing," Mathematical Problems in Engineering, Hindawi, vol. 2014, pages 1-8, December.
    • Handle: RePEc:hin:jnlmpe:974509
    DOI: 10.1155/2014/974509
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