Interpolation Models for Image Super-resolution

  title={Interpolation Models for Image Super-resolution},
  author={Andrew Gilman and Donald G. Bailey and Stephen R. Marsland},
  journal={4th IEEE International Symposium on Electronic Design, Test and Applications (delta 2008)},
Image super-resolution involves interpolating a non-uniformly sampled composite image at uniform locations of a high-resolution image. Interpolation methods used in the literature are generally based on arbitrary functions. Optimal (in least squares sense) interpolation kernels can be derived if the ground-truth high-resolution data is known, this is obviously impractical. An observation that the optimal kernels for very different images are similar suggests that a kernel derived on one image… CONTINUE READING
Highly Cited
This paper has 27 citations. REVIEW CITATIONS


Publications citing this paper.

Similar Papers

Loading similar papers…