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Using projective flow and Delauany triangulation to accompish image registration and interpolation, we achieved the following superresolution results.

The following images illustrate the effects of the projective flow and Delaunay triangulation algorithms we used to implement image superresolution. Our testing process was as follows:

  • Take several pictures of the same object with a digital camera (no tripod ->images will need registration).
  • Downsample the images to create low-resolution (LR) copies.
  • Register all LR images with respect to the first LR image.
  • Interpolate to obtain the HR image.

We also tested using LR images from external sources. An example is given below.

  • Original images:
    LR image 1 (Source: 7)
    LR image 2 (Source: 7)
    LR image 3 (Source: 7)
    LR image 4 (Source: 7)
  • HR image result:
    HR image

The MATLAB code used to generate the above HR image is available here .

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Source:  OpenStax, Elec 301 projects fall 2006. OpenStax CNX. Sep 27, 2007 Download for free at http://cnx.org/content/col10462/1.2
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