Super-resolution Using Sub-space Models

  • David Capel
Part of the Distinguished Dissertations book series (DISTDISS)


In the previous chapter we demonstrated that generic MRF prior models can go a long way towards improving the performance of our super-resolution estimators. However, the generality of these priors is also their weakness, and in computing a superresolution MAP estimate, there is a trade-off to be made between reduced noise and excessive smoothness.


Input Image Face Image Training Image Reconstruction Error Real Image 
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Copyright information

© Springer-Verlag London 2004

Authors and Affiliations

  • David Capel

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