Abstract
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.
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© 2004 Springer-Verlag London
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Capel, D. (2004). Super-resolution Using Sub-space Models. In: Image Mosaicing and Super-resolution. Distinguished Dissertations. Springer, London. https://doi.org/10.1007/978-0-85729-384-8_7
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DOI: https://doi.org/10.1007/978-0-85729-384-8_7
Publisher Name: Springer, London
Print ISBN: 978-1-4471-1049-1
Online ISBN: 978-0-85729-384-8
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