1.0Microsoft Researchhttps://www.microsoft.com/en-us/researchChristopher Bishophttps://www.microsoft.com/en-us/research/people/cmbishop/Bayesian Image Super-resolution - Microsoft Researchrich600338<blockquote class="wp-embedded-content" data-secret="9FpY0H5gH3"><a href="https://www.microsoft.com/en-us/research/publication/bayesian-image-super-resolution/">Bayesian Image Super-resolution</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://www.microsoft.com/en-us/research/publication/bayesian-image-super-resolution/embed/#?secret=9FpY0H5gH3" width="600" height="338" title="“Bayesian Image Super-resolution” — Microsoft Research" data-secret="9FpY0H5gH3" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script type="text/javascript">
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The extraction of a single high-quality image from a set of low-resolution images is an important problem which arises in fields such as remote sensing, surveillance, medical imaging and the extraction of still images from video. Typical approaches are based on the use of cross-correlation to register the images followed by the inversion of the […]