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A new article is available in IPOL:
<a class="moz-txt-link-freetext" href="http://www.ipol.im/pub/art/2013/77/">http://www.ipol.im/pub/art/2013/77/</a><br>
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Recovering the Subpixel PSF from Two Photographs at Different
Distances<br>
by
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Mauricio Delbracio, Andrés Almansa, Pablo Musé<br>
Image Processing On Line, vol. 2013, pp. 232–241.<br>
<a class="moz-txt-link-freetext" href="http://www.ipol.im/pub/art/2013/77/">http://www.ipol.im/pub/art/2013/77/</a><br>
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Abstract<br>
In most typical digital cameras, even high-end digital single lens
reflex ones (DSLR), the acquired images are sampled at rates below
the Nyquist critical rate, causing aliasing effects. In this work we
describe a new algorithm for the estimation of the point spread
function (PSF) of a digital camera from aliased photographs, that
achieves subpixel accuracy. The procedure is based on taking two
parallel photographs of the same scene, from different distances
leading to different geometric zooms, and then estimating the kernel
blur between them.<br>
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