Recovering the Subpixel PSF from Two Photographs at Different Distances
Mauricio Delbracio, Andrés Almansa, Pablo Musé
→ BibTeX
@article{ipol.2013.77,
    title   = {{Recovering the Subpixel PSF from Two Photographs at Different Distances}},
    author  = {Delbracio, Mauricio and Almansa, Andrés and Musé, Pablo},
    journal = {{Image Processing On Line}},
    volume  = {3},
    pages   = {242--251},
    year    = {2013},
    doi     = {10.5201/ipol.2013.77},
}
% if your bibliography style doesn't support doi fields:
    note    = {\url{https://doi.org/10.5201/ipol.2013.77}}
published
2013-10-23
reference
Mauricio Delbracio, Andrés Almansa, and Pablo Musé, Recovering the Subpixel PSF from Two Photographs at Different Distances, Image Processing On Line, 3 (2013), pp. 242–251. https://doi.org/10.5201/ipol.2013.77

Communicated by Pascal Monasse

This IPOL article is related to a companion publication in the SIAM Journal on Imaging Sciences:
M. Delbracio, A. Almansa, J.M. Morel, and P. Musé. "Subpixel Point Spread Function Estimation from Two Photographs at Different Distances." SIAM Journal on Imaging Sciences 5(4):1234–1260, 2012. http://dx.doi.org/10.1137/110848335


Abstract

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.

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