Título:
Subpixel point spread function estimation from two photographs at different distances
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Autor:
Almansa, Andrés
Musé, Pablo
Delbracio, Mauricio
Morel, Jean-Michel
Musé, Pablo
Delbracio, Mauricio
Morel, Jean-Michel
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Tipo de documento:
Artículo
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Descriptores:
Procesamiento de Señales
Año de publicación:
2012
Contenido:
Resumen:
In most digital cameras, and even in high-end digital single lens reflex cameras, the acquired images are sampled at rates below the Nyquist critical rate, causing aliasing effects. This work introduces an algorithm for the subpixel estimation of the point spread function (PSF) of a digital camera from aliased photographs. The numerical procedure simply uses two fronto-parallel photographs of any planar textured scene at different distances. The mathematical theory developed herein proves that the camera PSF can be derived from these two images, under reasonable conditions. Mathematical proofs supplemented by experimental evidence show the well-posedness of the problem and the convergence of the proposed algorithm to the camera in-focus PSF. An experimental comparison of the resulting PSF estimates shows that the proposed algorithm reaches the accuracy levels of the best nonblind state-of-the-art methods.
Descripción:
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Editorial:
SIAM
EN:
SIAM Journal on Imaging Sciences, 2012, v. 5, no. 4, pp. 1234–1260
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Citación:
Delbracio, M, Almansa, A, Morel, J, Musé, P. "Subpixel point spread function estimation from two photographs at different distances" SIAM Journal on Imaging Sciences, 2012, v. 5, no. 4, pp. 1234–1260. https://doi.org/10.1137/110848335
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Departamento académico:
Procesamiento de Señales
Grupo de investigación:
Tratamiento de Imágenes
Licencia:
Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)
Colecciones:
| Ficheros | Descripción | Tamaño | Formato | ||
|---|---|---|---|---|---|
| DMAM12.pdf | — | 3.71 MB | Adobe PDF |