Subpixel Point Spread Function Estimation from Two Photographs at Different Distances - Télécom Paris Accéder directement au contenu
Article Dans Une Revue SIAM Journal on Imaging Sciences Année : 2012

Subpixel Point Spread Function Estimation from Two Photographs at Different Distances

Résumé

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 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 non-blind state-of-the-art methods.
Fichier principal
Vignette du fichier
psf_blind_siims_preprint_v3.1.pdf (3.99 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-00624757 , version 1 (19-09-2011)
hal-00624757 , version 2 (22-02-2012)
hal-00624757 , version 3 (16-12-2012)

Identifiants

Citer

Mauricio Delbracio, Andrés Almansa, Jean-Michel Morel, Pablo Musé. Subpixel Point Spread Function Estimation from Two Photographs at Different Distances. SIAM Journal on Imaging Sciences, 2012, 5 (4), pp.1234-1260. ⟨10.1137/110848335⟩. ⟨hal-00624757v3⟩
417 Consultations
1743 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More