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Blind Correction of Optical Aberrations
Christian J. Schuler, Michael Hirsch, Stefan Harmeling, and Bernhard Schölkopf
Max Planck Institute for Intelligent Systems, Tübingen, Germanycschuler@tuebingen.mpg.de
mhirsch@tuebingen.mpg.de
harmeling@tuebingen.mpg.de
bs@tuebingen.mpg.de
http://webdav.is.mpg.de/pixel/blind_lenscorrection/
Abstract. Camera lenses are a critical component of optical imaging systems, and lens imperfections compromise image quality. While traditionally, sophisticated lens design and quality control aim at limiting optical aberrations, recent works [1,2,3] promote the correction of optical flaws by computational means. These approaches rely on elaborate measurement procedures to characterize an optical system, and perform image correction by non-blind deconvolution.
In this paper, we present a method that utilizes physically plausible assumptions to estimate non-stationary lens aberrations blindly, and thus can correct images without knowledge of specifics of camera and lens. The blur estimation features a novel preconditioning step that enables fast deconvolution. We obtain results that are competitive with state-of-the-art non-blind approaches.
LNCS 7574, p. 187 ff.
lncs@springer.com
© Springer-Verlag Berlin Heidelberg 2012