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Published in:
2012 | OriginalPaper | Chapter
Blind Correction of Optical Aberrations
Authors : Christian J. Schuler, Michael Hirsch, Stefan Harmeling, Bernhard Schölkopf
Published in: Computer Vision – ECCV 2012
Publisher: Springer Berlin Heidelberg
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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.