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Conference Paper

Non-stationary correction of optical aberrations

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Schuler,  C. J.
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Hirsch,  M.
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Harmeling,  S.
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Schölkopf,  B.
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Citation

Schuler, C. J., Hirsch, M., Harmeling, S., & Schölkopf, B. (2011). Non-stationary correction of optical aberrations. In 13th IEEE International Conference on Computer Vision (ICCV 2011) (pp. 659-666).


Cite as: http://hdl.handle.net/11858/00-001M-0000-0010-4C12-E
Abstract
Taking a sharp photo at several megapixel resolution traditionally relies on high grade lenses. In this paper, we present an approach to alleviate image degradations caused by imperfect optics. We rely on a calibration step to encode the optical aberrations in a space-variant point spread function and obtain a corrected image by non-stationary deconvolution. By including the Bayer array in our image formation model, we can perform demosaicing as part of the deconvolution.