Non-stationary Correction of Optical Aberrations

Schuler, CJ; Hirsch, M; Harmeling, S; Schölkopf, B

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Non-stationary Correction of Optical Aberrations

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Schuler, CJ
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., Hirsch, M., Harmeling, S., & Schölkopf, B.(2011). Non-stationary Correction of Optical Aberrations (1). Tübingen, Germany: Max Planck Institute for Intelligent Systems.

Cite as: https://hdl.handle.net/11858/00-001M-0000-0013-BBE4-A

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.