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Non-stationary Correction of Optical Aberrations

MPS-Authors
/persons/resource/persons84198

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

/persons/resource/persons83969

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

/persons/resource/persons83954

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

/persons/resource/persons84193

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

Fulltext (public)

MPI-IS-TR-001.pdf
(Publisher version), 4MB

Supplementary Material (public)
There is no public supplementary material available
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: http://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.