Name
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. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/ICCV.2011.6126301 | Computer Vision |
Keywords | Field | DocType |
aberrations,calibration,deconvolution,image resolution,lenses,optical transfer function,Bayer array,calibration step,corrected image,demosaicing,high grade lenses,image degradations,image formation model,imperfect optics,megapixel resolution,nonstationary correction,nonstationary deconvolution,optical aberrations,sharp photo,space-variant point spread function | Computer vision,Optical transfer function,Computer science,Deconvolution,Demosaicing,Image formation,Lens (optics),Artificial intelligence,Point spread function,Image resolution,Adaptive optics | Conference |
Volume | Issue | ISSN |
2011 | 1 | 1550-5499 |
ISBN | Citations | PageRank |
978-1-4577-1101-5 | 18 | 0.81 |
References | Authors | |
13 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Christian J. Schuler | 1 | 18 | 0.81 |
| Michael Hirsch | 2 | 211 | 9.59 |
| Stefan Harmeling | 3 | 18 | 0.81 |
| Bernhard Schölkopf | 4 | 23120 | 3091.82 |