UC Santa Cruz
- Author(s): Paxman, RG
- Carrara, DA
- Walker, PD
- Davidenko, N
- et al.
Published Web Locationhttps://doi.org/10.1364/JOSAA.31.001636
Silhouettes arise in a variety of imaging scenarios. Pristine silhouettes are often degraded via blurring, detector sampling, and detector noise. We present a maximum a posteriori estimator for the restoration of parameterized facial silhouettes. Extreme dealiasing and dramatic superresolution, well beyond the diffraction limit, are demonstrated through the use of strong prior knowledge. © 2014 Optical Society of America.
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