- Author(s): Paxman, Richard G;
- Carrara, David A;
- Walker, Paul D;
- Davidenko, Nicolas
- 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.