Superresolution of binary images with a nonlinear interpolative neural network
Applied Optics, Vol. 39, Issue 14, pp. 2291-2299 (2000)
http://dx.doi.org/10.1364/AO.39.002291
Acrobat PDF (1514 KB)
Abstract
Superresolution is the process by which the bandwidth of a diffraction-limited spectrum is extended beyond the optical passband. Many algorithms exist that are capable of superresolution; however, most are iterative methods, which are ill suited for real-time operation. One approach that has been virtually ignored is the neural-network approach. We consider the feedforward architecture known as a multilayer perceptron and present results on simulated binary images blurred by a diffraction-limited, circular-aperture optical transfer function and sampled at the Nyquist rate. To avoid aliasing, the network performs as a nonlinear spatial interpolator while simultaneously extrapolating in the frequency domain.
© 2000 Optical Society of America
[Optical Society of America ]
OCIS Codes
(100.3010) Image processing : Image reconstruction techniques
(100.3020) Image processing : Image reconstruction-restoration
(100.6640) Image processing : Superresolution
(200.4260) Optics in computing : Neural networks
Citation
Carlos A. Dávila and B. R. Hunt, "Superresolution of binary images with a nonlinear interpolative neural network," Appl. Opt. 39, 2291-2299 (2000)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-39-14-2291
You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.
Contact your librarian or system administrator
or
Log in to access OSA Member Subscription
You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.
Contact your librarian or system administrator
or
Log in to access OSA Member Subscription
You do not have subscription access to this journal. Article level metrics are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.
Contact your librarian or system administrator
or
Log in to access OSA Member Subscription
Related Journal Articles 
- Training of a Neural Network for Image Superresolution Based on a Nonlinear Interpolative Vector Quantizer (AO)
- Iterative image reconstruction using prior knowledge (JOSAA)
- Image reconstruction from limited Fourier data (JOSAA)
- Dealiased spectral images from aliased Fizeau Fourier transform spectroscopy measurements (JOSAA)
- Multiframe superresolution of binary images (AO)
Related Conference Papers
« Previous Article | Next Article »
OSA is a member of 