Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Training of a neural network for image superresolution based on a nonlinear interpolative vector quantizer

Not Accessible

Your library or personal account may give you access

Abstract

Superresolution is the process of extending the spectrum of a diffraction-limited image beyond the optical passband. We consider the neural-network approach to accomplish superresolution and present results on simulated gray-scale images degraded by diffraction blur and additive noise. Images are assumed to be sampled at the Nyquist rate, which requires spatial interpolation for avoiding aliasing, in addition to frequency-domain extrapolation. A novel, to our knowledge, use of vector quantization for the generation of training data sets is also presented. This is accomplished by training of a nonlinear vector quantizer, whose codebooks are subsequently used in the supervised training of the neural network with backpropagation.

© 2000 Optical Society of America

Full Article  |  PDF Article
More Like This
Superresolution of binary images with a nonlinear interpolative neural network

Carlos A. Dávila and B. R. Hunt
Appl. Opt. 39(14) 2291-2299 (2000)

Building a hierarchy with neural networks: an example—image vector quantization

L. D. Jackel, R. E. Howard, J. S. Denker, W. Hubbard, and S. A. Solla
Appl. Opt. 26(23) 5081-5084 (1987)

Image restoration with the Viterbi algorithm

Casey Miller, Bobby R. Hunt, Michael W. Marcellin, and Mark A. Neifeld
J. Opt. Soc. Am. A 17(2) 265-275 (2000)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Figures (19)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Equations (15)

You do not have subscription access to this journal. Equations are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All Rights Reserved