Neural network for optimization of binary hologram with printing model

Guo X. Li; Reiner Eschbach; Roger L. Easton Jr.

doi:10.1117/12.206231

12 April 1995 Neural network for optimization of binary hologram with printing model

Guo X. Li, Reiner Eschbach, Roger L. Easton Jr.

Proceedings Volume 2406, Practical Holography IX; (1995) https://doi.org/10.1117/12.206231
Event: IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, 1995, San Jose, CA, United States

Abstract

Hopfield neural nets are used to optimized point-oriented binary computer-generated holograms (CGH). The results are comparable to other iterative methods and may require shorter computation times. In this process, the generation of the CGH by FFT, binarization, and IFFT is viewed as a `black box' with inputs and outputs consisting of 512² arrays containing an object of size 64². The neural-network optimization feeds back the Fourier transform of the reconstruction error to update the neuron states, which correspond to the samples of the continuous hologram. To reduce the error of the reconstruction, the input is allowed to deviate from the original array in different specified ways. For example, a previously reported approach using Projection Onto Constraint Sets varied only the region of the input array outside of the object, while we allow the entire array to be modified, thus providing more freedom in the optimization. The method may be applied either to magnitude- only or phase-only holograms. We also report on a modification of the parallel updating function. Different optimization options are compared. Use of a practical printing model requires optimization under assumed constraints to test the convergence properties of the algorithm.

Citation Download Citation

Guo X. Li, Reiner Eschbach, and Roger L. Easton Jr. "Neural network for optimization of binary hologram with printing model", Proc. SPIE 2406, Practical Holography IX, (12 April 1995); https://doi.org/10.1117/12.206231

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
14 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Holograms

Neural networks

Binary data

3D image reconstruction

Neurons

Printing

Computer generated holography

Show All Keywords

Keywords/Phrases

Search In:

Publication Years