Optical implementation of a regularized Gerchberg iterative algorithm  for super-resolution

Eric Noel; Romel R. Khan; Harbans S. Dhadwal

doi:10.1117/12.148125

1 November 1993 Optical implementation of a regularized Gerchberg iterative algorithm for super-resolution

Eric Noel, Romel R. Khan, Harbans S. Dhadwal

Author Affiliations +

Optical Engineering, Vol. 32, Issue 11, (November 1993). https://doi.org/10.1117/12.148125

Abstract

A regularized coherent optical processor, exhibiting considerable immunity to phase noise, is designed and used to achieve resolution beyond the diffraction limit. Regularization is achieved by means of a piezoelectric displacement of one of the feedback mirrors. The optical processor is used for real-time object restoration from noisy, diffraction-limited images. A software implementation of the regularized algorithm, for the case of a two-slit object, shows good agreement with the results obtained from the optical processor.

Citation Download Citation

Eric Noel, Romel R. Khan, and Harbans S. Dhadwal "Optical implementation of a regularized Gerchberg iterative algorithm for super-resolution," Optical Engineering 32(11), (1 November 1993). https://doi.org/10.1117/12.148125

Published: 1 November 1993

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