Identification of a random binary phase mask and its fragments with a joint transform correlator

Leonid I. Muravsky; Volodymyr M. Fitio; Mykhajlo V. Shovgenyuk; Petro A. Hlushak

doi:10.1117/12.284788

20 October 1997 Identification of a random binary phase mask and its fragments with a joint transform correlator

Leonid I. Muravsky, Volodymyr M. Fitio, Mykhajlo V. Shovgenyuk, Petro A. Hlushak

Proceedings Volume 3238, Current Ukrainian Research in Optics and Photonics: Optoelectronic and Hybrid Optical/Digital Systems for Image Processing; (1997) https://doi.org/10.1117/12.284788
Event: Optoelectronic and Hybrid Optical/Digital Systems for Image Processing, 1997, none, Ukraine

Abstract

The input image phase encoding method is utilized for identification of random binary phase masks (RBPM) and their separated fragments with a joint transform correlator (JTC). Equations for a joint power spectrum of a reference RBPM and its separated fragment and for a fragment's autocorrelation function produced in a JTC are obtained. Dependences between separated mask's fragment parameters and autocorrelation output signals are determined. Equations for autocorrelation peaks coordinates definition at a JTC output plane are found. Computer simulations of a mask's fragments autocorrelation functions are carried out. Influence of a mask and a fragments dimensions on output autocorrelation and sidelobe peaks is studied on a base of obtained results. Algorithm for realization of a code identification by a JTC with a phase-encoded input is proposed

Citation Download Citation

Leonid I. Muravsky, Volodymyr M. Fitio, Mykhajlo V. Shovgenyuk, and Petro A. Hlushak "Identification of a random binary phase mask and its fragments with a joint transform correlator", Proc. SPIE 3238, Current Ukrainian Research in Optics and Photonics: Optoelectronic and Hybrid Optical/Digital Systems for Image Processing, (20 October 1997); https://doi.org/10.1117/12.284788

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