Abstract

A spatial filtering technique is proposed to sharpen the correlation peak for a joint transform correlator (JTC) by using the inverse reference power spectrum. Ways of handling the pole problems are discussed under various noise conditions. The minimum mean-square-error method is used to locate the optimum bias value and to estimate threshold level as applied to eradicate the poles. Applications to multitarget recognition and spectral fringe binarization are also studied. Computer-simulated results show that the compensated JTC performs better than the conventional JTC.

© 1993 Optical Society of America

Multitarget detection using spatial synthesis joint transform correlation

Feng Cheng, Francis T. S. Yu, and Don A. Gregory
Appl. Opt. 32(32) 6521-6526 (1993)

Preprocessed multiobject joint transform correlator

M. S. Alam, O. Perez, and M. A. Karim
Appl. Opt. 32(17) 3102-3107 (1993)

Error-diffusion binarization for joint transform correlators

Hanni Inbar, David Mendlovic, and Emanuel Marom
Appl. Opt. 32(5) 707-714 (1993)

Fringe-adjusted joint transform correlation

Mohammad S. Alam and Mohammad A. Karim
Appl. Opt. 32(23) 4344-4350 (1993)

Binary joint transform correlator based on differential processing of the joint transform power spectrum

Sheng Zhong, Jiuxing Jiang, Shutian Liu, and Chunfei Li
Appl. Opt. 36(8) 1776-1780 (1997)