Nonlinear optical time sequential correlations using phase input encoding

Joaquin Oton; Pascuala Garcia-Martinez; Ignacio Moreno; Javier Garcia

doi:10.1117/12.578264

8 December 2004 Nonlinear optical time sequential correlations using phase input encoding

Joaquin Oton, Pascuala Garcia-Martinez, Ignacio Moreno, Javier Garcia

Proceedings Volume 5613, Military Remote Sensing; (2004) https://doi.org/10.1117/12.578264
Event: European Symposium on Optics and Photonics for Defence and Security, 2004, London, United Kingdom

Abstract

The presentation of nonlinear optical correlations using a joint transform correlator operating in phase-only spatial light modulation at input joint transform plane is studied here. Amplitude input nonlinear optical time sequential correlations have better discrimination and noise robustness than conventional linear correlations. These nonlinear correlations are based on decomposing reference and target into binary slices and adding the contribution of all linear correlations between them. Those correlations are implemented using a conventional joint transform correlator. However as the system has poor efficiency and low cross-correlation peak intensity working in amplitude mode, we use a phase-transformed input joint transform correlator in order to increase that efficiency and discrimination. We implement optically the phase morphological correlation and the phase sliced orthogonal nonlinear generalized correlation. We have applied the method to images degraded with high levels of substitutive noise and nonoverlapping background noise. The obtained results show how those nonlinear phase input encoded correlations have high discrimination capability detecting the target in cases where other well-known methods fail.

Citation Download Citation

Joaquin Oton, Pascuala Garcia-Martinez, Ignacio Moreno, and Javier Garcia "Nonlinear optical time sequential correlations using phase input encoding", Proc. SPIE 5613, Military Remote Sensing, (8 December 2004); https://doi.org/10.1117/12.578264

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KEYWORDS

Binary data

Joint transforms

Nonlinear dynamics

Optical correlators

Fourier transforms

Computer programming

Target detection

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