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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2503.14031 |
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| _version_ | 1866912459790483456 |
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| author | Gamboa, Julian Shen, Xi Hamidfar, Tabassom Mitu, Shamima Shahriar, Selim M. |
| author_facet | Gamboa, Julian Shen, Xi Hamidfar, Tabassom Mitu, Shamima Shahriar, Selim M. |
| contents | Opto-electronic joint transform correlators (OJTCs) use a focal plane array (FPA) to detect the joint power spectrum (JPS) of two input images, projecting it onto a spatial light modulator (SLM) to be optically Fourier transformed. The JPS is composed of two self-intensities and two conjugate-products, where only the latter produce the cross-correlation. However, the self-intensity terms are typically much stronger than the conjugate-products, producing a bias that consumes most of the available bit-depth on the FPA and SLM. Here we propose and demonstrate, through simulation and experiment, a debiased OJTC (DOJTC) that electronically pre-processes the JPS to remove the self-intensity terms before sending it to the SLM, thereby enhancing the quality of the cross-correlation result. We show that under some conditions the DOJTC yields a nearly two orders of magnitude improvement in the signal-to-noise ratio compared to an OJTC. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_14031 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Debiased Opto-electronic Joint Transform Correlator for Enhanced Real-Time Pattern Recognition Gamboa, Julian Shen, Xi Hamidfar, Tabassom Mitu, Shamima Shahriar, Selim M. Image and Video Processing Opto-electronic joint transform correlators (OJTCs) use a focal plane array (FPA) to detect the joint power spectrum (JPS) of two input images, projecting it onto a spatial light modulator (SLM) to be optically Fourier transformed. The JPS is composed of two self-intensities and two conjugate-products, where only the latter produce the cross-correlation. However, the self-intensity terms are typically much stronger than the conjugate-products, producing a bias that consumes most of the available bit-depth on the FPA and SLM. Here we propose and demonstrate, through simulation and experiment, a debiased OJTC (DOJTC) that electronically pre-processes the JPS to remove the self-intensity terms before sending it to the SLM, thereby enhancing the quality of the cross-correlation result. We show that under some conditions the DOJTC yields a nearly two orders of magnitude improvement in the signal-to-noise ratio compared to an OJTC. |
| title | Debiased Opto-electronic Joint Transform Correlator for Enhanced Real-Time Pattern Recognition |
| topic | Image and Video Processing |
| url | https://arxiv.org/abs/2503.14031 |