arXiv Open Access 2020

Optics-free imaging of complex, non-sparse QR-codes with Deep Neural Networks

Evan Scullion Soren Nelson Rajesh Menon

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Abstrak

We demonstrate optics-free imaging of complex QR-codes using a bare image sensor and a trained artificial neural network (ANN). The ANN is trained to interpret the raw sensor data for human visualization. The image sensor is placed at a specified gap from the QR code. We studied the robustness of our approach by experimentally testing the output of the ANNs with system perturbations of this gap, and the translational and rotational alignments of the QR code to the image sensor. Our demonstration opens us the possibility of using completely optics-free cameras for application-specific imaging of complex, non-sparse objects.

Topik & Kata Kunci

eess.IV

Penulis (3)

Evan Scullion

Soren Nelson

Rajesh Menon

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Scullion, E., Nelson, S., Menon, R. (2020). Optics-free imaging of complex, non-sparse QR-codes with Deep Neural Networks. https://arxiv.org/abs/2002.11141

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Informasi Jurnal

Tahun Terbit: 2020
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓