Computational Imaging from Structured Noise

Ayush Bhandari

doi:10.1117/12.2585840

5 March 2021 Computational Imaging from Structured Noise

Ayush Bhandari

Proceedings Volume 11703, AI and Optical Data Sciences II; 1170312 (2021) https://doi.org/10.1117/12.2585840
Event: SPIE OPTO, 2021, Online Only

Abstract

Almost all modern day imaging systems rely on digital capture of information. To this end, hardware and consumer technologies strive for high resolution quantization based acquisition. Antithetical to folk wisdom, we show that sampling quantization noise results in unconventional advantages in computational sensing and imaging. In particular, this leads to a novel, single-shot, high-dynamic-range imaging approach. Application areas include consumer and scientific imaging, computed tomography, sensor array imaging and time-resolved 3D imaging. In each case, we present a mathematically guaranteed recovery algorithm and also demonstrate a first hardware prototype for basic digital acquisition of quantization noise.

Conference Presentation

Citation Download Citation

Ayush Bhandari "Computational Imaging from Structured Noise", Proc. SPIE 11703, AI and Optical Data Sciences II, 1170312 (5 March 2021); https://doi.org/10.1117/12.2585840

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