Measurement-Adapted Eigentask Representations for Photon-Limited Optical Readout
Optical readout in low-light imaging is fundamentally limited by measurement noise, including photon shot noise, detector noise, and quantization error. In this regime, downstream inference depends not only on the optical front end, but also on how noisy high-dimensional sensor measurements are represented before classification or decision-making. Here we show that eigentasks provide a measurement-adapted representation for optical sensor outputs by ordering readout features according to their resolvability under noise. Using experimental data from a lens-based optical imaging system and a reanalysis of published data from a single-photon-detection neural network, we find that eigentask r...
| Authors | Tianyang Chen, Mandar M. Sohoni, Saeed A. Khan et al. |
|---|---|
| Primary category | physics.optics |
| Published | 11 May 2026 |
| Last updated at source | 11 May 2026 |
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