Instrument-limited pixel-level SNR bounds from optical throughput
Jan Sova, Marie Kola\v{r}\'ikov\'a

TL;DR
This paper introduces a pixel-level optical throughput factor to explicitly relate scene radiance, photon budget, and SNR in imaging systems, providing fundamental bounds on image quality based on optical geometry.
Contribution
It defines a per-pixel optogeometric throughput factor that links scene radiance to photon counts and SNR, enabling precise, system-level SNR bounds at the pixel scale.
Findings
Photon count scales linearly with pixel throughput
SNR is limited by shot noise proportional to the square root of photon count
Additional noise sources reduce SNR below shot-noise limits
Abstract
The radiometric integral is the fundamental radiance--to--flux relation in imaging, whereas \'etendue is typically used as a compact system-level descriptor. For quantitative imaging and calibration, however, the operative mapping must be explicit at the level of individual detector pixels, including pixel acceptance and field-dependent pupil visibility. This work packages the pixel-restricted radiometric integral into a reusable geometric throughput factor by defining a per-pixel optogeometric (optical-throughput) factor (units \si{m^2.sr}) such that, under weak radiance variation, . Making throughput explicit at the pixel scale yields an optics-delivered photon budget in which the incident photon count at the detector, (before quantum efficiency), scales linearly with geometry:…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
