Published In
Proceedings of the 7th ACM International Conference on Multimedia in Asia Mmasia 2025
Document Type
Conference Proceeding
Publication Date
12-6-2025
Subjects
Resource Sharing, Single-photon Cameras, Adaptive Algorithms
Abstract
Emerging single-photon camera (SPC) technologies have unique challenges in data acquisition and processing. Unlike conventional sensors that produce a single 8- to 16-bit brightness value per pixel, SPCs record photon arrivals with many more samples per pixel, using high floating-point precision for each photon collected. This means that they must handle potentially millions of timestamps, especially at higher spatial resolutions and in the presence of ambient light, creating bottlenecks within the pixel circuitry. To address these challenges associated with SPCs, this paper proposes adaptive algorithms designed to efficiently distribute hardware resources among groups of pixels. By selectively subsampling the data entering the sensor, the proposed approach significantly reduces system load and opens new paths toward high-quality HDR imaging using SPCs at high spatial resolutions.
Rights
Copyright (c) 2025 The Authors
This work is licensed under a Creative Commons Attribution 4.0 International License.
DOI
10.1145/3743093.3771063
Persistent Identifier
https://archives.pdx.edu/ds/psu/44413
Citation Details
Jalalpour, Y., & Feng, W. (2025). Adaptive Image Acquisition Algorithms for Resource-Constrained Single-Photon Cameras. Proceedings of the 7th ACM International Conference on Multimedia in Asia, 1–7.