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New noise modeling framework enhances SPAD intensity imaging

Researchers have developed a new framework for modeling and calibrating noise in single-photon avalanche diode (SPAD) cameras, which are promising for low-light imaging. The proposed model addresses challenges unique to SPADs in intensity imaging mode, where explicit noise decomposition is difficult due to the absence of photon timestamps. The framework includes a Binomial observation process for binary-frame accumulation, models signal-independent dark noise, and accounts for pixel-wise response non-uniformity. A dedicated calibration procedure and a SPAD-specific dark-shading correction method are also introduced to improve denoising performance. AI

RANK_REASON This is a research paper detailing a new technical framework for noise modeling in a specific type of camera. [lever_c_demoted from research: ic=1 ai=0.4]

Read on arXiv cs.CV →

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New noise modeling framework enhances SPAD intensity imaging

COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Wendi Liu, Yujie Lu, Zengxi Zhang, Haiyang Jiang, Weihang Ran, Yinqiang Zheng ·

    Practical Noise Modeling for SPAD Intensity Imaging

    arXiv:2608.00489v1 Announce Type: new Abstract: Single-photon avalanche diode (SPAD) cameras are promising for low-light and high-dynamic-range intensity imaging, but their practical use is limited by complex sensor-specific noise. Unlike time-correlated single-photon counting (T…