Spectrum from Defocus: Fast Spectral Imaging with Chromatic Focal Stack

• URL: http://arxiv.org/abs/2503.20184v1
• Date: Wed, 26 Mar 2025 03:17:43 GMT
• Title: Spectrum from Defocus: Fast Spectral Imaging with Chromatic Focal Stack
• Authors: M. Kerem Aydin, Yi-Chun Hung, Jaclyn Pytlarz, Qi Guo, Emma Alexander,
• Abstract summary: Hyperspectral cameras face harsh trade-offs between spatial, spectral, and temporal resolution in an inherently low-photon regime.<n>We present Spectrum from Defocus, a chromatic focal sweep method that recovers state-of-the-art hyperspectral images with a small system of off-the-shelf optics and 1 second of compute.
• Score: 3.51545442219172
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: Hyperspectral cameras face harsh trade-offs between spatial, spectral, and temporal resolution in an inherently low-photon regime. Computational imaging systems break through these trade-offs with compressive sensing, but require complex optics and/or extensive compute. We present Spectrum from Defocus (SfD), a chromatic focal sweep method that recovers state-of-the-art hyperspectral images with a small system of off-the-shelf optics and < 1 second of compute. Our camera uses two lenses and a grayscale sensor to preserve nearly all incident light in a chromatically-aberrated focal stack. Our physics-based iterative algorithm efficiently demixes, deconvolves, and denoises the blurry grayscale focal stack into a sharp spectral image. The combination of photon efficiency, optical simplicity, and physical modeling makes SfD a promising solution for fast, compact, interpretable hyperspectral imaging.

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