Spectrum from Defocus: Fast Spectral Imaging with Chromatic Focal Stack
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| Main Authors: | , , , , |
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| Format: | Preprint |
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2025
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| _version_ | 1866910019121840128 |
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| author | Aydin, M. Kerem Hung, Yi-Chun Pytlarz, Jaclyn Guo, Qi Alexander, Emma |
| author_facet | Aydin, M. Kerem Hung, Yi-Chun Pytlarz, Jaclyn Guo, Qi Alexander, Emma |
| contents | Hyperspectral cameras face harsh trade-offs between spatial, spectral, and temporal resolution in inherently low-photon conditions. Computational imaging systems break through these trade-offs with compressive sensing, but have required complex optics and/or extensive compute. We present Spectrum from Defocus (SfD), a chromatic focal sweep method that achieves state-of-the-art hyperspectral imaging with only two off-the-shelf lenses, a grayscale sensor, and less than one second of reconstruction time. By capturing a chromatically-aberrated focal stack that preserves nearly all incident light, and reconstructing it with a fast physics-based iterative algorithm, SfD delivers sharp, accurate hyperspectral images. The combination of photon efficiency, optical simplicity, and physical interpretability makes SfD a promising solution for fast, compact, interpretable hyperspectral imaging. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2503_20184 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Spectrum from Defocus: Fast Spectral Imaging with Chromatic Focal Stack Aydin, M. Kerem Hung, Yi-Chun Pytlarz, Jaclyn Guo, Qi Alexander, Emma Computer Vision and Pattern Recognition Image and Video Processing Hyperspectral cameras face harsh trade-offs between spatial, spectral, and temporal resolution in inherently low-photon conditions. Computational imaging systems break through these trade-offs with compressive sensing, but have required complex optics and/or extensive compute. We present Spectrum from Defocus (SfD), a chromatic focal sweep method that achieves state-of-the-art hyperspectral imaging with only two off-the-shelf lenses, a grayscale sensor, and less than one second of reconstruction time. By capturing a chromatically-aberrated focal stack that preserves nearly all incident light, and reconstructing it with a fast physics-based iterative algorithm, SfD delivers sharp, accurate hyperspectral images. The combination of photon efficiency, optical simplicity, and physical interpretability makes SfD a promising solution for fast, compact, interpretable hyperspectral imaging. |
| title | Spectrum from Defocus: Fast Spectral Imaging with Chromatic Focal Stack |
| topic | Computer Vision and Pattern Recognition Image and Video Processing |
| url | https://arxiv.org/abs/2503.20184 |