Spectrum from Defocus: Fast Spectral Imaging with Chromatic Focal Stack
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Abstract (arXiv)
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.
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References · 20
- 2016Plug-and-Play ADMM for Image Restoration: Fixed Point Convergence and Applicationscited by 244
- 2021Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image Reconstructioncited by 110
- 2018Rank Minimization for Snapshot Compressive Imagingcited by 99
- 2020Plug-and-Play Algorithms for Large-scale Snapshot Compressive Imagingcited by 78
- 2022Coarse-to-Fine Sparse Transformer for Hyperspectral Image Reconstructioncited by 67
- 2022HDNet: High-resolution Dual-domain Learning for Spectral Compressive Imagingcited by 66
- 2021Burst Image Restoration and Enhancementcited by 64
- 2020GAP-net for Snapshot Compressive Imagingcited by 54
- 2022Dancing under the stars: video denoising in starlightcited by 47
- 2020Single-shot Hyperspectral-Depth Imaging with Learned Diffractive Opticscited by 39
- 2020Spectral DiffuserCam: lensless snapshot hyperspectral imaging with a spectral filter arraycited by 24
- 2023Hybrid Spectral Denoising Transformer with Guided Attentioncited by 16
8 more
- 2015Spectral-Spatial Classification of Hyperspectral Image Using Autoencoderscited by 9
- 2018KRISM --- Krylov Subspace-based Optical Computing of Hyperspectral Imagescited by 6
- 2023Computational Spectral Imaging: A Contemporary Overviewcited by 5
- 2024Limitations of Data-Driven Spectral Reconstruction -- An Optics-Aware Analysiscited by 5
- 2025Dark Noise Diffusion: Noise Synthesis for Low-Light Image Denoisingcited by 4
- 2019Compressive Spectral Imaging with Diffractive Lensescited by 3
- 2018Multispectral Focal Stack Acquisition Using A Chromatic Aberration Enlarged Cameracited by 1
- 2024HyperColorization: Propagating spatially sparse noisy spectral clues for reconstructing hyperspectral imagescited by 1
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