Research map / Image generation / Image restoration
A General Filter-Enhanced Approach to Smartphone Hyperspectral Imaging
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Proposes using the multiple cameras of a modern smartphone, with spectral-response modulation via filters, to improve RGB-to-hyperspectral reconstruction.
Problem
RGB-based hyperspectral reconstruction is limited in accuracy by the low spectral resolution of standard RGB cameras.
Approach
Leverages the multi-camera systems in smartphones and modulates each camera's spectral response with filters so that the combined sensors capture richer spectral information than a single RGB camera.
Closest papers by meaning
- FRN: Fractal-Based Recursive Spectral Reconstruction Network (NeurIPS 2025 · similarity 0.82)
- LESSViT: Robust Hyperspectral Representation Learning under Spectral Configuration Shift (NeurIPS 2026 · similarity 0.82)
- DiffRAW: Leveraging Diffusion Model to Generate DSLR-Comparable Perceptual Quality sRGB from Smartphone RAW Images (AAAI 2024 · similarity 0.82)
- HyperFree: A Channel-adaptive and Tuning-free Foundation Model for Hyperspectral Remote Sensing Imagery (CVPR 2025 · similarity 0.82)
- Hyperspectral Pansharpening via Diffusion Models with Iteratively Zero-Shot Guidance (CVPR 2025 · similarity 0.82)
- Active Hyperspectral Imaging Using an Event Camera (CVPR 2025 · similarity 0.81)
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