Spectral Reconstruction
29 papers with code • 4 benchmarks • 4 datasets
Benchmarks
These leaderboards are used to track progress in Spectral Reconstruction
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Libraries
Use these libraries to find Spectral Reconstruction models and implementations
CAVE
Most implemented papers
Reconstructing spectral functions via automatic differentiation
Exploiting the neural networks' regularization as a non-local smoothness regulator of the spectral function, we represent spectral functions by neural networks and use the propagator's reconstruction error to optimize the network parameters unsupervisedly.
ADJUST: A Dictionary-Based Joint Reconstruction and Unmixing Method for Spectral Tomography
However, these methods inherently suffer from the ill-posedness of the joint reconstruction problem.
Coarse-to-Fine Sparse Transformer for Hyperspectral Image Reconstruction
Many algorithms have been developed to solve the inverse problem of coded aperture snapshot spectral imaging (CASSI), i. e., recovering the 3D hyperspectral images (HSIs) from a 2D compressive measurement.
Real-time Hyperspectral Imaging in Hardware via Trained Metasurface Encoders
Hyperspectral imaging has attracted significant attention to identify spectral signatures for image classification and automated pattern recognition in computer vision.
Degradation-Aware Unfolding Half-Shuffle Transformer for Spectral Compressive Imaging
In coded aperture snapshot spectral compressive imaging (CASSI) systems, hyperspectral image (HSI) reconstruction methods are employed to recover the spatial-spectral signal from a compressed measurement.
Synthetic Hyperspectral Array Video Database with Applications to Cross-Spectral Reconstruction and Hyperspectral Video Coding
fau-lms/hyvid
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Two novel algorithms for two different applications are proposed to prove the diversity of applications that can be addressed by this novel database.
RDFNet: Regional Dynamic FISTA-Net for Spectral Snapshot Compressive Imaging
The regional dynamic block guides the network to adjust the transformation domain for different regions.
Spec-NeRF: Multi-spectral Neural Radiance Fields
We propose Multi-spectral Neural Radiance Fields(Spec-NeRF) for jointly reconstructing a multispectral radiance field and spectral sensitivity functions(SSFs) of the camera from a set of color images filtered by different filters.
