Physically plausible spectral reconstruction
Spectral reconstruction algorithms recover spectra from RGB sensor responses. Recent
methods—with the very best algorithms using deep learning—can already solve this …
methods—with the very best algorithms using deep learning—can already solve this …
Optimal selection of representative samples for efficient digital camera‐based spectra recovery
For digital camera‐based spectra recovery, the spectral reflectance of the object being
imaged always needs to be accurately recovered using training samples from available …
imaged always needs to be accurately recovered using training samples from available …
Multi-filtering MLP for Spectral Super-resolution with Remote Sensing Image Verification
G Li, Y Leng, Z Zhang, G Wan… - IEEE Journal of Selected …, 2024 - ieeexplore.ieee.org
Spectral super-resolution (SSR) has become an attractive approach to reconstructing
hyperspectral images (HSIs) from more available RGB images or multispectral images …
hyperspectral images (HSIs) from more available RGB images or multispectral images …
Brightness invariant deep spectral super-resolution
Spectral reconstruction from RGB or spectral super-resolution (SSR) offers a cheap
alternative to otherwise costly and more complex spectral imaging devices. In recent years …
alternative to otherwise costly and more complex spectral imaging devices. In recent years …