A survey on computational spectral reconstruction methods from RGB to hyperspectral imaging
Abstract Hyperspectral imaging enables many versatile applications for its competence in capturing abundant spatial and spectral information, which is crucial for identifying substances. However, the devices for acquiring hyperspectral images are typically expensive and very complicated, hindering t...
Main Authors: | Jingang Zhang, Runmu Su, Qiang Fu, Wenqi Ren, Felix Heide, Yunfeng Nie |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2022-07-01
|
Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-022-16223-1 |
Similar Items
-
Tensor-Based Sparse Representation for Hyperspectral Image Reconstruction Using RGB Inputs
by: Yingtao Duan, et al.
Published: (2024-02-01) -
Densely Residual Network with Dual Attention for Hyperspectral Reconstruction from RGB Images
by: Lixia Wang, et al.
Published: (2022-06-01) -
A Rehabilitation of Pixel-Based Spectral Reconstruction from RGB Images
by: Yi-Tun Lin, et al.
Published: (2023-04-01) -
Spatial and Spectral Reconstruction of Breast Lumpectomy Hyperspectral Images
by: Lynn-Jade S. Jong, et al.
Published: (2024-02-01) -
SpectralMAE: Spectral Masked Autoencoder for Hyperspectral Remote Sensing Image Reconstruction
by: Lingxuan Zhu, et al.
Published: (2023-04-01)