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, deep learning based methods consistently achieved the best reconstruction quality in terms of spectral error metrics. However...
Main Authors: | Tarek Stiebel, Dorit Merhof |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-10-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/20/20/5789 |
Similar Items
-
Thangka Hyperspectral Image Super-Resolution Based on a Spatial–Spectral Integration Network
by: Sai Wang, et al.
Published: (2023-07-01) -
Spectral Reconstruction from RGB Imagery: A Potential Option for Infinite Spectral Data?
by: Abdelhamid N. Fsian, et al.
Published: (2024-06-01) -
Deep Joint Demosaicking and Super-Resolution for Spectral Filter Array Images
by: Abdelhamid N. Fsian, et al.
Published: (2025-01-01) -
Spatial-spectral dual path hyperspectral image super-resolution reconstruction network based on spectral response functions
by: Yinghao Xu, et al.
Published: (2023-12-01) -
Spectral Super-Resolution for High Dynamic Range Images
by: Yuki Mikamoto, et al.
Published: (2023-04-01)