Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2109.01403
Cited By
Deep Learning Approach for Hyperspectral Image Demosaicking, Spectral Correction and High-resolution RGB Reconstruction
3 September 2021
Peichao Li
Michael Ebner
P. Noonan
C. Horgan
Anisha Bahl
Sebastien Ourselin
J. Shapey
Tom Kamiel Magda Vercauteren
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Deep Learning Approach for Hyperspectral Image Demosaicking, Spectral Correction and High-resolution RGB Reconstruction"
3 / 3 papers shown
Title
Hyperspectral Image Segmentation: A Preliminary Study on the Oral and Dental Spectral Image Database (ODSI-DB)
Luis C. García-Peraza-Herrera
C. Horgan
Sebastien Ourselin
Michael Ebner
Tom Kamiel Magda Vercauteren
39
33
0
14 Mar 2023
Spatial gradient consistency for unsupervised learning of hyperspectral demosaicking: Application to surgical imaging
Peichao Li
Muhammad Asad
C. Horgan
O. MacCormac
J. Shapey
Tom Kamiel Magda Vercauteren
23
7
0
21 Feb 2023
NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results
Andreas Lugmayr
Martin Danelljan
Radu Timofte
Namhyuk Ahn
Dongwoon Bai
...
Tongtong Zhao
Yuanbo Zhou
Haijie Zhuo
Ziyao Zong
Xueyi Zou
SupR
94
170
0
05 May 2020
1