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Spatial gradient consistency for unsupervised learning of hyperspectral
  demosaicking: Application to surgical imaging

Spatial gradient consistency for unsupervised learning of hyperspectral demosaicking: Application to surgical imaging

21 February 2023
Peichao Li
Muhammad Asad
C. Horgan
O. MacCormac
J. Shapey
Tom Kamiel Magda Vercauteren
ArXivPDFHTML

Papers citing "Spatial gradient consistency for unsupervised learning of hyperspectral demosaicking: Application to surgical imaging"

3 / 3 papers shown
Title
A self-supervised and adversarial approach to hyperspectral demosaicking
  and RGB reconstruction in surgical imaging
A self-supervised and adversarial approach to hyperspectral demosaicking and RGB reconstruction in surgical imaging
Peichao Li
O. MacCormac
J. Shapey
Tom Kamiel Magda Vercauteren
31
0
0
27 Jul 2024
Unsupervised Spectral Demosaicing with Lightweight Spectral Attention
  Networks
Unsupervised Spectral Demosaicing with Lightweight Spectral Attention Networks
Kai Feng
Yongqiang Zhao
Seong G. Kong
Haijin Zeng
31
12
0
05 Jul 2023
Hyperspectral Image Segmentation: A Preliminary Study on the Oral and
  Dental Spectral Image Database (ODSI-DB)
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
1