Wed PM2.L4.4
Self-Supervised Hyperspectral Inpainting with the Optimisation inspired Deep Neural Network Prior
Shuo Li, School of Engineering, United Kingdom; Mehrdad Yaghoobi, Digital Communications, United Kingdom
Session:
Wed PM2.L4: Inpainting, super resolution and restoration Lecture
Track:
VIP - Visual Information Processing
Location:
Nautica
Presentation Time:
Wed, 6 Sep, 17:10 - 17:30 Finland Time (UTC +3)
Session Chair:
Federica Battisti, Università degli Studi di Padova
Presentation
Discussion
Resources
No resources available.
Session Wed PM2.L4
Wed PM2.L4.1: ATTENTION-INFUSED 3D-SRCNN FOR HYPERSPECTRAL IMAGE SUPER RESOLUTION
Nour Aburaed, University of Strathclyde, United Kingdom; Mohammed Q. Alkhatib, University of Dubai, United Arab Emirates; Stephen Marshall, Jaime Zabalza, University of Strathclyde, United Kingdom; Hussain Al Ahmad, University of Dubai, United Arab Emirates
Wed PM2.L4.2: Spatio-temporal Super-resolution for CS-based ToF 3D Imaging
Alvaro Lopez Paredes, Miguel Heredia Conde, University of Siegen, Germany; Thoriq Ibrahim, Anh Ngoc Pham, Keiichiro Kagawa, Shizuoka University, Japan
Wed PM2.L4.3: SEMI-UNBALANCED REGULARIZED OPTIMAL TRANSPORT FOR IMAGE RESTORATION
Simon Mignon, Bruno Galerne, Université d'Orléans, Institut Denis Poisson, France; Moncef Hidane, INSA Centre Val de Loire, France; Cécile Louchet, Université d'Orléans, Institut Denis Poisson, France; Julien Mille, INSA Centre Val de Loire, France
Wed PM2.L4.4: Self-Supervised Hyperspectral Inpainting with the Optimisation inspired Deep Neural Network Prior
Shuo Li, School of Engineering, United Kingdom; Mehrdad Yaghoobi, Digital Communications, United Kingdom