Thu AM1.L4.6
ReDIP: Rethinking Deep Image Prior for Compressive Spectral Imaging Calibration
Emmanuel Martinez, Jorge Bacca, Tatiana Gelvez, Henry Arguello, Universidad Industrial de Santander, Colombia
Session:
Thu AM1.L4: Computational imaging Lecture
Track:
VIP - Visual Information Processing
Location:
Nautica
Presentation Time:
Thu, 7 Sep, 12:10 - 12:30 Finland Time (UTC +3)
Session Chair:
Laura Galvis, Universidad Industrial de Santander
Presentation
Discussion
Resources
No resources available.
Session Thu AM1.L4
Thu AM1.L4.1: GIPS: GEOMETRY-INSPIRED PASSIVE TOF SENSING FOR 3D DEPTH RECONSTRUCTION
Faisal Ahmed, Miguel Heredia Conde, University of Siegen, Germany; Paula López Martínez, University of Santiago de Compostela, Spain
Thu AM1.L4.2: DEEP LEARNING-BASED RECONSTRUCTION FOR NEAR-FIELD MIMO RADAR IMAGING
Irfan Manisali, Figen S. Oktem, Middle East Technical University (METU), Turkey
Thu AM1.L4.3: A BACKGROUND CORRECTION ALGORITHM FOR HYPERSPECTRAL IMAGES
Said Sadeg, Jean Cauzid, Cecile Fabre, Université de Lorraine, CNRS, GeoRessources, France; Yingying Song, Chengdu University of Technology, China; David Brie, El-Hadi Djermoune, Université de Lorraine, CNRS, CRAN, France
Thu AM1.L4.4: Motion Deblurring of RAW Mosaic Image using Coded Exposure Photography
Jaelin Lee, Byeungwoo Jeon, Sungkyunkwan University, Korea (South)
Thu AM1.L4.5: PLUG-AND-PLAY RECONSTRUCTION WITH 3D DEEP PRIOR FOR COMPLEX-VALUED NEAR-FIELD MIMO IMAGING
Okyanus Oral, Figen S. Oktem, Middle East Technical University (METU), Turkey
Thu AM1.L4.6: ReDIP: Rethinking Deep Image Prior for Compressive Spectral Imaging Calibration
Emmanuel Martinez, Jorge Bacca, Tatiana Gelvez, Henry Arguello, Universidad Industrial de Santander, Colombia