SiG-DML-L2.2
LEARNED SUCCESSIVE CONVEX APPROXIMATION FOR SPARSE SIGNAL RECOVERY
Moritz Hemsing, Lukas Schynol, Marius Pesavento, Technical University Darmstadt, Germany
Session:
SiG-DML-L2: Learning Methods for Inverse Problems and Computational Imaging Lecture
Track:
SiG-DML - Signal and Data Analytics for Machine Learning
Location:
Teatro del Sole
Presentation Time:
Wed, 10 Sep, 15:50 - 16:10 Italy Time (UTC +2)
Session Chair:
Audrey Repetti, Heriot-Watt University
Presentation
Discussion
Resources
No resources available.
Session SiG-DML-L2
SiG-DML-L2.1: I2I-PR: Data-Driven Phase Retrieval Using Image-to-Image Diffusion Models
Mehmet Onurcan Kaya, Figen S. Oktem, Middle East Technical University (METU), Turkey
SiG-DML-L2.2: LEARNED SUCCESSIVE CONVEX APPROXIMATION FOR SPARSE SIGNAL RECOVERY
Moritz Hemsing, Lukas Schynol, Marius Pesavento, Technical University Darmstadt, Germany
SiG-DML-L2.3: Noise2Noise Image Reconstruction of Lifetime Maps in Halide Perovskite Thin Films
Gabriele Scrivanti, Institut Photovoltaïque d'Ile-de-France, France; Luca Calatroni, Machine Learning Genoa Center, France; Stefania Cacovich, Institut Photovoltaïque d'Ile-de-France, France
SiG-DML-L2.4: PATCH-BASED LEARNING OF ADAPTIVE TOTAL VARIATION PARAMETER MAPS FOR BLIND IMAGE DENOISING
Claudio Fantasia, Politecnico di Torino, Italy; Luca Calatroni, Università di Genova, Istituto Italiano di Tecnologia, Italy; Xavier Descombes, Institut national de recherche en informatique et en automatique, Laboratoire d'Informatique, Signaux et Systèmes de Sophia Antipolis, France; Rim Rekik, Universite Grenoble-Alpes, France
SiG-DML-L2.5: UNFOLDED DISCRETE MUMFORD-SHAH FUNCTIONAL FOR JOINT IMAGE DENOISING AND EDGE DETECTION
Hoang Trieu Vy Le, Laboratoire de Physique, France; Marion Foare, Laboratoire de l'Informatique du Parallélisme, France; Audrey Repetti, Heriot-Watt University, United Kingdom; Nelly Pustelnik, Laboratoire de Physique, France