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TA-L4: Image and Video Restoration and Enhancement I

Session Type: Lecture

Time: Tuesday, September 18, 09:50 - 12:50

Location: Pecan

Chair: Dan Schonfeld, University of Illinois at Chicago

TA-L4.1: ROBUST FOCUSED IMAGE ESTIMATION FROM MULTIPLE IMAGES IN VIDEO SEQUENCES

Junlan Yang; University of Illinois at Chicago

Dan Schonfeld; University of Illinois at Chicago

Magdi Mohamed; Motorola Labs

TA-L4.2: POCS-BASED ITERATIVE RECONSTRUCTION ALGORITHM OF MISSING TEXTURES

Takahiro Ogawa; Hokkaido University

Miki Haseyama; Hokkaido University

TA-L4.3: MULTISCALE SPARSE IMAGE REPRESENTATION WITH LEARNED DICTIONARIES

Julien Mairal; University of Minnesota

Guillermo Sapiro; University of Minnesota

Michael Elad; Technion - Israel Institute of Technology

TA-L4.4: IMAGE DENOISING BASED ON ADAPTED DICTIONARY COMPUTATION

Noura Azzabou; Laboratoire MAS/ Ecole Centrale - DxOLabs

Nikos Paragios; Laboratoire MAS/ Ecole Centrale

Frédéric Guichard; DxOLabs

TA-L4.5: OPTIMAL DENOISING IN REDUNDANT BASES

Martin Raphan; New York University

Eero Simoncelli; New York University

TA-L4.6: AN EFFICIENT METHOD FOR COMPRESSED SENSING

Seung-Jean Kim; Stanford University

Kwangmoo Koh; Stanford University

Michael Lustig; Stanford University

Stephen Boyd; Stanford University

TA-L4.7: IMAGE DENOISING WITH NONPARAMETRIC HIDDEN MARKOV TREES

Jyri Kivinen; ICSI, University of California, Berkeley

Erik Sudderth; University of California, Berkeley

Michael Jordan; University of California, Berkeley

TA-L4.8: BLIND IMAGE SEPARATION USING SPARSE REPRESENTATION

Wided Souidène; ENST

Abdeldjalil Aïssa-El-Bey; ENST

Karim Abed-Meraim; ENST

Azeddine Beghdadi; Université Paris 13