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Technical Program

IVMSP-L5: Sparseness and Total Variation in Image Restoration

Session Type: Lecture

Time: Thursday, March 18, 10:00 - 12:00

Location: Room C

Session Chair: Prakash Ishwar, Boston University

IVMSP-L5.1: TOTAL-VARIATION REGULARIZATION WITH BOUND CONSTRAINTS

Rick Chartrand; Los Alamos National Laboratory

Brendt Wohlberg; Los Alamos National Laboratory

IVMSP-L5.2: FAST TOTAL VARIATION IMAGE RESTORATION WITH PARAMETER ESTIMATION USING BAYESIAN INFERENCE

Bruno Amizic; Northwestern University

Derin Babacan; Northwestern University

Michael Ng; Hong Kong Baptist University

Rafael Molina; Universidad de Granada

Aggelos Katsaggelos; Northwestern University

IVMSP-L5.3: ITERATED SMOOTHING FOR ACCELERATED GRADIENT CONVEX MINIMIZATION IN SIGNAL PROCESSING

Tobias Lindstrøm Jensen; Aalborg University

Jan Østergaard; Aalborg University

Søren Holdt Jensen; Aalborg University

IVMSP-L5.4: COLOR IMAGE DESATURATION USING SPARSE RECONSTRUCTION

Hassan Mansour; University of British Columbia

Rayan Saab; University of British Columbia

Panos Nasiopoulos; University of British Columbia

Rabab Ward; University of British Columbia

IVMSP-L5.5: A WEIGHTED DISCRIMINATIVE APPROACH FOR IMAGE DENOISING WITH OVERCOMPLETE REPRESENTATIONS

Amir Adler; Technion - Israel Institute of Technology

Yacov Hel-Or; The Interdisciplinary Center

Michael Elad; Technion - Israel Institute of Technology

IVMSP-L5.6: IMAGE RECOVERY USING SPARSE RECONSTRUCTION BASED TEXTURE REFINEMENT

Haricharan Lakshman; Fraunhofer Institute for Telecommunications - Heinrich Hertz Institute

Martin Koeppel; Fraunhofer Institute for Telecommunications - Heinrich Hertz Institute

Patrick Ndjiki-Nya; Fraunhofer Institute for Telecommunications - Heinrich Hertz Institute

Thomas Wiegand; Fraunhofer Institute for Telecommunications and Technical University of Berlin