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Efficient numerical Methods For Variational inpainting models

Presented by: 
Sung Ha Kang Georgia Institute of Technology
Date: 
Wednesday 6th September 2017 - 12:00 to 12:50
Venue: 
INI Seminar Room 1
Abstract: 
Co-authors: Maryam Yashtini (Georgia Institute of Technology), Wei Zhu (The University of Alabama)

Recent developments of fast algorithms, based on operator splitting, augmented Lagrangian, and alternating minimization, enabled us to revisit some of the variational image inpainting models. In this talk, we will present some fast algorithms for Euler's Elastica image inpainting model, and variational edge-weighted image colorization model based on chromaticity and brightness models. Main ideas of the models and algorithms, some analysis and numerical results will be presented. 
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University of Cambridge Research Councils UK
    Clay Mathematics Institute London Mathematical Society NM Rothschild and Sons