Deep learning meets PDEs: an effective framework for image restoration

Description:  Image restoration is one of the major concerns in image processing with many interesting applications. Partial differential equation (PDE) based models, namely of nonlinear diffusion type, are well-known and widely used for image noise removal. In this seminar we will describe a flexible learning framework based on the concept of optimized nonlinear reaction diffusion models for various image restoration problems. Date:  2019-10-09 Start Time:   11:00 Speaker:  Sílvia Barbeiro (CMUC, Univ. Coimbra) Institution:  CMUC, Department of Mathematics, University of Coimbra Place:  Sala 004, UP Math. Dept. See more:   <Main>   <UC|UP MATH PhD Program>