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>  
 
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