Thursday, 22nd of October 2020, 12:00 – 1:00

Inpainting with particle hydrodynamics

Venue: 
online

Lecturer:
Viktor Daropoulos
Researcher at IGS group, University of Innsbruck

Abstract: 

Image inpainting refers to an interpolation technique used to reconstruct a damaged or incomplete image by exploiting available image information. Restoring the missing image data, in a visually plausible manner, is a challenging task since it is an ill-posed inverse problem. The main goal of this work is to perform the image inpainting process using the Smoothed Particle Hydrodynamics (SPH) technique, a meshfree approach, by exploiting a set of sparsely distributed image samples. Spatial and data optimization is performed and various isotropic and anisotropic kernels are assessed both on random and spatially optimized inpainting masks.

 

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