Open AccessSuperresolution of Images Using Area Preserving Geometric Evolution Laws
Author(s) -
Caroline Jäger,
Simon Praetorius,
Axel Voigt
Publication year - 2011
Publication title -
isrn computer graphics
Language(s) - English
Resource type - Journals
ISSN - 2090-7869
DOI - 10.5402/2012/846980
Subject(s) - curvature , geometric flow , constraint (computer aided design) , level set (data structures) , scale (ratio) , flow (mathematics) , mathematics , surface (topology) , mean curvature , computer science , computer vision , geometry , artificial intelligence , geography , cartography
PDE-based approaches are used to obtain superresolution of images. Using level set method for area constraint geometric evolution laws allows to remove pixelation in images without removing small-scale features. We compare mean curvature flow, surface diffusion, and Willmore flow for this purpose.
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