Point-wise behavior of the Geman--McClure and the Hebert--Leahy image restoration models
Author(s) -
Juha Tiirola,
Peter Hästö,
Petteri Harjulehto
Publication year - 2015
Publication title -
inverse problems and imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.755
H-Index - 40
eISSN - 1930-8345
pISSN - 1930-8337
DOI - 10.3934/ipi.2015.9.835
Subject(s) - convolution (computer science) , limit (mathematics) , image (mathematics) , function (biology) , computer science , point (geometry) , point spread function , mathematics , convergence (economics) , image restoration , artificial intelligence , mathematical analysis , image processing , artificial neural network , geometry , evolutionary biology , economics , biology , economic growth
We present new continuous variants of the Geman--McClure model and the Hebert--Leahy model for image restoration, where the energy is given by the nonconvex function $x \mapsto x^2/(1+x^2)$ or $x \mapsto \log(1+x^2)$, respectively. In addition to studying these models' $\Gamma$-convergence, we consider their point-wise behaviour when the scale of convolution tends to zero. In both cases the limit is the Mumford-Shah functional.
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