A well-balanced flow equation for noise removal and edge detection
CAZ Barcelos, M Boaventura… - IEEE Transactions on …, 2003 - ieeexplore.ieee.org
CAZ Barcelos, M Boaventura, EC Silva
IEEE Transactions on image processing, 2003•ieeexplore.ieee.orgAn anisotropic nonlinear diffusion equation for image restoration is presented. The model
has two terms: the diffusion term and the forcing term. The balance between these terms is
made in a selective way, in which boundary points and interior points of the objects that
make up the image are treated differently. The optimal smoothing time concept, which allows
for finding the ideal stop time for the evolution of the partial differential equation is also
proposed. Numerical results show the proposed model's high performance.
has two terms: the diffusion term and the forcing term. The balance between these terms is
made in a selective way, in which boundary points and interior points of the objects that
make up the image are treated differently. The optimal smoothing time concept, which allows
for finding the ideal stop time for the evolution of the partial differential equation is also
proposed. Numerical results show the proposed model's high performance.
An anisotropic nonlinear diffusion equation for image restoration is presented. The model has two terms: the diffusion term and the forcing term. The balance between these terms is made in a selective way, in which boundary points and interior points of the objects that make up the image are treated differently. The optimal smoothing time concept, which allows for finding the ideal stop time for the evolution of the partial differential equation is also proposed. Numerical results show the proposed model's high performance.
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