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Cosine-driven non-linear denoising

 
: Thürck, Daniel; Kuijper, Arjan

:

Kamel, M.:
Image analysis and recognition. 10th international conference, ICIAR 2013 : Póvoa do Varzim, Portugal, June 26-28, 2013; proceedings
Berlin: Springer, 2013 (Lecture Notes in Computer Science 7950)
ISBN: 3-642-39093-5
ISBN: 978-3-642-39093-7 (Print)
ISBN: 978-3-642-39094-4 (Online)
pp.245-254
International Conference on Image Analysis and Recognition (ICIAR) <10, 2013, Póvoa do Varzim/Portugal>
English
Conference Paper
Fraunhofer IGD ()
digital image processing; image processing; partial differential equations; image enhancement; image restoration

Abstract
The Perona-Malik model is an effective but ill-posed model for denoising digital images by anisotropic diffusion. Instead of complex regularizations, we propose a new continuous model which is well-posed and show that it is nevertheless effective for denoising. In addition, an extension of our model offers the possibility of inducing a convergence for the discretization. A comparison to the original Perona-Malik model is carried out using an human vision-centered quality index which shows the improvements of our model when it comes to denoising.

: http://publica.fraunhofer.de/documents/N-264190.html