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Mathematical Analysis of a Inf-Convolution Model for Image Processing

Abstract : We deal with a second order image decomposition model to perform denoising and texture extraction that was previously presented. We look for the decomposition of an image as the summation of three different order terms. For highly textured images the model gives a two-scale texture decomposition: the first order term can be viewed as a macro-texture (larger scale) which oscillations are not too large and the zero-order term is the micro-texture (very oscillating) that contains the noise. Here, we perform mathematical analysis of the model and give qualitative properties of solutions using the dual problem and inf-convolution formulation.
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Contributor : Maïtine Bergounioux <>
Submitted on : Friday, April 3, 2015 - 10:14:12 AM
Last modification on : Thursday, May 3, 2018 - 3:32:06 PM
Long-term archiving on: : Tuesday, April 18, 2017 - 9:45:31 AM


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  • HAL Id : hal-01002958, version 3



Maïtine Bergounioux. Mathematical Analysis of a Inf-Convolution Model for Image Processing. Journal of Optimization Theory and Applications, Springer Verlag, 2015, 20 p. ⟨hal-01002958v3⟩



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