A geometrical a priori for capturing the regularity of images

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We first briefly recall how to model occlusion and scaling in natural images through the use of a stochastic model, the scaling dead leaves model. Then we give a statistical estimator for its scaling parameters, which are related to the regularity of images. Last we show how this model can be used as an a priori for image denoising, in the framework of wavelet coefficients thresholding.

Original languageEnglish
Title of host publication13th European Signal Processing Conference, EUSIPCO 2005
Pages1612-1615
Number of pages4
Publication statusPublished - 1 Dec 2005
Externally publishedYes
Event13th European Signal Processing Conference, EUSIPCO 2005 - Antalya, Turkey
Duration: 4 Sept 20058 Sept 2005

Publication series

Name13th European Signal Processing Conference, EUSIPCO 2005

Conference

Conference13th European Signal Processing Conference, EUSIPCO 2005
Country/TerritoryTurkey
CityAntalya
Period4/09/058/09/05

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