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We use a contrario methods to identify spatial redundancy in natural images. Several patch similarity functions are investigated and compared (noise robustness, innovation). We focus on textured images and set the a contrario model to be an Asymptotic Discrete Spot Noise, ADSN, or more generally a Gaussian field. Theoretical properties are derived for such models and experimental results are provided. This is a joint work with Agnès Desolneux, Bruno Galerne and Arthur Leclaire.
This is poster number 62 in Poster Session