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- W2110377445 abstract "Gestalt psychologists were able to establish a number of qualitative grouping rules which govern human visual perceptions. It is possible that natural image statistics underlie those grouping rules, specifically multi-local statistics. We define multi-local to mean local measurements made simultaneously at multiple locations. To assess whether multi- local interactions occur in natural images we have used information-theoretic methods, specifically interaction information. For example, we have measured triples of gradient directions, and computed the mutual information between a pair of gradient directions, and how the context of a third gradient direction affects that mutual information. If it increases, then measuring triples of gradient directions is synergetic. We find that triples of gradient directions show synergy for all of the following image classes: natural images, their phase randomized and whitened versions and Gaussian noise images. Further, we find that the mean power spectrum of image ensembles determines the dependencies between gradient directions." @default.
- W2110377445 created "2016-06-24" @default.
- W2110377445 creator A5056135069 @default.
- W2110377445 creator A5059262305 @default.
- W2110377445 date "2006-07-10" @default.
- W2110377445 modified "2023-09-27" @default.
- W2110377445 title "Synergy in the multi-local statistics of gradient directions in images" @default.
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- W2110377445 doi "https://doi.org/10.1109/cvprw.2006.201" @default.
- W2110377445 hasPublicationYear "2006" @default.
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