@inproceedings{c4de5ab449664cbf80d7e9a556175b07,
title = "Bispectral-based test for spatial reversibility with application to texture images",
abstract = "Statistical approaches to image-modeling have largely relied upon random models which characterize the 2-D process in terms of its first-and second-order statistics and therefore cannot completely capture phase properties of random fields which are non-Gaussian. This constrains the parameters of non-causal image models to be symmetric and therefore the underlying random field to be spatially reversible. In this paper, higher-than second-order statistics are used to derive and implement a spatial reversibility test to validate this modeling assumption and consequently determine if higher-order statistic would be more appropriate for modeling an image. The performance of this test is analyzed both theoretically and experimentally and then applied to texture images.",
author = "Hall, {Thomas E.} and Giannakis, {Georgios B.}",
year = "1993",
month = dec,
day = "1",
language = "English (US)",
isbn = "0818641207",
series = "Conference Record of the Asilomar Conference on Signals, Systems & Computers",
publisher = "Publ by IEEE",
pages = "456--460",
editor = "Avtar Singh",
booktitle = "Conference Record of the Asilomar Conference on Signals, Systems & Computers",
note = "Proceedings of the 27th Asilomar Conference on Signals, Systems & Computers ; Conference date: 01-11-1993 Through 03-11-1993",
}