Deterministic estimation of the bispectrum and its application to image restoration

Moon Gi Kang, Aggelos K. Katsaggelos

Research output: Contribution to journalConference articlepeer-review


While the bispectrum has desirable properties in itself and therefore has a lot of potential to be applied to image restoration, few real-world application results have appeared in the literature. The major problem with this is the difficulty in realizing the expectation operator, due to the lack of realizations. In this paper, the true bispectrum is defined as the expectation of the sample bispectrum, which is the Fourier representation of the triple correlation given one realization. The characteristics of sample bispectrum are analyzed and a way to obtain an estimate of the true bispectrum without stochastic expectation, using the generalized theory of weighted regularization is shown.

Original languageEnglish
JournalEuropean Signal Processing Conference
Publication statusPublished - 2015
Event8th European Signal Processing Conference, EUSIPCO 1996 - Trieste, Italy
Duration: 1996 Sept 101996 Sept 13

Bibliographical note

Publisher Copyright:
© 2015 European Signal Processing Conference, EUSIPCO. All rights reserved.

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Electrical and Electronic Engineering


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