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.
|Journal||European Signal Processing Conference|
|Publication status||Published - 2015|
|Event||8th European Signal Processing Conference, EUSIPCO 1996 - Trieste, Italy|
Duration: 1996 Sept 10 → 1996 Sept 13
Bibliographical notePublisher Copyright:
© 2015 European Signal Processing Conference, EUSIPCO. All rights reserved.
All Science Journal Classification (ASJC) codes
- Signal Processing
- Electrical and Electronic Engineering