Abstract

The bispectrum of a signal or an image has useful properties, such as being zero for a Gaussian random process, retaining Fourier transform phase and magnitude information, and being insensitive to linear motion. These properties are used in reconstructing images contaminated by coherent speckle noise when the latter can be modeled as multiplicative noise. We used a logarithmic transformation to convert such speckle noise to a signal-independent, additive process, which is close to Gaussian when an integrating aperture is used. Bispectral reconstruction is then performed with multiple independent snapshots.

© 1992 Optical Society of America

Full Article  |  PDF Article
OSA Recommended Articles
Practical aspects of image recovery by means of the bispectrum

Pedro Negrete-Regagnon
J. Opt. Soc. Am. A 13(7) 1557-1576 (1996)

Image-reconstruction algorithm using Kalman filter weighting of the bispectrum

Dan Newman and Randy C. Van Vrankent
J. Opt. Soc. Am. A 9(10) 1724-1739 (1992)

Shift- and rotation-invariant object reconstruction using the bispectrum

Brian M. Sadler and Georgios B. Giannakis
J. Opt. Soc. Am. A 9(1) 57-69 (1992)

References

You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription

Figures (9)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription

Equations (39)

You do not have subscription access to this journal. Equations are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription

Metrics

You do not have subscription access to this journal. Article level metrics are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription