Abstract
The bispectrum of a signal has useful properties such as being zero for a Gaussian random process, retaining both phase and magnitude information of the Fourier transform of a signal, and being insensitive to linear motion. It has found applications in a wide variety of fields. The use of these properties for reducing speckle in coherent imaging systems was investigated. It was found that the bispectrum could be used to restore speckle-degraded images. Coherent speckle noise is modeled as a multiplicative noise process. By using a logarithmic transformation, this speckle noise is converted to a signal independent, additive process which is close to Gaussian when an integrating aperture is used. Bispectral reconstruction of speckle-degraded images is performed on such logarithmically transformed images when we have independent multiple snapshots.
Library of Congress Subject Headings
Image processing; Speckle
Publication Date
3-1-1992
Document Type
Thesis
Department, Program, or Center
Electrical Engineering (KGCOE)
Advisor
Raghuveer, M.
Advisor/Committee Member
Dianat, S.
Advisor/Committee Member
Newman, D.
Recommended Citation
Jin, Song, "Bispectral reconstruction of speckle-degraded images" (1992). Thesis. Rochester Institute of Technology. Accessed from
https://repository.rit.edu/theses/5613
Campus
RIT – Main Campus
Comments
Note: imported from RIT’s Digital Media Library running on DSpace to RIT Scholar Works. Physical copy available through RIT's The Wallace Library at: TA1632.J56 1992