DocumentCode :
3095714
Title :
Bispectral analysis of speckled images
Author :
Wear, Steve ; Raghuveer, M.
Author_Institution :
Dept. of Electr. Eng., Rochester Inst. of Technol., NY, USA
fYear :
1990
fDate :
10-12 Oct. 1990
Firstpage :
238
Lastpage :
241
Abstract :
Coherent speckle noise is modeled as a multiplicative noise process. 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 independent multiple snapshots are available.<>
Keywords :
picture processing; speckle; spectral analysis; bispectral analysis; coherent speckle noise; image reconstruction; independent multiple snapshots; logarithmic transformation; multiplicative noise process; signal-independent additive process; speckled images; Additive noise; Apertures; Degradation; Gaussian noise; Image analysis; Image converters; Image reconstruction; Image restoration; Signal processing; Speckle;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Spectrum Estimation and Modeling, 1990., Fifth ASSP Workshop on
Conference_Location :
Rochester, NY, USA
Type :
conf
DOI :
10.1109/SPECT.1990.205528
Filename :
205528
Link To Document :
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