Title :
Restoration of speckle-degraded images using bispectra
Author :
Raghuveer, M.R. ; Wear, S. ; Song, J.
Author_Institution :
Dept. of Electr. Eng., Rochester Inst. of Technol., NY, USA
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 :
noise; picture processing; spectral analysis; bispectral reconstruction; coherent speckle noise; independent multiple snapshots; integrating aperture; logarithmic transformation; logarithmically transformed images; multiplicative noise process; signal-independent additive process; speckle degraded image restoration; Additive noise; Apertures; Gaussian noise; Image converters; Image reconstruction; Image restoration; Probability density function; Signal processing; Signal restoration; Speckle;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on
Conference_Location :
Toronto, Ont.
Print_ISBN :
0-7803-0003-3
DOI :
10.1109/ICASSP.1991.150105
