DocumentCode :
2001381
Title :
Photon noise bias in computed bispectra
Author :
Dudgeon, Dan E. ; Beletic, James ; Lane, Mark
Author_Institution :
MIT Lincoln Lab., Lexington, MA, USA
fYear :
1989
fDate :
6-8 Sep 1989
Firstpage :
171
Lastpage :
172
Abstract :
Summary form only given. Recent work in developing techniques for the removal of photon noise (shot noise) from two-dimensional power spectra and bispectra is reported. The general problem of speckle imaging (i.e. imaging through atmospheric turbulence), has been addressed. The general approach is to take a set of very-short-exposure frames (1-10 ms), compute some quantity like the power spectrum or bispectrum for each frame, and average this quantity over all the frames. These averaged quantities can be used to reconstruct the image. However, when the object being imaged is very dim, or the exposure time for a single frame is very short, the computed bispectrum with exhibit a photon noise component due to the Poisson statistical nature of the photon detection process. The photon noise contribution has been derived, taking into account that some pixels are brighter than others when the camera is exposed to uniform illumination
Keywords :
picture processing; random noise; speckle; two-dimensional spectra; 1 to 10 ms; Poisson statistical nature; atmospheric turbulence; computed bispectra; photon detection process; photon noise bias; photon noise component; shot noise-removal; speckle imaging; two-dimensional power spectra; uniform illumination; very-short-exposure frames; Astrophysics; Cameras; Degradation; Detectors; Image reconstruction; Laboratories; Noise level; Object detection; Optical computing; Speckle;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multidimensional Signal Processing Workshop, 1989., Sixth
Conference_Location :
Pacific Grove, CA
Type :
conf
DOI :
10.1109/MDSP.1989.97100
Filename :
97100
Link To Document :
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