An iterative method of reconstructing degraded images is developed
from consideration of a mixed-noise imaging situation. Both photon
noise in the image itself and postdetection Gaussian noise are combined
by use of the standard maximum-likelihood method to produce a
mixed-expectation reconstruction technique that demonstrates good
performance in the presence of both noise sources. The new
algorithm is evaluated through computer simulations.
© 1999 Optical Society of America
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