Statistics – Computation
Scientific paper
May 1994
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1994josaa..11.1589x&link_type=abstract
Journal of the Optical Society of America A, Vol. 11, No. 5, p. 1589 - 1598
Statistics
Computation
Image Reconstruction
Scientific paper
The authors define self-cross correlation as the cross correlation between an image and a truncated part of it. A new method for finding tight object-support bounds by use of the self-cross-correlation information is addressed. These bounds are used in the generalized-projection method to reconstruct photon-limited atmosphere-degraded images. The authors find that the information contained in the average self cross correlation gives the required tight object-support bounds. The advantage of the method over the triple-correlation method lies in the speed of computation.
Ward Rabab K.
Xiaotian Shi
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