Phase recovery from the bispectrum aided by the error-reduction algorithm
Optics Letters, Vol. 21, Issue 4, pp. 275-277 (1996)
http://dx.doi.org/10.1364/OL.21.000275
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Abstract
An essential step in bispectral imaging is the recovery of the object’s Fourier phase from the bispectral phase. Such reconstruction can be performed by recursive or least-squares (minimization) methods. It is generally accepted that least-squares methods perform better because of their higher noise tolerance. Two weighted least-squares minimization schemes are compared, and the use of the error-reduction algorithm is suggested as a way to overcome the stagnation at local minima common to minimization problems.
© 1996 Optical Society of America
Citation
Pedro Negrete-Regagnon, "Phase recovery from the bispectrum aided by the error-reduction algorithm," Opt. Lett. 21, 275-277 (1996)
http://www.opticsinfobase.org/ol/abstract.cfm?URI=ol-21-4-275
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