Optical Metrology in Production Engineering 2004
DOI: 10.1117/12.545291
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Technique for modeling diffractive multiphase holographic elements

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Cited by 2 publications
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“…This allows avoiding the paraxial limitation and artificial decomposition on near and far zone. Additionally new representation of diffraction integral kernel allows investigating number of LCOS SLM parameters such as cell size, overlap, and influence of discretization of optical signal on reconstructing image [1]. Also the modification of iteration criteria are useful for better convergence of algorithm.…”
Section: Iterative Methods Based On Modified Gerchberg-saxton's Error-mentioning
confidence: 98%
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“…This allows avoiding the paraxial limitation and artificial decomposition on near and far zone. Additionally new representation of diffraction integral kernel allows investigating number of LCOS SLM parameters such as cell size, overlap, and influence of discretization of optical signal on reconstructing image [1]. Also the modification of iteration criteria are useful for better convergence of algorithm.…”
Section: Iterative Methods Based On Modified Gerchberg-saxton's Error-mentioning
confidence: 98%
“…Here in order to improve the standard method (modification of the Gerchberg-Saxton's error-reduction algorithm) for phase or amplitude holograms synthesis (Fig. 2) the gradient iteration method with help of acceleration procedure of multiplicative correction is proposed [1]. In the case of phase hologram we replace the amplitude H i by expression 2C−H i instead constant C. The next improvement is replacing the initial amplitude A 0 by value 2A 0 −A i because of superposition principle for wave equation, where A i is amplitude of restored image by hologram.…”
Section: Iterative Methods Based On Modified Gerchberg-saxton's Error-mentioning
confidence: 99%
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