We use maximum-likelihood (ML) estimation to clean up image blur in volume holographic profilometry and reconstruct the surface with high accuracy. Viterbi algorithm is used to reduce computational complexity and bit error rate.
© 2005 Optical Society of America
(090.0090) Holography : Holography
(090.2890) Holography : Holographic optical elements
(120.0120) Instrumentation, measurement, and metrology : Instrumentation, measurement, and metrology
(120.2830) Instrumentation, measurement, and metrology : Height measurements
W. Sun, G. Barbastathis, and M. A. Neifeld, "Maximum-Likelihood Surface Reconstruction with Viterbi Algorithm for Volume Holographic Profilometry," in Conference on Lasers and Electro-Optics/Quantum Electronics and Laser Science and Photonic Applications Systems Technologies, Technical Digest (CD) (Optical Society of America, 2005), paper CFP5.
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