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Conferences > CLEO > 2005 > CFP > CFP5
  • Conference on Lasers and Electro-Optics/Quantum Electronics and Laser Science and Photonic Applications Systems Technologies
  • Technical Digest (CD) (Optica Publishing Group, 2005),
  • paper CFP5

Maximum-likelihood Surface Reconstruction with Viterbi Algorithm for Volume Holographic Profilometry

Wenyang Sun, George Barbastathis, and Mark A. Neifeld

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Abstract

We use maximum-likelihood (ML) estimation to clean up the depth-variant image blur in volume holographic profilometry and to reconstruct the surface with high accuracy. Viterbi algorithm is used in ML estimation to reduce computational complexity and bit error rate.

© 2005 Optical Society of America

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