Abstract
We use the Viterbi decoding algorithm to resolve depth features beyond the nominal resolution limit of a volume holographic profilometry system. The formulation treats the truncated point-spread function as an intersymbol interference and uses surface constraints and transition constraints to reduce the computational complexity. A factor-of-5 improvement in resolution was obtained in our experimental demonstration.
© 2005 Optical Society of America
Full Article | PDF ArticleMore Like This
Casey Miller, Bobby R. Hunt, Michael W. Marcellin, and Mark A. Neifeld
J. Opt. Soc. Am. A 17(2) 265-275 (2000)
Arnab Sinha and George Barbastathis
Opt. Express 11(24) 3202-3209 (2003)
Arnab Sinha, Wenyang Sun, Tina Shih, and George Barbastathis
Appl. Opt. 43(7) 1533-1551 (2004)