Transport-of-intensity phase imaging using Savitzky-Golay differentiation filter : theory and applications
Several existing strategies for estimating the axial intensity derivative in the transport-of-intensity equation (TIE) from multiple intensity measurements have been unified by the Savitzky-Golay differentiation filter - an equivalent convolution solution for differentiation estimation by least-...
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Main Authors: | , , , |
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Other Authors: | |
Format: | Article |
Language: | English |
Published: |
2013
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/96550 http://hdl.handle.net/10220/9918 |
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Institution: | Nanyang Technological University |
Language: | English |
Summary: | Several existing strategies for estimating the axial intensity
derivative in the transport-of-intensity equation (TIE) from multiple
intensity measurements have been unified by the Savitzky-Golay
differentiation filter - an equivalent convolution solution for differentiation
estimation by least-squares polynomial fitting. The different viewpoint from
the digital filter in signal processing not only provides great insight into the
behaviors, the shortcomings, and the performance of these existing intensity
derivative estimation algorithms, but more important, it also suggests a new
way of improving solution strategies by extending the applications of
Savitzky-Golay differentiation filter in TIE. Two novel methods for phase
retrieval based on TIE are presented - the first by introducing adaptivedegree
strategy in spatial domain and the second by selecting optimal
spatial frequencies in Fourier domain. Numerical simulations and
experiments verify that the second method outperforms the existing
methods significantly, showing reliable retrieved phase with both overall
contrast and fine phase variations well preserved. |
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