Translator Disclaimer
7 September 2018 Modified variational image decomposition algorithm aided by the Hilbert transform as an alternative to 2D Hilbert-Huang transform for fringe pattern phase retrieval
Author Affiliations +
Proceedings Volume 10834, Speckle 2018: VII International Conference on Speckle Metrology; 1083422 (2018) https://doi.org/10.1117/12.2319681
Event: SPECKLE 2018: VII International Conference on Speckle Metrology, 2018, Janów Podlaski, Poland
Abstract
The process of information recovering from fringe pattern can be divided into two main parts: filtration (fringe pattern background and noise removal) and phase (or amplitude) demodulation. In recent years the 2D Hilbert spiral transform (HST) has become one of the most popular phase demodulation techniques. Together with empirical mode decomposition used for fringe pattern preprocessing forms a strong fringe pattern analysis algorithm called 2D HilbertHuang transform (HHT). Variational image decomposition was recently adapted for fringe pattern filtration. In combination with the 2D Hilbert spiral transform and after some modifications it might become an excellent tool for fringe pattern analysis purpose and can compete with well-developed HHT. Proposed modification is the first attempt to automate the variational image decomposition in terms of fringe pattern filtration. Received results show that VID-HST can compete with HHT and may become an excellent alternative for fringe pattern evaluation. Another fact encouraging the development of VID is a wide range of applications that have been proposed up to now, i.e., image denoising, fringe pattern filtration and phase filtration.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Maria Cywińska, Maciej Trusiak, Krzysztof Patorski, Jose Angel Picazo-Bueno, and Vicente Mico "Modified variational image decomposition algorithm aided by the Hilbert transform as an alternative to 2D Hilbert-Huang transform for fringe pattern phase retrieval", Proc. SPIE 10834, Speckle 2018: VII International Conference on Speckle Metrology, 1083422 (7 September 2018); https://doi.org/10.1117/12.2319681
PROCEEDINGS
12 PAGES


SHARE
Advertisement
Advertisement
Back to Top