Presentation + Paper
24 May 2018 Multiwavelength surface contouring from phase-coded diffraction patterns
Author Affiliations +
Abstract
We propose a new algorithm for absolute phase retrieval from multiwavelength noisy phase coded diffraction patterns in the task of surface contouring. A lensless optical setup is considered with a set of successive single wavelength experiments. The phase masks are applied for modulation of the multiwavelength object wavefronts. The algorithm uses the forward and backward propagation for coherent light beams and sparsely encoding wavefronts which leads to the complex-domain block-matching 3D filtering. The key-element of the algorithm is an original aggregation of the multiwavelength object wavefronts for high-dynamic-range profile measurement. Numerical experiments demonstrate that the developed approach leads to the effective solutions explicitly using the sparsity for noise suppression and high-accuracy object profile reconstruction.
Conference Presentation
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Vladimir Katkovnik, Igor Shevkunov, Nikolay V. Petrov, and Karen Eguiazarian "Multiwavelength surface contouring from phase-coded diffraction patterns", Proc. SPIE 10677, Unconventional Optical Imaging, 106771B (24 May 2018); https://doi.org/10.1117/12.2306127
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CITATIONS
Cited by 1 scholarly publication.
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KEYWORDS
Reconstruction algorithms

Phase retrieval

Signal to noise ratio

Algorithm development

Sensors

Photons

Wavefronts

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