Hyperspectral phase retrieval

Katkovnik, Vladimir; Shevkunov, Igor; Eguiazarian, Karen

doi:10.1117/12.2553713

Cited by 2 publications

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“…t∈T Þg; for k ¼ 1;2; : : : ; N∕2 − 1; (13) where "fftshift" denotes the MATLAB shift operator in frequency domain. This symmetric sampling is often used in applications.…”

Section: Minimization On B Lmentioning

confidence: 99%

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Hyperspectral phase retrieval: spectral–spatial data processing with sparsity-based complex domain cube filter

2021

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Hyperspectral (HS) imaging retrieves information from data obtained across broadband spectral channels. Information to retrieve is a 3D cube, where two coordinates are spatial and the third one is spectral. This cube is complex-valued with varying amplitude and phase. We consider shearography optical setup, in which two phase-shifted broadband copies of the object projections are interfering at a sensor. Registered observations are intensities summarized over spectral channels. For phase reconstruction, the variational setting of the phase retrieval problem is used to derive the iterative algorithm, which includes the original proximity spectral analysis operator and the sparsity modeling of the complex-valued object 3D cube. We resolve the HS phase retrieval problem without random phase coding of wavefronts typical for the most conventional phase retrieval techniques. We show the performance of the algorithm for object phase and thickness imaging in simulation and experimental tests. © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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“…t∈T Þg; for k ¼ 1;2; : : : ; N∕2 − 1; (13) where "fftshift" denotes the MATLAB shift operator in frequency domain. This symmetric sampling is often used in applications.…”

Section: Minimization On B Lmentioning

confidence: 99%

“…We have published the preliminary results about the proposed algorithm in the conference proceeding. 13 In this paper, we present more stimulation and as well as experimental results with detailed discussion.…”

Section: Introductionmentioning

confidence: 99%