We propose a sequential application of two different algorithms oriented on work in temporal and spectral domains. Using the block-matching denoising algorithms adapted to spatio-temporal and spatio-spectral volumetric data, we studied and optimized the parameters of these algorithms to improve the phase/amplitude image reconstruction in hyperspectral terahertz pulse time-domain holography. In Digital Holography and Three-Dimensional Imaging, pages Th4B-4, 2019.
Hyperspectral terahertz pulse time-domain holography: noise filtering. The algorithm is based on a complex domain block-matching 3D filter, on estimation of the noise correlation matrix and on dimension reduction of the Singular Value Decomposition (SVD) eigenspace. We propose a modified denoising algorithm for hyperspectral data. In Digital Holography and Three-Dimensional Imaging, pages W1B-2, 2019. Hyperspectral phase imaging with denoising in SVD image subspace.
#Binary phase mask iterative algorithm laser diffraction free
Lensless phase-retrieval system with phase modulation of free propagation wavefront is proposed. Single exposure lensless subpixel phase imaging. Kocsis, P., Shevkunov, I., Katkovnik, V.The simulation results are proved by comparison with the experimental ones. Experimental data demonstrate the improvement in the quality of the resultant time-domain images as well as phase images and object's relief. We propose a sequential application of the two algorithms oriented on work in temporal and spectral domains. Using the block-matching algorithms adapted for spatio-temporal and spatio-spectral volumetric data we studied and optimized parameters of these algorithms to improve phase image reconstruction quality. We investigated data denoising in hyperspectral terahertz pulse time-domain holography. Hyperspectral data denoising for terahertz pulse time-domain holography. Kulya, M., Petrov, N.V., Tsypkin, A., Egiazarian, K.Materials science, optical metrology and engineering.įunding period -, Academy of Finland, Decision No. These results are beneficial for nanoscience and nanotechnology used across chemistry, biology, physics, Quality of visualization, as compared with the current state-of-the-art. These novel approaches and methods will constitute a clear breakthrough, in accuracy and Revolutionary novel approaches and novel computational techniques will be developed for these problems Two types of the problems are studied: precise reconstruction and precise superresolution of the waveįield and the phase from noisy intensity measurements. The laser beam propagation results in the path-length (phase) shift of the beam. It becomes possible because any inhomogeneity in the media of Structures invisible in the ordinary light. Optics and signal processing, Phase retrieval, Sparse and compressive sensing computational imaging,Ī laser generated monochromatic coherent light field is an unique instrument for precise measuringĪnd sensing in different scenarios varying from the precise control of surfaces to accurate visualization of Keywords: Digital holography, Compressive sensing, Interferometric imaging, Inverse problems, Fourier Title of research project: "Sparse complex domain wave field imaging ("SPARSE"). 287150, 2015-2019 Name of responsible leader: Professor Karen Egiazarian.
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