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Malgorzata Kujawinska

Researcher at Warsaw University of Technology

Publications -  393
Citations -  4019

Malgorzata Kujawinska is an academic researcher from Warsaw University of Technology. The author has contributed to research in topics: Holography & Interferometry. The author has an hindex of 29, co-authored 377 publications receiving 3525 citations. Previous affiliations of Malgorzata Kujawinska include University of Warsaw.

Papers
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Journal ArticleDOI

The architecture of a multipurpose fringe pattern analysis system

TL;DR: The architecture of the system which enables a proper choice between the Fourier transform method, temporal and spatial phase-shifting methods is described and the modular structure of the software gives the possibility of getting the results in the most efficient way.
Proceedings ArticleDOI

Fringe Pattern Analysis Using Fourier Transform Techniques

TL;DR: In this paper, a system of retrieving the phase from a single interferogram with carrier frequency based on 2-D Fourier transform method is presented, where several procedures to modify an inter-ferogram and its spectrum in order to reduce the phase errors and detect the object domain are described.
Proceedings ArticleDOI

Interferometric and tomographic investigations of polymer microtips fabricated at the extremity of optical fibers

TL;DR: In this paper, a simple method of manufacturing micrometer-sized polymer elements at the extremity of both single mode and multimode optical fibers and its possible modifications in order to provide requested functionalities is presented.
Journal ArticleDOI

Native frame rate single SLM color holographic 3D display

TL;DR: In this paper, a single SLM color holographic 3D display with spatial only multiplexing method is presented, where a color (RGB) filter mask placed in front of the SLM surface distributes illuminating beams accordingly to component holograms.
Journal ArticleDOI

Limited-angle hybrid optical diffraction tomography system with total-variation-minimization-based reconstruction

TL;DR: It is proven that in the case of simulated data, the limited number of projections captured in a limited angular range can be compensated by a higher number of iterations of the algorithm.