This paper presents a comparative study of multi-look approaches for de-noising phase maps from digital holography experiments. A database of 160 simulated phase fringe patterns with 8 different phase fringe patterns with certain fringe diversity were computed. For each fringe pattern, 20 realistic noise realizations are generated in order to simulate a multi-look process with 20 inputs. A set of 37 de-noising algorithms were selected and processed for each simulation. The results demonstrate that the two-dimensional windowed Fourier transform filtering exhibits the best performance in all cases.

Multi-look approaches for phase map de-noising in digital Fresnel holography: Comparative analysis

Memmolo P;Bianco V;Ferraro P
2018

Abstract

This paper presents a comparative study of multi-look approaches for de-noising phase maps from digital holography experiments. A database of 160 simulated phase fringe patterns with 8 different phase fringe patterns with certain fringe diversity were computed. For each fringe pattern, 20 realistic noise realizations are generated in order to simulate a multi-look process with 20 inputs. A set of 37 de-noising algorithms were selected and processed for each simulation. The results demonstrate that the two-dimensional windowed Fourier transform filtering exhibits the best performance in all cases.
2018
Istituto di Scienze Applicate e Sistemi Intelligenti "Eduardo Caianiello" - ISASI
Inglese
Imaging and Applied Optics 2018 (3D, AIO, AO, COSI, DH, IS, LACSEA, LSC, MATH, pcAOP) © OSA 2018
Part F100-DH 2018
http://www.scopus.com/record/display.url?eid=2-s2.0-85051251835&origin=inward
25/06/2018-28/06/2018
Orlando, Florida United States
Digital Holography
Image processing
Image reconstruction techniques
3
none
Montresor S.; Memmolo P.; Bianco V.; Picart P.; Ferraro P.
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/351343
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