Quantitative phase maps denoising of long holographic sequences by using SPADEDH algorithm

Year: 2013

Authors: Memmolo P., Iannone M., Ventre M., Netti P.A., Finizio A., Paturzo M., Ferraro P.

Autors Affiliation: Center for Advanced Biomaterials for Health Care@CRIB, Istituto Italiano di Tecnologia, Largo Barsanti e Matteucci 53, Napoli 80125, Italy;
CNR-Istituto Nazionale di Ottica, via Campi Flegrei 34, Pozzuoli (NA) 80078, Italy;
Department of Materials and Production Engineering, University of Naples Federico II P.le Tecchio 80, Napoli 80125, Italy

Abstract: We propose a denoising method for digital holography mod 2p wrapped phase map by using an adaptation of the SPArsity DEnoising of Digital Holograms (SPADEDH) algorithm. SPADEDH is a l(1) minimization algorithm able to suppress the noise components on digital holograms without any prior knowledge or estimation about the statistics of noise. We test our algorithm with either general numerical simulated wrapped phase, quantifying the performance with different efficiency parameters and comparing it with two popular denoising strategies, i.e., median and Gaussian filters, and specific experimental tests, by focusing our attention on long-sequence wrapped quantitative phase maps (QPMs) of in vitro cells, which aim to have uncorrupted QPMs. In addition, we prove that the proposed algorithm can be used as a helper for the typical local phase unwrapping algorithms. (C) 2013 Optical Society of America

Journal/Review: APPLIED OPTICS

Volume: 52 (7)      Pages from: 1453  to: 1460

KeyWords: Digital holography; Image reconstruction techniques; Microscopy
DOI: 10.1364/AO.52.001453

Citations: 30
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