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Applied Optics

Applied Optics


  • Editor: Joseph N. Mait
  • Vol. 52, Iss. 7 — Mar. 1, 2013
  • pp: 1453–1460

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

Pasquale Memmolo, Maria Iannone, Maurizio Ventre, Paolo Antonio Netti, Andrea Finizio, Melania Paturzo, and Pietro Ferraro  »View Author Affiliations

Applied Optics, Vol. 52, Issue 7, pp. 1453-1460 (2013)

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We propose a denoising method for digital holography mod 2π wrapped phase map by using an adaptation of the SPArsity DEnoising of Digital Holograms (SPADEDH) algorithm. SPADEDH is a l1 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.

© 2013 Optical Society of America

OCIS Codes
(100.3010) Image processing : Image reconstruction techniques
(180.0180) Microscopy : Microscopy
(090.1995) Holography : Digital holography

ToC Category:

Original Manuscript: October 12, 2012
Revised Manuscript: January 24, 2013
Manuscript Accepted: January 29, 2013
Published: February 27, 2013

Pasquale Memmolo, Maria Iannone, Maurizio Ventre, Paolo Antonio Netti, Andrea Finizio, Melania Paturzo, and Pietro Ferraro, "Quantitative phase maps denoising of long holographic sequences by using SPADEDH algorithm," Appl. Opt. 52, 1453-1460 (2013)

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