We propose a sparsity-based denoising algorithm for digital holography retrieved wrapped phase maps (WPMs) mod 2π by using a modified version of the SPADEDH (SPArsity DEnoising of Digital Holograms) algorithm, proposed in [1]. We test the proposed method on both simulated wrapped phase reconstructions and experimental wrapped phase maps obtained by digital holograms of living cells. Finally, we also show that the proposed algorithm can be used as a helper for the typical local phase unwrapping algorithms.
Sparsity-based denoising method of wrapped-phase reconstructions in digital holographyOptical Measurement Systems for Industrial Inspection VIII / P., Memmolo; M., Iannone; Ventre, Maurizio; Netti, PAOLO ANTONIO; A., Finizio; M., Paturzo; P., Ferraro. - 8788:(2013), p. 878806. (Intervento presentato al convegno Optical Measurement Systems for Industrial Inspection VIII tenutosi a Munich, Germany nel 13/05/2013 - 16/05/2013) [10.1117/12.2020554].
Sparsity-based denoising method of wrapped-phase reconstructions in digital holographyOptical Measurement Systems for Industrial Inspection VIII
VENTRE, MAURIZIO;NETTI, PAOLO ANTONIO;
2013
Abstract
We propose a sparsity-based denoising algorithm for digital holography retrieved wrapped phase maps (WPMs) mod 2π by using a modified version of the SPADEDH (SPArsity DEnoising of Digital Holograms) algorithm, proposed in [1]. We test the proposed method on both simulated wrapped phase reconstructions and experimental wrapped phase maps obtained by digital holograms of living cells. Finally, we also show that the proposed algorithm can be used as a helper for the typical local phase unwrapping algorithms.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
