Abstract

Holographic imaging may become severely degraded by a mixture of speckle and incoherent additive noise. Bayesian approaches reduce the incoherent noise, but prior information is needed on the noise statistics. With no prior knowledge, one-shot reduction of noise is a highly desirable goal, as the recording process is simplified and made faster. Indeed, neither multiple acquisitions nor a complex setup are needed. So far, this result has been achieved at the cost of a deterministic resolution loss. Here we propose a fast non-Bayesian denoising method that avoids this trade-off by means of a numerical synthesis of a moving diffuser. In this way, only one single hologram is required as multiple uncorrelated reconstructions are provided by random complementary resampling masks. Experiments show a significant incoherent noise reduction, close to the theoretical improvement bound, resulting in image-contrast improvement. At the same time, we preserve the resolution of the unprocessed image.

© 2013 Optical Society of America

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[CrossRef]

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[CrossRef]

2004 (2)

2002 (1)

J. I. Trisnadi, Proc. SPIE 4657, 131 (2002).
[CrossRef]

1973 (1)

Abollasshani, M.

M. Abollasshani and Y. Rostami, Optik 123, 937 (2012).
[CrossRef]

Alfieri, D.

Bertaux, N.

Castro, A.

Choi, Y. S.

Esnaola, I.

Ferraro, P.

Fessler, J. A.

Finizio, A.

Frauel, Y.

Goodman, J. W.

Hennelly, B. M.

Hong, S.

Javidi, B.

Katagiri, B.

Kawakami, T.

Kubota, S.

Kuratomi, Y.

Lee, S. J.

Li, R.

Liu, S.

Maycock, J.

Mc Donald, J. B.

Memmolo, P.

Naughton, T. J.

Pan, F.

Paturzo, M.

Prieto, D. V.

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[CrossRef]

Ramirez, J. A. H.

J. G. Sucerquia, J. A. H. Ramirez, and D. V. Prieto, Optik 116, 44 (2005).
[CrossRef]

Réfrégier, P.

Rivenson, Y.

Rong, L.

Rostami, Y.

M. Abollasshani and Y. Rostami, Optik 123, 937 (2012).
[CrossRef]

Satoh, H.

Sekiya, K.

Sotthivirat, S.

Stern, A.

Sucerquia, J. G.

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[CrossRef]

Suzuki, Y.

Tomiyama, T.

Trisnadi, J. I.

J. I. Trisnadi, Proc. SPIE 4657, 131 (2002).
[CrossRef]

Tulino, A. M.

Uchida, T.

Uzan, A.

Wang, E. Y.

Xiao, W.

Yu, F. T. S.

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