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Optics Letters

Optics Letters


  • Editor: Alan E. Willner
  • Vol. 35, Iss. 23 — Dec. 1, 2010
  • pp: 3883–3885

Compression of digital holograms via adaptive-sparse representation

Pasquale Memmolo, Melania Paturzo, Anna Pelagotti, Andrea Finizio, Pietro Ferraro, and Bahram Javidi  »View Author Affiliations

Optics Letters, Vol. 35, Issue 23, pp. 3883-3885 (2010)

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Efficient storage and transmission of digital holograms (DHs) requires the development of appropriate compression techniques for such a special class of images. In this Letter, we investigate a method to compress DHs using a sparse matrix representation. Using digital holography to numerically manage complex wave fields, we are able to apply an adaptive mask, based on a threshold filter, to the object wave field. From there, we store the result of this filtering by sparse representation. In this Letter, we demonstrate that using sparse representation allows for a high compres sion factor with minimal loss in the quality of the reconstructed image. This technique is efficient for storage and transmission of DHs.

© 2010 Optical Society of America

OCIS Codes
(100.2000) Image processing : Digital image processing
(180.0180) Microscopy : Microscopy
(200.3050) Optics in computing : Information processing
(210.0210) Optical data storage : Optical data storage
(090.1995) Holography : Digital holography
(070.2615) Fourier optics and signal processing : Frequency filtering

ToC Category:

Original Manuscript: September 2, 2010
Revised Manuscript: October 1, 2010
Manuscript Accepted: October 10, 2010
Published: November 18, 2010

Pasquale Memmolo, Melania Paturzo, Anna Pelagotti, Andrea Finizio, Pietro Ferraro, and Bahram Javidi, "Compression of digital holograms via adaptive-sparse representation," Opt. Lett. 35, 3883-3885 (2010)

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