Scientific Results

Compression of digital holograms via adaptive-sparse representation

Year: 2010

Authors: Memmolo P., Paturzo M., Pelagotti A., Finizio A., Ferraro P., Javidi B.

Autors Affiliation: CNR — Istituto Nazionale di Ottica, via Campi Flegrei 34, 80078 Pozzuoli (NA), Italy; CNR — Istituto Nazionale di Ottica, Largo Fermi 6, 50125 Firenze, Italy;
Dipartimento di Ingegneria Biomedica Elettronica e delle Telecomunicazioni,
Università degli Studi di Napoli “Federico II”, via Claudio 21, 80125 Napoli, Italy;
Electrical and Computer Engineering Department, University of Connecticut, U-2157 Storrs, Connecticut 06269-2157, USA

Abstract: 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 compression factor with minimal loss in the quality of the reconstructed image. This technique is efficient for storage and transmission of DHs. (C) 2010 Optical Society of America

Journal/Review: OPTICS LETTERS

Volume: 35 (23)      Pages from: 3883  to: 3885

KeyWords: digital holography; image processing;
DOI: 10.1364/OL.35.003883

Citations: 12
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