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, Ist Nazl Ott, I-80078 Pozzuoli, NA, Italy; CNR, Ist Nazl Ott, I-50125 Florence, Italy; Univ Naples Federico II, Dipartimento Ingn Biomed Elettron & Telecomunicaz, I-80125 Naples, Italy; Univ Connecticut, Dept Elect & Comp Engn, Storrs, CT 06269 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: Reconstruction; Information
DOI: 10.1364/OL.35.003883

ImpactFactor: 3.318
Citations: 15
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