Compression of digital holograms via adaptive-sparse representation
Anno: 2010
Autori: Memmolo P., Paturzo M., Pelagotti A., Finizio A., Ferraro P., Javidi B.
Affiliazione autori: 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
Giornale/Rivista: OPTICS LETTERS
Volume: 35 (23) Da Pagina: 3883 A: 3885
Parole chiavi: digital holography; image processing; DOI: 10.1364/OL.35.003883Citazioni: 14dati da “WEB OF SCIENCE” (of Thomson Reuters) aggiornati al: 2024-05-05Riferimenti tratti da Isi Web of Knowledge: (solo abbonati) Link per visualizzare la scheda su IsiWeb: Clicca quiLink per visualizzare la citazioni su IsiWeb: Clicca qui