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, 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
Giornale/Rivista: OPTICS LETTERS
Volume: 35 (23) Da Pagina: 3883 A: 3885
Parole chiavi: Reconstruction; InformationDOI: 10.1364/OL.35.003883Citazioni: 15dati da “WEB OF SCIENCE” (of Thomson Reuters) aggiornati al: 2025-05-18Riferimenti 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
