Compression of digital holograms via adaptive-sparse representation
被引:15
作者:
Memmolo, Pasquale
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CNR, Ist Nazl Ott, I-80078 Pozzuoli, NA, Italy
Univ Naples Federico II, Dipartimento Ingn Biomed Elettron & Telecomunicaz, I-80125 Naples, ItalyCNR, Ist Nazl Ott, I-80078 Pozzuoli, NA, Italy
Memmolo, Pasquale
[1
,3
]
Paturzo, Melania
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机构:
CNR, Ist Nazl Ott, I-80078 Pozzuoli, NA, ItalyCNR, Ist Nazl Ott, I-80078 Pozzuoli, NA, Italy
Paturzo, Melania
[1
]
Pelagotti, Anna
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机构:
CNR, Ist Nazl Ott, I-50125 Florence, ItalyCNR, Ist Nazl Ott, I-80078 Pozzuoli, NA, Italy
Pelagotti, Anna
[2
]
Finizio, Andrea
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机构:
CNR, Ist Nazl Ott, I-80078 Pozzuoli, NA, ItalyCNR, Ist Nazl Ott, I-80078 Pozzuoli, NA, Italy
Finizio, Andrea
[1
]
Ferraro, Pietro
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CNR, Ist Nazl Ott, I-80078 Pozzuoli, NA, ItalyCNR, Ist Nazl Ott, I-80078 Pozzuoli, NA, Italy
Ferraro, Pietro
[1
]
Javidi, Bahram
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机构:
Univ Connecticut, Dept Elect & Comp Engn, Storrs, CT 06269 USACNR, Ist Nazl Ott, I-80078 Pozzuoli, NA, Italy
Javidi, Bahram
[4
]
机构:
[1] CNR, Ist Nazl Ott, I-80078 Pozzuoli, NA, Italy
[2] CNR, Ist Nazl Ott, I-50125 Florence, Italy
[3] Univ Naples Federico II, Dipartimento Ingn Biomed Elettron & Telecomunicaz, I-80125 Naples, Italy
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