Title :
Efficient compressive Fresnel holography
Author :
Stern, Adrian ; Rivenson, Yair ; Javidi, Bahram
Author_Institution :
Ben-Gurion Univ. of the Negev, Beer-Sheva, Israel
Abstract :
Compressive sensing is a new paradigm which seeks to sample only the essential elements of the signal. We demonstrate the application of the compressive sensing approach to in-line digital Fresnel hologram. It is demonstrated that in order to apply the compressive sensing approach effectively on digitally recorded Fresnel field a special sampling scheme should be adopted.
Keywords :
Fresnel diffraction; holography; image reconstruction; compressive Fresnel holography; compressive sensing approach; digitally recorded Fresnel field; image reconstruction; in-line digital hologram; Compressed sensing; Holography; Image coding; Image reconstruction; Optical sensors;
Conference_Titel :
Information Optics (WIO), 2010 9th Euro-American Workshop on
Conference_Location :
Helsinki
Print_ISBN :
978-1-4244-8226-9
Electronic_ISBN :
978-1-4244-8227-6
DOI :
10.1109/WIO.2010.5582507