Title :
Compressive Fresnel Holography
Author :
Rivenson, Yair ; Stern, Adrian ; Javidi, Bahram
Author_Institution :
Dept. of Electr. & Comput. Eng., Ben-Gurion Univ. of the Negev, Beer-Sheva, Israel
Abstract :
Compressive sensing is a relatively new measurement paradigm which seeks to capture the “essential” aspects of a high-dimensional object using as few measurements as possible. In this work we demonstrate successful application of compressive sensing framework to digital Fresnel holography. It is shown that when applying compressive sensing approach to Fresnel fields a special sampling scheme should be adopted for improved results.
Keywords :
Fresnel diffraction; holography; image reconstruction; mechanical variables measurement; compressive Fresnel holography; compressive sensing; digital holography; image reconstruction; variable density sampling; Computed tomography; Detectors; Helium; Holography; Image coding; Image reconstruction; Pixel; Sampling methods; Transform coding; Wavelet domain; Compressive imaging; Fresnel digital holography; variable density sampling;
Journal_Title :
Display Technology, Journal of
DOI :
10.1109/JDT.2010.2042276