Title :
Super-resolving optical systems based on compressive sensing
Author :
Stern, Adrian ; Yitzhak, August ; Farber, Vladimir ; Yehuda, Ran
Author_Institution :
Dept. of Electro-Opt. Eng., Ben-Gurion Univ. of the Negev, Beer-Sheva, Israel
Abstract :
The theory of compressive sensing and sparse representations broke the traditional linkage between the resolution of the optical signals and the bandwidth of the acquisition process. As such, it opened the path to new optical super-resolving systems; that is, methods and systems that are able to capture optical signals with resolution beyond the classical limits. In this paper we overview some compressive sensing optical super-resolution systems that we have developed, including three compressive imaging system that produce super-resolution images, super-resolution tomography reconstruction, and super-resolution spectral sensing.
Keywords :
compressed sensing; image reconstruction; image resolution; optical images; optical tomography; reviews; compressive imaging system; compressive sensing theory; optical signal resolution; optical super-resolving systems; sparse representation theory; super-resolution images; super-resolution spectral sensing; super-resolution tomography reconstruction; Holography; Image resolution; Optical imaging; Optical sensors; Signal resolution; compressed sensing; compressive imaging; compressive sensing; computational imaging; computational spectroscopy;
Conference_Titel :
Information Optics (WIO), 2014 13th Workshop on
Conference_Location :
Neuchatel
DOI :
10.1109/WIO.2014.6933291