Compressed digital holography: from micro towards macro
Host Publication: SPIE Optical Engineering + Applications 2016
Authors: C. Schretter, S. Bettens, D. Blinder, B. Pesquet-Popescu, M. Cagnazzo, F. Dufaux and P. Schelkens
UsePubPlace: San Diego, CA
Publication Date: Sep. 2016
Number of Pages: 16
The age of computational imaging is merging the physics hardware-driven approach of photonics with advanced signal processing methods from software-driven computer engineering and applied mathematics. The compressed sensing theory in particular established a practical framework for reconstructing the scene content using few linear combination of complex measurements and a sparse prior for regularizing the solution. Compressed sensing found direct applications in digital holography for microscopy. Indeed, interferences during light propagation in free space are mixing in a natural way the spatial distribution of point emitters in scene space. Therefore hologram samples are compressed samples as well. This overview paper discusses contributions in the field of compressed digital holography at the micro scale. Then, an outreach on future extension towards the real-size macro scale is discussed. Thanks to advances in sensor technologies, increasing computing power and the recent improvements in sparse digital signal processing, the holographic modality is on the verge of practical high-quality visualization at a macroscopic scale where much higher resolution holograms must be acquired and processed on the computer.