Research project
Optical single-pixel detection based on the theory of compressive sensing
dr hab. Rafał Kotyński | Project leader |
mgr Krzysztof Czajkowski | Principal investigator |
dr inż. Anna Pastuszczak | Principal investigator |
mgr Arkadiusz Ciesielski | Investigator |
dr Tomasz Stefaniuk | Investigator |
prof. dr hab. Tomasz Szoplik | Investigator |
dr Piotr Wróbel | Investigator |
The objective of this project is to create the experimental environment sufficient to test and develop compressive sensingg techniques in 2D numerically and optically, and 1. to verify the possibility of using a variated aperture function for single-pixel detection as well as to improve the understanding of this approach for obtaining an infinite depth of focus; 2. to validate single-pixel detection experimentally and to compare the l1-norm optimization approach of compressive sensing against some other methods used in inverse problems such as pseudoinverse and entropy-based blind deconvolution; 3. to apply compressive sensing for measuring optical response of layered optical metamaterials; 4. to combine single-pixel detection with spatial filtering.
- Czajkowski K., Pastuszczak A. and Kotyński R., 2018, Single-pixel imaging with Morlet wavelet correlated random patterns, Scientific Reports, vol. 8, art. 466, 10.1038/s41598-017-18968-6
- Czajkowski K.M., Pastuszczak A., Kotyński R., 2018, Real-time single-pixel video imaging with Fourier domain regularization, Optics Express, vol. 26(16), 20009-20022, 10.1364/OE.26.020009
- Pastor-Calle D., Pastuszczak A., Mikołajczyk M., Kotyński R., 2017, Compressive phase-only filtering at extreme compression rates, Optics Communications, vol. 383, 446-452, 10.1016/j.optcom.2016.09.024
- Pastuszczak A., Szczygieł B., Mikołajczyk M., Kotynski R., 2016, Efficient adaptation of complex-valued noiselet sensing matrices for compressed single-pixel imaging, Applied Optics, vol. 55 (19), 5141-5148, 10.1364/AO.55.005141