Zobrazeno 1 - 10
of 105
pro vyhledávání: '"Rafal Kotynski"'
Publikováno v:
Optics express. 29(17)
The speed and quality of single-pixel imaging (SPI) are fundamentally limited by image modulation frequency and by the levels of optical noise and compression noise. In an approach to come close to these limits, we introduce a SPI technique, which is
Publikováno v:
Optics Express. 28:36206
Information about microscopic objects with features smaller than the diffraction limit is almost entirely lost in a far-field diffraction image but could be partly recovered with data completition techniques. Any such approach critically depends on t
We propose a method of reduction of experimental noise in single-pixel imaging by expressing the subsets of sampling patterns as linear combinations of vertices of a multidimensional regular simplex. This method also may be directly extended to compl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ca7329c06683df103887b1254d873f13
Autor:
Anna Pastuszczak, Rafal Kotynski
Publikováno v:
ICTON
Single-pixel cameras (SPC) are image capturing devices, which use only a single detector to collect information about the entire image, by making use of its spatial modulation. Although a single detector is enough to obtain images of good quality in
Publikováno v:
ICTON
Single pixel detectors find applications ranging from multispectral imaging, through polarimetric, 3d, and holographic imaging, up to optical encryption and imaging through scattering media, which are however all hindered by the high measurement and
Publikováno v:
2016 18th International Conference on Transparent Optical Networks (ICTON).
One of the main contributions of compressed sensing (CS) to optics is the introduction of single-pixel cameras (SPC). These imaging systems make use of structured aperture functions or structured illumination, which is usually based on Walsh-Hadamard
Publikováno v:
2016 18th International Conference on Transparent Optical Networks (ICTON).
Compressive sensing (CS) is a rapidly developing field of mathematics and signal processing with important contributions to the introduction of novel measurement methodologies and information recovery techniques in numerous fields of science and tech
Autor:
David Pastor, Rafal Kotynski, Mahin Naserpour, Carlos Díaz-Aviñó, Carlos J. Zapata-Rodríguez, Juan Jose Miret
Nonlocal effects in metal–dielectric (MD) periodic nanostructures may typically be observed when the plasmonic particles and gaps are on the scale of a few tens of nanometers, enabling under certain conditions (succinctly for epsilon near zero) a c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a17e44a9325a9c2b551c6ccd94984552
https://hdl.handle.net/10045/62931
https://hdl.handle.net/10045/62931
Efficient adaptation of complex-valued noiselet sensing matrices for compressed single-pixel imaging
Minimal mutual coherence of discrete noiselets and Haar wavelets makes this pair of bases an essential choice for the measurement and compression matrices in compressed-sensing-based single-pixel detectors. In this paper we propose an efficient way o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::18cce5a2376782f51d6a3aba54923ec3