Alternative Coherent-Mode Representation of a Planar Source in Computational Imaging

2006 ◽  
Author(s):  
Andrey S. Ostrovsky ◽  
Alexandre M. Zemliak ◽  
Mario V. Rodríguez Solís ◽  
Paulo C. Romero Soria
Author(s):  
Andrey S. Ostrovsky ◽  
Alexandre M. Zemliak ◽  
Mario V. Rodríguez-Solís ◽  
Paulo C. Romero-Soria
Keyword(s):  

2011 ◽  
Vol 284 (12) ◽  
pp. 2638-2641 ◽  
Author(s):  
A.S. Ostrovsky ◽  
A.M. Zemliak ◽  
M.Á. Olvera
Keyword(s):  

2005 ◽  
Author(s):  
Andrey S. Ostrovsky ◽  
Alexander M. Zemliak ◽  
Edgar Hernández-García
Keyword(s):  

2005 ◽  
Vol 249 (1-3) ◽  
pp. 1-6 ◽  
Author(s):  
Andrey S. Ostrovsky ◽  
Alexander M. Zemliak ◽  
Edgar Hernández-Garcı́a
Keyword(s):  

Sensors ◽  
2021 ◽  
Vol 21 (12) ◽  
pp. 4011
Author(s):  
Chuanwei Yao ◽  
Yibing Shen

The image deconvolution technique can recover potential sharp images from blurred images affected by aberrations. Obtaining the point spread function (PSF) of the imaging system accurately is a prerequisite for robust deconvolution. In this paper, a computational imaging method based on wavefront coding is proposed to reconstruct the wavefront aberration of a photographic system. Firstly, a group of images affected by local aberration is obtained by applying wavefront coding on the optical system’s spectral plane. Then, the PSF is recovered accurately by pupil function synthesis, and finally, the aberration-affected images are recovered by image deconvolution. After aberration correction, the image’s coefficient of variation and mean relative deviation are improved by 60% and 30%, respectively, and the image can reach the limit of resolution of the sensor, as proved by the resolution test board. Meanwhile, the method’s robust anti-noise capability is confirmed through simulation experiments. Through the conversion of the complexity of optical design to a post-processing algorithm, this method offers an economical and efficient strategy for obtaining high-resolution and high-quality images using a simple large-field lens.


Sensors ◽  
2021 ◽  
Vol 21 (12) ◽  
pp. 4092
Author(s):  
Gintaras Valušis ◽  
Alvydas Lisauskas ◽  
Hui Yuan ◽  
Wojciech Knap ◽  
Hartmut G. Roskos

In this roadmap article, we have focused on the most recent advances in terahertz (THz) imaging with particular attention paid to the optimization and miniaturization of the THz imaging systems. Such systems entail enhanced functionality, reduced power consumption, and increased convenience, thus being geared toward the implementation of THz imaging systems in real operational conditions. The article will touch upon the advanced solid-state-based THz imaging systems, including room temperature THz sensors and arrays, as well as their on-chip integration with diffractive THz optical components. We will cover the current-state of compact room temperature THz emission sources, both optolectronic and electrically driven; particular emphasis is attributed to the beam-forming role in THz imaging, THz holography and spatial filtering, THz nano-imaging, and computational imaging. A number of advanced THz techniques, such as light-field THz imaging, homodyne spectroscopy, and phase sensitive spectrometry, THz modulated continuous wave imaging, room temperature THz frequency combs, and passive THz imaging, as well as the use of artificial intelligence in THz data processing and optics development, will be reviewed. This roadmap presents a structured snapshot of current advances in THz imaging as of 2021 and provides an opinion on contemporary scientific and technological challenges in this field, as well as extrapolations of possible further evolution in THz imaging.


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