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UNIVERSITY OF BUCHAREST
FACULTY OF PHYSICS Guest
2024-11-22 1:24 |
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Conference: Bucharest University Faculty of Physics 2018 Meeting
Section: Optics, Spectroscopy, Plasma and Lasers
Title:
Two instances of image super-resolution using sensor raster scanning and deconvolution
Authors:
Petre Cătălin Logofătu, Victor Damian, Tiberius Vasile, and Mihail Lucian Pascu
Affiliation:
National Institute for Laser, Plasma and Radiation Physics, Laser Dept., str. Atomiștilor nr. 409, CP MG-36, Măgurele, jud. Ilfov, Romania, 077125
E-mail
petre.logofatu@inflpr.ro
Keywords:
Super-resolution, deconvolution, sub-pixel raster scan, hyperspectroscopy, enhanced-resolution photography.
Abstract:
Super-resolution reconstructs a high-resolution image from one or more low-resolution recorded images [1]. It uses a variety of hard techniques, such as sensor raster scanning [1], or soft techniques, such as interpolation, iterative back-projection, and the regularized methods, and it is useful in a variety of applications, such as video surveillance, medical diagnosis and remote sensing. Here two applications based on the same technique are presented in some detail: first, the hyperspectral characterization of a THz beam generated by a Time Domain Spectroscopy device [2] and second, the resolution-enhanced photography. In both cases, images recorded by the sensor during a sub-pixel raster scan were interwoven in a high-resolution image, subsequently deconvoluted with a constant square kernel the size of the sensor pixel. For hyperspectral characterization, regularization was necessary, but for resolution-enhanced photography, simple deconvolution was enough. Magee’s approach to super-resolution [3], which does not use convolution, was analyzed and rejected.
References:
1. Linwei Yue, Huanfeng Shen, Jie Li, Qiangqiang Yuan, Hongyan Zhang, Liangpei Zhang, “Image super-resolution: The techniques, applications, and future,” Signal Process 128, 389–408 (2016)
2. Petre Cătălin Logofătu and Victor Damian, “Super resolution terahertz imaging by subpixel estimation: application to hyperspectral beam profiling,” J Opt 20(5), 055701 (2018)
3. M. L. Magee, “Theoretical characterization of images that can be totally refined using the transducer oscillation algorithm,” in Fourth Internat. Joint Conf. Pattern Recognition Kyoto, 521-524 (1978)
Acknowledgement:
This work was partially financed by the Unitatea Executiva pentru Finantarea Invatamantului Superior under grant 290/2014 INFLPR-ISS-UEFISCDI “THz-Detect” and partially by the Autoritatea Națională pentru Cercetare Științifică in the frame of the Nucleus program - contract 4N/2016.
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