Proceedings Paper
A method for reducing the sidelobes in superoscillation imaging| Format | Member Price | Non-Member Price |
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| $17.00 | $21.00 |
Paper Abstract
Superoscillation is a novel super-resolution method based on the propagation wave instead of
evanescent waves and its limitation is increasing resolution with huge sidelobes. We developed a
super-oscillation function filter based on Chebyshev linear array, which overcame the diffraction
limit with lower side lobes in 4F system. It was proved that value of MSE and PSNR of single
point and multipoint samples imaging reduced a half.
Paper Details
Date Published: 17 December 2015
PDF: 6 pages
Proc. SPIE 9811, MIPPR 2015: Multispectral Image Acquisition, Processing, and Analysis, 98110E (17 December 2015); doi: 10.1117/12.2230211
Published in SPIE Proceedings Vol. 9811:
MIPPR 2015: Multispectral Image Acquisition, Processing, and Analysis
Jinxue Wang; Zhiguo Cao; Jayaram K. Udupa; Henri Maître, Editor(s)
PDF: 6 pages
Proc. SPIE 9811, MIPPR 2015: Multispectral Image Acquisition, Processing, and Analysis, 98110E (17 December 2015); doi: 10.1117/12.2230211
Show Author Affiliations
Hanben Niu, Shenzhen Univ. (China)
Published in SPIE Proceedings Vol. 9811:
MIPPR 2015: Multispectral Image Acquisition, Processing, and Analysis
Jinxue Wang; Zhiguo Cao; Jayaram K. Udupa; Henri Maître, Editor(s)
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