17 December 2015 A method for reducing the sidelobes in superoscillation imaging
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Proceedings Volume 9811, MIPPR 2015: Multispectral Image Acquisition, Processing, and Analysis; 98110E (2015) https://doi.org/10.1117/12.2230211
Event: Ninth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2015), 2015, Enshi, China
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.
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Yunchuan Liu, Yingdong Huo, Hanben Niu, "A method for reducing the sidelobes in superoscillation imaging", Proc. SPIE 9811, MIPPR 2015: Multispectral Image Acquisition, Processing, and Analysis, 98110E (17 December 2015); doi: 10.1117/12.2230211; https://doi.org/10.1117/12.2230211
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