Fourier single-pixel reconstruction of a complex amplitude optical field

2019 ◽  
Vol 44 (13) ◽  
pp. 3278 ◽  
Author(s):  
Shupeng Zhao ◽  
Ruifeng Liu ◽  
Pei Zhang ◽  
Hong Gao ◽  
Fuli Li
Keyword(s):  
Optical Field ◽  
Complex Amplitude ◽  
Single Pixel

Complex-amplitude single-pixel imaging

2018 ◽  
Vol 43 (15) ◽  
pp. 3682 ◽  
Author(s):  
Kazuki Ota ◽  
Yoshio Hayasaki
Keyword(s):  
Complex Amplitude ◽  
Single Pixel

Quantitative imaging for optical field via a single-pixel detector

2021 ◽  
pp. 108173
Author(s):  
Xianye Li ◽  
Yafei Sun ◽  
Yikang He ◽  
Xun Li ◽  
Baoqing Sun
Keyword(s):  
Quantitative Imaging ◽  
Optical Field ◽  
Pixel Detector ◽  
Single Pixel

scholarly journals Complex-amplitude single-pixel imaging using coherent structured illumination

2021 ◽  
Author(s):  
Hong-Yun Hou ◽  
Ya-Nan zhao ◽  
Jia-Cheng Han ◽  
Shengwei Cui ◽  
Dezhong Cao ◽  
...  
Keyword(s):  
Complex Amplitude ◽  
Structured Illumination ◽  
Single Pixel

High-performance light transmission based on graphene plasmonic waveguides

2020 ◽  
Vol 8 (20) ◽  
pp. 6832-6838 ◽  
Author(s):  
Da Teng ◽  
Kai Wang ◽  
Qiongsha Huan ◽  
Weiguang Chen ◽  
Zhe Li
Keyword(s):  
High Performance ◽  
Light Transmission ◽  
Optical Field ◽  
Plasmonic Waveguides ◽  
Rib Waveguide

Tunable ultra-deep subwavelength optical field confinement is reported by using a graphene-coated nanowire-loaded silicon nano-rib waveguide.

Multiresolution Bio-Medical Image Segmentation using Fuzzy C-Means Clustering

2019 ◽  
Vol 8 (4) ◽  
pp. 9548-9551
Keyword(s):  
Image Segmentation ◽  
Medical Image Segmentation ◽  
Experimental Result ◽  
Segmentation Method ◽  
Fuzzy C Means ◽  
Fuzzy C Means Clustering ◽  
Robust Image ◽  
Multiple Clusters ◽  
Single Pixel ◽  
Popular Image

Fuzzy c-means clustering is a popular image segmentation technique, in which a single pixel belongs to multiple clusters, with varying degree of membership. The main drawback of this method is it sensitive to noise. This method can be improved by incorporating multiresolution stationary wavelet analysis. In this paper we develop a robust image segmentation method using Fuzzy c-means clustering and wavelet transform. The experimental result shows that the proposed method is more accurate than the Fuzzy c-means clustering.

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