K
Kaiming Wang
Researcher at University of Shanghai for Science and Technology
Publications - 4
Citations - 22
Kaiming Wang is an academic researcher from University of Shanghai for Science and Technology. The author has contributed to research in topics: Speckle pattern & Time domain. The author has an hindex of 2, co-authored 4 publications receiving 9 citations.
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Research on image transmission mechanism through a multimode fiber based on principal component analysis
TL;DR: A method is proposed that constructs the inverse transformation matrix of the MMF based on principal component analysis (PCA), which can reconstruct the grayscale images of natural scene at high frame rate and high resolution and shows high reconstruction accuracy with few training samples.
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High definition images transmission through single multimode fiber using deep learning and simulation speckles
TL;DR: This paper combines principal component analysis (PCA) method, deep learning based speckle classification (DLSC) anddeep learning based image enhancement (DLIE) to improve imaging definition and shows imaging capability with high definition for complex natural scenes, which may provide a feasible method for high definition images transmission through the MMF.
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Performance comparison based on single-pixel imaging methods in the time domain
TL;DR: Simulated results suggest that the method of total variance minimization gives high-quality reconstruction of the imaging object with less time consumption compared with other methods.