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Yongtian Wang
Researcher at Beijing Institute of Technology
Publications - 358
Citations - 4216
Yongtian Wang is an academic researcher from Beijing Institute of Technology. The author has contributed to research in topics: Augmented reality & Holographic display. The author has an hindex of 27, co-authored 357 publications receiving 3010 citations. Previous affiliations of Yongtian Wang include Beijing Film Academy.
Papers
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Journal ArticleDOI
Automatic 2-D/3-D Vessel Enhancement in Multiple Modality Images Using a Weighted Symmetry Filter
Yitian Zhao,Yalin Zheng,Yonghuai Liu,Yifan Zhao,Lingling Luo,Siyuan Yang,Tong Na,Yongtian Wang,Jiang Liu +8 more
TL;DR: A novel 2-D/3-D symmetry filter that considers local phase features by using a quadrature filter to distinguish between lines and edges, but also uses the weighted geometric mean of the blurred and shifted responses of the quadratures filter, which allows more tolerance of vessels with irregular appearance.
Journal ArticleDOI
Volumetric Generation of Optical Vortices with Metasurfaces
Lingling Huang,Xu Song,Bernhard Reineke,Tianyou Li,Xiaowei Li,Juan Liu,Shuang Zhang,Yongtian Wang,Thomas Zentgraf +8 more
TL;DR: In this paper, the Dammann vortex gratings and spiral Dammann zone plates were employed to generate a 3D volumetric optical vortex array with micrometer spatial separation from visible to near-infrared wavelengths.
Journal ArticleDOI
Multichannel vectorial holographic display and encryption
Ruizhe Zhao,Basudeb Sain,Qunshuo Wei,Chengchun Tang,Xiaowei Li,Thomas Weiss,Lingling Huang,Lingling Huang,Yongtian Wang,Thomas Zentgraf +9 more
TL;DR: In this paper, the authors integrate multiple polarization manipulation channels for various spatial phase profiles into a single birefringent vectorial hologram by completely avoiding unwanted cross-talk, and demonstrate high fidelity, large efficiency, broadband operation, and a total of twelve polarization channels.
Journal ArticleDOI
3D dynamic holographic display by modulating complex amplitude experimentally.
TL;DR: The results indicate that this method can reduce the speckle in reconstructed images effectively; furthermore, it will not cause the internal structure in the reconstructed pixels to cause the stringent alignment of pixels.
Journal ArticleDOI
Local statistics and non-local mean filter for speckle noise reduction in medical ultrasound image
TL;DR: This study combines local statistics with the NLM filter to reduce speckle in ultrasound images and demonstrates that the proposed method outperforms the original NLM, as well as many previously developed methods.