Search Results - zhikang+zhang

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Method for 3D Nonlinear Structured Illumination Super-resolution Imaging
Researchers at the University of Arizona have developed a super-resolution microscopy method that is faster, easier to use, and has less artifacts than current super-resolution methods. The result is a 3D dual-color stimulated emission depletion (STED) nonlinear structured illumination (NL-SIM) microscope. Using a combination of low coherent light and...
Published: 4/3/2023   |   Inventor(s): Leilei Peng, Yu Li, Han Zhang
Keywords(s):  
Category(s): Technology Classifications > Imaging & Optics, Technology Classifications > Imaging & Optics > Medical Imaging, Technology Classifications > Imaging & Optics > Microscopy, Spectroscopy, Polarimetry
Data-Driven Nonuniform Subsampling for Computation-Free Compressive Information Acquisition
Background The emergent Internet-of-Things (IoT) data explosion will inevitably exert a tremendous data transmission burden onto the wireless edge networks, which are often low-power wide-area networks (LPWAN) with very limited bandwidth. Thus, improving the bandwidth efficiency of wireless edge networks will be of great importance. In addition, the...
Published: 2/23/2023   |   Inventor(s): Zhikang Zhang, Fengbo Ren
Keywords(s):  
Category(s): Computing & Information Technology, Physical Science
Generic Compression Ratio Adapter for End-to-End Data-Driven Image Compressive Sensing Reconstruction (EDCSR) Frameworks
Background Compressive sensing (CS) is a transformative sampling technique that allows sparse signals to be sampled in compressed form at a rate much lower than the Nyquist rate. In particular, end-to-end data-driven image compressive sensing reconstruction (EDCSR) frameworks achieve state-of-the-art reconstruction performance in terms of speed and...
Published: 2/23/2023   |   Inventor(s): Zhikang Zhang, Fengbo Ren, Kai Xu
Keywords(s):  
Category(s): Wireless & Networking, Physical Science, Computing & Information Technology
A Scalable Laplacian Pyramid Reconstructive Adversarial Network for Flexible Compressive Sensing Reconstruction
Background Compressive sensing (CS) is a transformative sampling technique that allows sparse signals to be sampled in compressed form at a rate much lower than the Nyquist rate. However, conventional CS reconstruction techniques, based on either convex optimization or iterative methods, come with three drawbacks in imaging applications: (1) High complexity...
Published: 2/23/2023   |   Inventor(s): Fengbo Ren, Kai Xu, Zhikang Zhang
Keywords(s):  
Category(s): Physical Science, Imaging, Computing & Information Technology