Patents by Inventor Ao ZHONG

Ao ZHONG has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 11788851
    Abstract: In some embodiments, an electronic device displays suggested routes based on the characteristics of respective vehicles. In some embodiments, an electronic device receives data for respective vehicles from a source external to the electronic device. In some embodiments, an electronic device anonymizes a vehicle identifier and determines customized suggested routes using the anonymized vehicle identifier.
    Type: Grant
    Filed: September 22, 2020
    Date of Patent: October 17, 2023
    Assignee: Apple Inc.
    Inventors: Yun Jae Kim, Brian J. Andrich, Ting-Yuan Wu, Christopher Y. Tremblay, Sean M. Meiners, Brandon J. Van Ryswyk, Song Yang, Jin'ao Zhong, Kun Chen, Amanda Y. Miyahira
  • Patent number: 10521888
    Abstract: An aerothermal-radiation correction method, including: using a Gaussian surface to approximate a thermal radiation noise, performing a Fourier transform on the Gaussian surface so as to obtain a centralized spectrum of the thermal radiation noise, constructing a filter function H based on the centralized spectrum of the thermal radiation noise; performing a Fourier transform on the aerothermal-radiation degraded image f so as to obtain a centralized spectrum F, taking dot product of F and H to obtain a filtered spectrum G; and performing an inverse Fourier transform on filtered spectrum G to obtain a modulus, and acquire a corrected image. The method effectively removes background noise generated by aerothermal radiation, greatly improves image quality and image signal-to-noise ratio. The method features reduced computational complexity and a shorter operation time, and is suited for real-time processing.
    Type: Grant
    Filed: March 20, 2019
    Date of Patent: December 31, 2019
    Assignee: HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY
    Inventors: Tianxu Zhang, Xuan Hou, Chuan Zhang, Li Liu, Quan Chen, Ao Zhong, Mingxing Xu, Yutian Zhou
  • Publication number: 20190220958
    Abstract: An aerothermal-radiation correction method, including: using a Gaussian surface to approximate a thermal radiation noise, performing a Fourier transform on the Gaussian surface so as to obtain a centralized spectrum of the thermal radiation noise, constructing a filter function H based on the centralized spectrum of the thermal radiation noise; performing a Fourier transform on the aerothermal-radiation degraded image f so as to obtain a centralized spectrum F, taking dot product of F and H to obtain a filtered spectrum G; and performing an inverse Fourier transform on filtered spectrum G to obtain a modulus, and acquire a corrected image. The method effectively removes background noise generated by aerothermal radiation, greatly improves image quality and image signal-to-noise ratio. The method features reduced computational complexity and a shorter operation time, and is suited for real-time processing.
    Type: Application
    Filed: March 20, 2019
    Publication date: July 18, 2019
    Inventors: Tianxu ZHANG, Xuan HOU, Chuan ZHANG, Li LIU, Quan CHEN, Ao ZHONG, Mingxing XU, Yutian ZHOU
  • Patent number: 10297013
    Abstract: An aerodynamic optical effect correction and identification integrated real-time processing system, comprising an FPGA module, a multi-core main processor DSP, a plurality of auxiliary processors ASICs and an infrared image non-uniformity correction system-on-chip (SoC). By means of the system, full-image thermal radiation correction, denoising, transmission effect correction and target detection processes of an aerodynamic optical effect degradation image are achieved. Correspondingly, provided is the corresponding method.
    Type: Grant
    Filed: April 13, 2016
    Date of Patent: May 21, 2019
    Assignee: HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY
    Inventors: Tianxu Zhang, Xuan Hou, Chuan Zhang, Li Liu, Quan Chen, Ao Zhong, Mingxing Xu, Yutian Zhou
  • Publication number: 20180350041
    Abstract: An aerothermal radiation effect frequency domain correction method, comprising: use a Gaussian surface to approximate a thermal radiation noise, perform a Fourier transform on the thermal radiation noise to obtain an amplitude spectrum, then normalize and segment the amplitude spectrum to obtain a filter thresholding template, BW, then use the filter thresholding template, BW, to construct a filter function, H; perform a Fourier transform on an image degraded by aerodynamic thermal radiation, f, to obtain a centralized frequency spectrum, F, then take the dot product of F and H to obtain a real-time image frequency spectrum, G; and perform an inverse Fourier transform on G to obtain a modulus, and acquire an image corrected for thermal radiation, g. Using the method effectively removes background noise generated by aerothermal radiation to restore a clear image, greatly improving image quality and image signal-to-noise ratio.
    Type: Application
    Filed: April 13, 2016
    Publication date: December 6, 2018
    Inventors: Tianxu ZHANG, Xuan HOU, Chuan ZHANG, Li LIU, Quan CHEN, Ao ZHONG, Mingxing XU, Yutian ZHOU
  • Patent number: 10127641
    Abstract: Disclosed in the present invention is a contrast constrained aerothermal radiation correction method. By analyzing features of images at different intensities of aerothermal radiation, it has been discovered that the stronger the aerothermal radiation effect is, the smaller the image contrast becomes, and when thermal radiation correction is performed using a gradient fitting algorithm, it has been discovered that time consumption thereof grows exponentially with an increase in a degree of a fitting surface and with an increase in an image size. The present invention can rapidly and effectively restore an aerothermal radiation image, remarkably improving a signal to noise ratio and quality of the image.
    Type: Grant
    Filed: April 13, 2016
    Date of Patent: November 13, 2018
    Assignee: HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY
    Inventors: Tianxu Zhang, Chuan Zhang, Xuan Hou, Li Liu, Quan Chen, Ao Zhong, Mingxing Xu, Yutian Zhou
  • Publication number: 20180293709
    Abstract: An aerodynamic optical effect correction and identification integrated real-time processing system, comprising an FPGA module, a multi-core main processor DSP, a plurality of auxiliary processors ASICs and an infrared image non-uniformity correction system-on-chip (SoC). By means of the system, full-image thermal radiation correction, denoising, transmission effect correction and target detection processes of an aerodynamic optical effect degradation image are achieved. Correspondingly, provided is the corresponding method.
    Type: Application
    Filed: April 13, 2016
    Publication date: October 11, 2018
    Inventors: Tianxu ZHANG, Xuan HOU, Chuan ZHANG, Li LIU, Quan CHEN, Ao ZHONG, Mingxing XU, Yutian ZHOU
  • Publication number: 20180286017
    Abstract: Disclosed in the present invention is a contrast constrained aerothermal radiation correction method. By analyzing features of images at different intensities of aerothermal radiation, it has been discovered that the stronger the aerothermal radiation effect is, the smaller the image contrast becomes, and when thermal radiation correction is performed using a gradient fitting algorithm, it has been discovered that time consumption thereof grows exponentially with an increase in a degree of a fitting surface and with an increase in an image size. The present invention can rapidly and effectively restore an aerothermal radiation image, remarkably improving a signal to noise ratio and quality of the image.
    Type: Application
    Filed: April 13, 2016
    Publication date: October 4, 2018
    Inventors: Tianxu ZHANG, Chuan ZHANG, Xuan HOU, Li LIU, Quan CHEN, Ao ZHONG, Mingxing XU, Yutian ZHOU
  • Patent number: 9582862
    Abstract: The invention discloses a direction-adaptive image deblurring method, comprising steps of: (1) defining a minimum cost function for deblurring an image by direction-adaptive total variation regularization; (2) converting the unconstrained minimization problem in step (1) to a constrained problem by auxiliary variables d1=Hu, d2=?xu and d3=?yu; (3) obtaining a new minimum cost function from the constrained problem in step (2) by introducing penalty terms; and (4) converting the minimization problem in step (3) to an alternating minimization problem about u, d1, d2 and d3, where a minimum of a variable is calculated as other variables are determined, and obtaining a deblurred image by solving the alternating minimization problem by an alternative and iterative minimization process.
    Type: Grant
    Filed: February 10, 2015
    Date of Patent: February 28, 2017
    Assignee: Huazhong University of Science and Technology
    Inventors: Tianxu Zhang, Gang Zhou, Ao Zhong, Liangliang Wang, Ming Li, Cen Lu, Wen Zhang, Zhiyong Zuo
  • Publication number: 20160321788
    Abstract: The invention discloses a direction-adaptive image deblurring method, comprising steps of: (1) defining a minimum cost function for deblurring an image by direction-adaptive total variation regularization; (2) converting the unconstrained minimization problem in step (1) to a constrained problem by auxiliary variables d1=Hu, d2=?xu and d3=?yu; (3) obtaining a new minimum cost function from the constrained problem in step (2) by introducing penalty terms; and (4) converting the minimization problem in step (3) to an alternating minimization problem about u, d1, d2 and d3, where a minimum of a variable is calculated as other variables are determined, and obtaining a deblurred image by solving the alternating minimization problem by an alternative and iterative minimization process.
    Type: Application
    Filed: February 10, 2015
    Publication date: November 3, 2016
    Applicant: Huazhong University of Science and Technology
    Inventors: Tianxu ZHANG, Gang ZHOU, Ao ZHONG, Liangliang WANG, Ming LI, Cen LU, Wen ZHANG, Zhiyong ZUO