Patents by Inventor Anjing GUO

Anjing GUO 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).

  • High-resolution hyperspectral computational imaging method and system and medium
    Patent number: 12205243
    Abstract: The present invention discloses a high-resolution hyperspectral computational imaging method and system and a medium. The method of the present invention comprises: conducting spectral upsampling on an input RGB image Y to obtain an initial hyperspectral image X0; and inputting the initial hyperspectral image X0 into a pre-trained deep convolutional neural network guided by an imaging model, and conducting iteration computation to obtain a hyperspectral image X. The present invention can effectively achieve reconstruction of the RGB image to the high-resolution hyperspectral image and has the advantages of high reconstruction precision, high computational efficiency, little memory consumption and strong generalization ability.
    Type: Grant
    Filed: July 24, 2022
    Date of Patent: January 21, 2025
    Assignee: Hunan University
    Inventors: Shutao Li, Renwei Dian, Anjing Guo, Xudong Kang, Bin Sun, Leyuan Fang, Ting Lu
  • HIGH-RESOLUTION HYPERSPECTRAL COMPUTATIONAL IMAGING METHOD AND SYSTEM AND MEDIUM
    Publication number: 20220366536
    Abstract: The present invention discloses a high-resolution hyperspectral computational imaging method and system and a medium. The method of the present invention comprises: conducting spectral upsampling on an input RGB image Y to obtain an initial hyperspectral image X0; and inputting the initial hyperspectral image X0 into a pre-trained deep convolutional neural network guided by an imaging model, and conducting iteration computation to obtain a hyperspectral image X. The present invention can effectively achieve reconstruction of the RGB image to the high-resolution hyperspectral image and has the advantages of high reconstruction precision, high computational efficiency, little memory consumption and strong generalization ability.
    Type: Application
    Filed: July 24, 2022
    Publication date: November 17, 2022
    Applicant: Hunan University
    Inventors: Shutao LI, Renwei DIAN, Anjing GUO, Xudong KANG, Bin SUN, Leyuan FANG, Ting LU