Patents by Inventor Jingfei HU

Jingfei HU 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: 11954939
    Abstract: An electronic device (200) includes a liquid crystal display (LCD) panel (204), a cover layer (218), one or more light sources (224), and an optical sensor module (226). The LCD panel (204) receives a contact input associated with a fingerprint of a user. The cover layer (218) includes a first major surface (228) and a second major surface (230) opposite to the first major surface (228), and is disposed on the LCD panel (204). The cover layer (218) defines a first axis (AA?) normal to the first major surface (228). The optical sensor module (226) receives a light from the predetermined fingerprint sensing area (222) to detect the fingerprint. The optical sensor module (226) at least partially overlaps with the predetermined fingerprint sensing area (222) along the plane of the first major surface (228). The optical sensor module (226) defines a second axis (BB?) normal to a surface of the optical sensor module (226).
    Type: Grant
    Filed: July 23, 2020
    Date of Patent: April 9, 2024
    Assignee: 3M INNOVATIVE PROPERTIES COMPANY
    Inventors: Jingfei Chen, Huijie Xie, Fan Long, Yan Yan Zhang, Zhe Hu
  • Publication number: 20240062343
    Abstract: An image restoration method, apparatus and device, and a storage medium are provided. The method comprises: evaluating, by an unsharpness evaluation network, an image to be processed, to generate an a feature map; inputting said image to be processed and the unsharpness feature map into a blur elimination main network; and iteratively processing, by the blur elimination main network, the image to be processed for a set number of times according to the unsharpness feature map to output a restored image. In the above-mentioned technical solution, an unsharpness feature of an image to be processed is extracted by using an unsharpness evaluation network, and iterative processing is performed on said image to be processed by using a blur elimination main network, where the networks are trained networks having corresponding functions, such that automatic restoration of an image can be realized, and image restoration efficiency and quality are improved.
    Type: Application
    Filed: December 29, 2021
    Publication date: February 22, 2024
    Applicant: HEFEI INNOVATION RESEARCH INSTITUTE OF BEIHANG UNIVERISTY
    Inventors: Jicong Zhang, Hua WANG, Jingfei HU, Zhaohui CAO, Guang WU