Patents by Inventor Zhixiong PI

Zhixiong PI 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).

  • Method and system for selecting image region that facilitates blur kernel estimation
    Patent number: 11093778
    Abstract: The present invention discloses a method and system for selecting an image region that facilitates blur kernel estimation, in which the method includes: calculating a relative total variation value of each pixel in a blurred image to obtain a relative total variation mapping image; setting a threshold value to determine whether respective pixel in the image is a boundary pixel or not; then sampling the blurred image and its relative total variation mapping image to obtain a series of image patches; and finally counting the number of boundary pixels in each mapping image patch and selecting out an image region that facilitates blur kernel estimation. According to the method and the system, the problems of excessive dependency on operator experience, low efficiency and the like in the existing region selection methods are effectively solved. The image region that facilitates blur kernel estimation is automatically selected out.
    Type: Grant
    Filed: January 8, 2018
    Date of Patent: August 17, 2021
    Assignee: HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY
    Inventors: Nong Sang, Lerenhan Li, Hao Yan, Changxin Gao, Luxin Yan, Shiwei Zhang, Zhixiong Pi
  • METHOD AND SYSTEM FOR SELECTING IMAGE REGION THAT FACILITATES BLUR KERNEL ESTIMATION
    Publication number: 20210192251
    Abstract: The present invention discloses a method and system for selecting an image region that facilitates blur kernel estimation, in which the method includes: calculating a relative total variation value of each pixel in a blurred image to obtain a relative total variation mapping image; setting a threshold value to determine whether respective pixel in the image is a boundary pixel or not; then sampling the blurred image and its relative total variation mapping image to obtain a series of image patches; and finally counting the number of boundary pixels in each mapping image patch and selecting out an image region that facilitates blur kernel estimation. According to the method and the system, the problems of excessive dependency on operator experience, low efficiency and the like in the existing region selection methods are effectively solved. The image region that facilitates blur kernel estimation is automatically selected out.
    Type: Application
    Filed: January 8, 2018
    Publication date: June 24, 2021
    Applicant: HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY
    Inventors: Nong SANG, Lerenhan LI, Hao YAN, Changxin GAO, Luxin YAN, Shiwei ZHANG, Zhixiong PI