Patents by Inventor Zong Ben Xu

Zong Ben Xu 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).

  • Single image super-resolution method using transform-invariant directional total variation with S½+L½-norm
    Patent number: 9600861
    Abstract: A super-resolution method for generating a high-resolution (HR) image from a low-resolution (LR) blurred image is provided. The method is based on a transform-invariant directional total variation (TI-DTV) approach with Schattenp=1/2 (S1/2-norm) and L1/2-norm penalties. The S1/2-norm and the L1/2-norm are used to induce a lower-rank component and a sparse component of the LR blurred image so as to determine an affine transform to be adopted in the TI-DTV approach. In particular, the affine transform is determined such that a weighted sum of the S1/2-norm and the L1/2-norm is substantially minimized. Based on the alternating direction method of multipliers (ADMM), an iterative algorithm is developed to determine the affine transform. The determined affine transform is used to transform a candidate HR image to a transformed image used in computing a directional total variation (DTV), which is involved in determining the HR image.
    Type: Grant
    Filed: August 25, 2015
    Date of Patent: March 21, 2017
    Assignee: Macau University of Science and Technology
    Inventors: Yong Liang, Zong Ben Xu, Liang-Yong Xia, Xiao-Ying Liu
  • Single Image Super-Resolution Method Using Transform-Invariant Directional Total Variation with S1/2+L1/2-norm
    Publication number: 20170024855
    Abstract: A super-resolution method for generating a high-resolution (HR) image from a low-resolution (LR) blurred image is provided. The method is based on a transform-invariant directional total variation (TI-DTV) approach with Schattenp=1/2 (S1/2-norm) and L1/2-norm penalties. The S1/2-norm and the L1/2-norm are used to induce a lower-rank component and a sparse component of the LR blurred image so as to determine an affine transform to be adopted in the TI-DTV approach. In particular, the affine transform is determined such that a weighted sum of the S1/2-norm and the L1/2-norm is substantially minimized. Based on the alternating direction method of multipliers (ADMM), an iterative algorithm is developed to determine the affine transform. The determined affine transform is used to transform a candidate HR image to a transformed image used in computing a directional total variation (DTV), which is involved in determining the HR image.
    Type: Application
    Filed: August 25, 2015
    Publication date: January 26, 2017
    Inventors: Yong Liang, Zong Ben Xu, Liang-Yong Xia, Xiao-Ying Liu