Patents by Inventor YANCHAO GONG

YANCHAO GONG 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).

  • Multi-exposure image fusion method based on feature distribution weight of multi-exposure image
    Patent number: 11763432
    Abstract: The present disclosure provides a multi-exposure image fusion (MEF) method based on a feature distribution weight of a multi-exposure image, including: performing color space transformation (CST) on an image, determining a luminance distribution weight of the image, determining an exposure distribution weight of the image, determining a local gradient weight of the image, determining a final weight, and determining a fused image. The present disclosure combines the luminance distribution weight of the image, the exposure distribution weight of the image and the local gradient weight of the image to obtain the final weight, and fuses the input image and the weight with the existing pyramid-based multi-resolution fusion method to obtain the fused image, thereby solving the technical problem that an existing MEF method does not consider the overall feature distribution of the multi-exposure image.
    Type: Grant
    Filed: February 24, 2022
    Date of Patent: September 19, 2023
    Assignee: XI'AN UNIVERSITY OF POSTS & TELECOMMUNICATIONS
    Inventors: Weihua Liu, Biyan Ma, Ying Liu, Yanchao Gong, Fuping Wang
  • MULTI-EXPOSURE IMAGE FUSION METHOD BASED ON FEATURE DISTRIBUTION WEIGHT OF MULTI-EXPOSURE IMAGE
    Publication number: 20220351344
    Abstract: The present disclosure provides a multi-exposure image fusion (MEF) method based on a feature distribution weight of a multi-exposure image, including: performing color space transformation (CST) on an image, determining a luminance distribution weight of the image, determining an exposure distribution weight of the image, determining a local gradient weight of the image, determining a final weight, and determining a fused image. The present disclosure combines the luminance distribution weight of the image, the exposure distribution weight of the image and the local gradient weight of the image to obtain the final weight, and fuses the input image and the weight with the existing pyramid-based multi-resolution fusion method to obtain the fused image, thereby solving the technical problem that an existing MEF method does not consider the overall feature distribution of the multi-exposure image.
    Type: Application
    Filed: February 24, 2022
    Publication date: November 3, 2022
    Inventors: WEIHUA LIU, BIYAN MA, YING LIU, YANCHAO GONG, FUPING WANG