Patents by Inventor Haichuan MA

Haichuan MA 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).

  • Image encoding/decoding method and apparatus based on wavelet transform
    Patent number: 12175713
    Abstract: The present disclosure provides an image decoding method based on a wavelet transform. The method includes: performing entropy decoding on the compressed bitstream to obtain a reconstructed wavelet coefficient; dequantizing the reconstructed wavelet coefficient to obtain a dequantized wavelet coefficient; and performing N inverse wavelet transforms on the dequantized wavelet coefficient based on the wavelet transform model to obtain a reconstructed image, where the wavelet transform model is implemented based on a convolutional neural network (CNN).
    Type: Grant
    Filed: January 14, 2022
    Date of Patent: December 24, 2024
    Assignees: Huawei Technologies Co., Ltd., University of Science and Technology of China
    Inventors: Feng Wu, Haichuan Ma, Dong Liu, Haitao Yang
  • IMAGE ENCODING/DECODING METHOD AND APPARATUS BASED ON WAVELET TRANSFORM
    Publication number: 20220138992
    Abstract: The present disclosure provides an image decoding method based on a wavelet transform. The method includes: performing entropy decoding on the compressed bitstream to obtain a reconstructed wavelet coefficient; dequantizing the reconstructed wavelet coefficient to obtain a dequantized wavelet coefficient; and performing N inverse wavelet transforms on the dequantized wavelet coefficient based on the wavelet transform model to obtain a reconstructed image, where the wavelet transform model is implemented based on a convolutional neural network (CNN).
    Type: Application
    Filed: January 14, 2022
    Publication date: May 5, 2022
    Inventors: Feng WU, Haichuan MA, Dong LIU, Haitao YANG