Patents by Inventor Yuandi SHI

Yuandi SHI 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: 12118096
    Abstract: The present disclosure discloses an image encryption method based on multi-scale compressed sensing and a Markov model. According to the difference in information carried by low-frequency coefficients and high-frequency coefficients of an image, different sampling rates are set for the low-frequency coefficients and the high-frequency coefficients of the image, which can effectively improve the reconstruction quality of a decrypted image. The decrypted image obtained by the present disclosure has higher quality than the decrypted image generated by the existing scheme, and a better visual effect and more complete original image information can be obtained.
    Type: Grant
    Filed: September 20, 2022
    Date of Patent: October 15, 2024
    Assignee: DALIAN UNIVERSITY OF TECHNOLOGY
    Inventors: Qiang Zhang, Bin Wang, Pengfei Wang, Yuandi Shi, Rongrong Chen, Xiaopeng Wei
  • Publication number: 20240137207
    Abstract: The present disclosure discloses a method for encrypting a visually secure image based on adaptive block compressed sensing and non-negative matrix decomposition. Firstly, the Tetrolet transform is performed on the plain image, then the sparsity degree is optimized on the sparsity matrix and the matrix scrambling is performed, such that the sparsity degree in each block region of the image matrix is equalized. Then according to the image information, the sampling number of the block region is calculated, the measurement matrix is constructed and optimized, and the image is compressed by using the optimized measurement matrix. The compressed image is then scrambled and diffused to complete the encryption process. Finally, the image information is embedded into the carrier image through non-negative matrix decomposition to obtain a visually safe ciphertext image. The decryption process is the inverse of the encryption process.
    Type: Application
    Filed: October 30, 2023
    Publication date: April 25, 2024
    Applicant: DALIAN UNIVERSITY
    Inventors: Qiang ZHANG, Bin WANG, YuanDi SHI, XiaoPeng WEI
  • Publication number: 20230092977
    Abstract: The present disclosure discloses an image encryption method based on multi-scale compressed sensing and a Markov model. According to the difference in information carried by low-frequency coefficients and high-frequency coefficients of an image, different sampling rates are set for the low-frequency coefficients and the high-frequency coefficients of the image, which can effectively improve the reconstruction quality of a decrypted image. The decrypted image obtained by the present disclosure has higher quality than the decrypted image generated by the existing scheme, and a better visual effect and more complete original image information can be obtained.
    Type: Application
    Filed: September 20, 2022
    Publication date: March 23, 2023
    Applicant: DALIAN UNlVERSITY OF TECHNOLOGY
    Inventors: Qiang ZHANG, Bin WANG, Pengfei WANG, Yuandi SHI, Rongrong CHEN, Xiaopeng WEI