Patents by Inventor Robert D. W. Fergus

Robert D. W. Fergus 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).

  • Removing camera shake from a single photograph using statistics of a natural image
    Patent number: 7616826
    Abstract: A computer method and system for deblurring an image is provided. The invention method and system of deblurring employs statistics on distribution of intensity gradients of a known model. The known model is based on a natural image which may be unrelated to the subject image to be deblurred by the system. Given a subject image having blur, the invention method/system estimates a blur kernel and a solution image portion corresponding to a sample area of the subject image, by applying the statistics to intensity gradients of the sample area and solving for most probable solution image. The estimation process is carried out at multiple scales and results in a blur kernel. In a last step, the subject image is deconvolved image using the resulting blur kernel. The deconvolution generates a deblurred image corresponding to the subject image.
    Type: Grant
    Filed: July 28, 2006
    Date of Patent: November 10, 2009
    Assignees: Massachusetts Institute of Technology, University of Toronto
    Inventors: William T. Freeman, Robert D. W. Fergus, Barun Singh, Aaron Phillip Hertzmann, Sam T. Roweis
  • Removing camera shake from a single photograph
    Publication number: 20080025627
    Abstract: A computer method and system for deblurring an image is provided. The invention method and system of deblurring employs statistics on distribution of intensity gradients of a known model. The known model is based on a natural image which may be unrelated to the subject image to be deblurred by the system. Given a subject image having blur, the invention method/system estimates a blur kernel and a solution image portion corresponding to a sample area of the subject image, by applying the statistics to intensity gradients of the sample area and solving for most probable solution image. The estimation process is carried out at multiple scales and results in a blur kernel. In a last step, the subject image is deconvolved image using the resulting blur kernel. The deconvolution generates a deblurred image corresponding to the subject image.
    Type: Application
    Filed: July 28, 2006
    Publication date: January 31, 2008
    Applicants: Massachusetts Institute of Technology, University of Toronto
    Inventors: William T. Freeman, Robert D.W. Fergus, Barun Singh, Aaron Phillip Hertzmann, Sam T. Roweis