Patents by Inventor Michael Isik

Michael Isik 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: 11983854
    Abstract: A plurality of pixel-based sampling points are identified within an image, wherein sampling points of a pixel are distributed within the pixel. For individual sampling points of individual pixels, a corresponding radiance vector is estimated. A radiance vector includes one or more radiance values characterizing light received at a sampling point. A first machine learning module generates, for each pixel, a corresponding intermediate radiance feature vector, based on the radiance vectors associated with the sampling points within that pixel. A second machine learning module generates, for each pixel, a corresponding final radiance feature vector, based on an intermediate radiance feature vector for that pixel, and one or more other intermediate radiance feature vectors for one or more other pixels neighboring that pixel. One or more kernels are generated, based on the final radiance feature vectors, and applied to corresponding pixels of the image, to generate a lower noise image.
    Type: Grant
    Filed: November 10, 2020
    Date of Patent: May 14, 2024
    Assignee: Adobe Inc.
    Inventors: Mustafa Isik, Michael Yanis Gharbi, Matthew David Fisher, Krishna Bhargava Mullia Lakshminarayana, Jonathan Eisenmann, Federico Perazzi
  • Patent number: 10166388
    Abstract: A system and method for the evaluation of hearing implant signal processing is described. A cochlear implant signal processor converts a speech signal input into multi-channel stimulation pulse sequences for a cochlear implant electrode array. A temporal feature processing module extracts temporal feature information from the stimulation pulse sequences. A speech recognition engine evaluates the temporal information using automatic speech recognition to produce speech recognition outputs corresponding to the speech signal input.
    Type: Grant
    Filed: October 6, 2014
    Date of Patent: January 1, 2019
    Assignees: MED-EL Elektromedizinische Geraete GmbH, Technische Universität München
    Inventors: Michael Isik, Werner Hemmert
  • Publication number: 20160235987
    Abstract: A system and method for the evaluation of hearing implant signal processing is described. A cochlear implant signal processor converts a speech signal input into multi-channel stimulation pulse sequences for a cochlear implant electrode array. A temporal feature processing module extracts temporal feature information from the stimulation pulse sequences. A speech recognition engine evaluates the temporal information using automatic speech recognition to produce speech recognition outputs corresponding to the speech signal input.
    Type: Application
    Filed: October 6, 2014
    Publication date: August 18, 2016
    Applicants: Technische Universität München, MED-EL Elektromedizinische Geraete GmbH
    Inventors: Michael Isik, Werner Hemmert