Patents by Inventor Iurii Gennadievich FETISOV

Iurii Gennadievich FETISOV 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).

  • Method and device for joint denoising and demosaicing using neural network
    Patent number: 11948279
    Abstract: A method of joint denoising and demosaicing using a neural network to generate an output image and to a computing device for implementing the method is provided. The method includes obtaining image data collected by a color filter array (CFA), and jointly performing denoising and demosaicing on the CFA image data using a trained neural network to generate an output image, wherein the neural network has a lightweight U-Net architecture and is trained on a plurality of pairs of training images. One image in each pair of training images is obtained with a lower ISO value than another image in the pair of training images, and is processed by a processing algorithm (image signal processor (ISP)), and the other image in each pair of training images is in a format of CFA image data.
    Type: Grant
    Filed: November 18, 2021
    Date of Patent: April 2, 2024
    Assignee: Samsung Electronics Co., Ltd.
    Inventors: Vladimir Gennadievich Kurmanov, Iurii Gennadievich Fetisov, Xenya Yurievna Petrova, Ivan Olegovich Karacharov, Kirill Victorovich Lebedev
  • METHOD AND DEVICE FOR JOINT DENOISING AND DEMOSAICING USING NEURAL NETWORK
    Publication number: 20220164926
    Abstract: A method of joint denoising and demosaicing using a neural network to generate an output image and to a computing device for implementing the method is provided. The method includes obtaining image data collected by a color filter array (CFA), and jointly performing denoising and demosaicing on the CFA image data using a trained neural network to generate an output image, wherein the neural network has a lightweight U-Net architecture and is trained on a plurality of pairs of training images. One image in each pair of training images is obtained with a lower ISO value than another image in the pair of training images, and is processed by a processing algorithm (image signal processor (ISP)), and the other image in each pair of training images is in a format of CFA image data.
    Type: Application
    Filed: November 18, 2021
    Publication date: May 26, 2022
    Inventors: Vladimir Gennadievich KURMANOV, Iurii Gennadievich FETISOV, Xenya Yurievna PETROVA, Ivan Olegovich KARACHAROV, Kirill Victorovich LEBEDEV