Patents by Inventor Nikolay Dmitrievich Egorov

Nikolay Dmitrievich Egorov 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).

  • Complexity-adaptive compression of color images using binary arithmetic coding
    Patent number: 9615111
    Abstract: An improved technique of compressing image data involves separating a prediction error of image data into distinct factors and applying a separate set of context models to each factor. Such factors may take the form of a sign, a bit category, and a relative absolute value of the prediction error. For each factor, the improved technique provides a set of context models and a procedure for selecting a context model from each respective set. The context model for each factor determines a probability distribution of symbols that may represent that factor, which in turn enables compression of the prediction error. Additionally, the symbols that represent certain factors into which the prediction error is separated result from a binary representation whose form—either unary or uniform—depends on the size of the prediction error.
    Type: Grant
    Filed: September 29, 2014
    Date of Patent: April 4, 2017
    Assignee: EMC IP Holding Company LLC
    Inventors: Vasily Olegovich Zalunin, Marat Ravilevich Gilmutdinov, Nikolay Dmitrievich Egorov
  • COMPLEXITY-ADAPTIVE COMPRESSION OF COLOR IMAGES USING BINARY ARITHMETIC CODING
    Publication number: 20160366446
    Abstract: An improved technique of compressing image data involves separating a prediction error of image data into distinct factors and applying a separate set of context models to each factor. Such factors may take the form of a sign, a bit category, and a relative absolute value of the prediction error. For each factor, the improved technique provides a set of context models and a procedure for selecting a context model from each respective set. The context model for each factor determines a probability distribution of symbols that may represent that factor, which in turn enables compression of the prediction error. Additionally, the symbols that represent certain factors into which the prediction error is separated result from a binary representation whose form—either unary or uniform—depends on the size of the prediction error.
    Type: Application
    Filed: September 29, 2014
    Publication date: December 15, 2016
    Applicant: EMC Corporation
    Inventors: Vasily Olegovich Zalunin, Marat Ravilevich Gilmutdinov, Nikolay Dmitrievich Egorov
  • Lossless color image compression adaptively using spatial prediction or inter-component prediction
    Patent number: 9232222
    Abstract: An improved lossless image compression technique involves adaptively selecting between spatial prediction and inter-component prediction techniques depending on which allows better results for any given component of a digital image pixel.
    Type: Grant
    Filed: March 15, 2013
    Date of Patent: January 5, 2016
    Assignee: EMC Corporation
    Inventors: Alexey Valentinovich Romanovskiy, Marat Ravilevich Gilmutdinov, Nikolay Dmitrievich Egorov, Victor Anatolievich Yastrebov, Dmitry Vadimovich Novikov, Roman Alexandrovich Sokolovskiy
  • LOSSLESS COLOR IMAGE COMPRESSION ADAPTIVELY USING SPATIAL PREDICTION OR INTER-COMPONENT PREDICTION
    Publication number: 20150146975
    Abstract: An improved lossless image compression technique involves adaptively selecting between spatial prediction and inter-component prediction techniques depending on which allows better results for any given component of a digital image pixel.
    Type: Application
    Filed: March 15, 2013
    Publication date: May 28, 2015
    Inventors: Alexey Valentinovich Romanovskiy, Marat Ravilevich Gilmutdinov, Nikolay Dmitrievich Egorov, Victor Anatolievich Yastrebov, Dmitry Vadimovich Novikov, Roman Alexandrovich Sokolovskiy