Patents by Inventor Guney Kayim

Guney Kayim 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: 12014478
    Abstract: A method, processor, and computer readable medium for generating blended intensity data for processing by a further processor, the method comprising the steps of generating a local contrast map based on image data, the local contrast map comprising a plurality of contrast values. An alpha mask is generated by associating an alpha mask value to each contrast value. First intensity data based on the image data using a first intensity calculation method and second intensity data based on the image data using a second intensity calculation method are also generated. The blended intensity data is generated by blending from at least one of the first intensity data and the second intensity data based on the alpha mask values; and outputted to the further processor.
    Type: Grant
    Filed: January 22, 2021
    Date of Patent: June 18, 2024
    Assignee: ARM LIMITED
    Inventors: Liam James O'Neil, Yanxiang Wang, Güney Kayim, Alexis Leonardo Lluis Gomez
  • Patent number: 11616937
    Abstract: When a producer processing unit, such as a video decoder, of a media processing system is producing a data output for use by a consumer processing unit, such as a display processor, the producer processing unit also generates metadata for the data output that it is producing and provides that metadata for use by the consumer processing unit. The consumer processing unit then uses the metadata provided by the producer processing unit when processing the data output to which the metadata relates.
    Type: Grant
    Filed: May 13, 2019
    Date of Patent: March 28, 2023
    Assignee: Arm Limited
    Inventors: Damian Piotr Modrzyk, Viacheslav Chesnokov, Sven Ola Johannes Hugosson, Alex Kornienko, Guney Kayim, Ertunc Erdil, Dominic Hugo Symes, Brian Paul Starkey, Michal Karol Bogusz
  • Publication number: 20220237753
    Abstract: A method, processor, and computer readable medium for generating blended intensity data for processing by a further processor, the method comprising the steps of generating a local contrast map based on image data, the local contrast map comprising a plurality of contrast values. An alpha mask is generated by associating an alpha mask value to each contrast value. First intensity data based on the image data using a first intensity calculation method and second intensity data based on the image data using a second intensity calculation method are also generated. The blended intensity data is generated by blending from at least one of the first intensity data and the second intensity data based on the alpha mask values; and outputted to the further processor.
    Type: Application
    Filed: January 22, 2021
    Publication date: July 28, 2022
    Inventors: Liam James O'NEIL, Yanxiang WANG, Güney KAYIM, Alexis Leonardo Lluis GOMEZ
  • Patent number: 11301973
    Abstract: A method of performing tone mapping in a stream of images (Fr1 . . . N) includes, for each image (FrN) in the stream: sparsely reading image data values (IDN) corresponding to the image (FrN) to provide sparse image data from a plurality of sparsely distributed positions (Pos1 . . . k) in the image (FrN); generating, based on the sparse image data, tone mapping parameters of a tone mapping algorithm (TMA) for each position in the image (FrN); each position in the image (FrN) including the sparsely distributed positions (Pos1 . . . k) and a plurality of further positions (PosF1 . . . j) in the image (FrN); reading the image data values (IDN) corresponding to the image (FrN) to provide image data from each position in the image (FrN); and tone mapping the image by mapping the image data from each position in the image (FrN) to adjusted image data using the generated tone mapping parameters.
    Type: Grant
    Filed: March 30, 2020
    Date of Patent: April 12, 2022
    Assignees: Arm Limited, Apical Limited
    Inventors: Brian Paul Starkey, Damian Piotr Modrzyk, Güney Kayim, Lukas Krasula
  • Publication number: 20210304374
    Abstract: A method of performing tone mapping in a stream of images (Fr1 . . . N) includes, for each image (FrN) in the stream: sparsely reading image data values (IDN) corresponding to the image (FrN) to provide sparse image data from a plurality of sparsely distributed positions (Pos1 . . . k) in the image (FrN); generating, based on the sparse image data, tone mapping parameters of a tone mapping algorithm (TMA) for each position in the image (FrN); each position in the image (FrN) including the sparsely distributed positions (Pos1 . . . k) and a plurality of further positions (PosF1 . . . j) in the image (FrN); reading the image data values (IDN) corresponding to the image (FrN) to provide image data from each position in the image (FrN); and tone mapping the image by mapping the image data from each position in the image (FrN) to adjusted image data using the generated tone mapping parameters.
    Type: Application
    Filed: March 30, 2020
    Publication date: September 30, 2021
    Inventors: Brian Paul STARKEY, Damian Piotr MODRZYK, Güney KAYIM, Lukas KRASULA
  • Publication number: 20190349558
    Abstract: When a producer processing unit, such as a video decoder, of a media processing system is producing a data output for use by a consumer processing unit, such as a display processor, the producer processing unit also generates metadata for the data output that it is producing and provides that metadata for use by the consumer processing unit. The consumer processing unit then uses the metadata provided by the producer processing unit when processing the data output to which the metadata relates.
    Type: Application
    Filed: May 13, 2019
    Publication date: November 14, 2019
    Applicants: Arm Limited, Apical Limited
    Inventors: Damian Piotr Modrzyk, Viacheslav Chesnokov, Sven Ola Johannes Hugosson, Alex Kornienko, Guney Kayim, Ertunc Erdil, Dominic Hugo Symes, Brian Paul Starkey, Michal Karol Bogusz