Patents by Inventor Alexander Efremov

Alexander Efremov 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: 10931961
    Abstract: A method for encoding high dynamic range (HDR) images involves providing a lower dynamic range (LDR) image, generating a prediction function for estimating the values for pixels in the HDR image based on the values of corresponding pixels in the LDR image, and obtaining a residual frame based on differences between the pixel values of the HDR image and estimated pixel values. The LDR image, prediction function and residual frame can all be encoded in data from which either the LDR image of HDR image can be recreated.
    Type: Grant
    Filed: October 15, 2018
    Date of Patent: February 23, 2021
    Assignee: Max-Planck-Gesellschaft Zur Forderung Der Wissenschaften E.V.
    Inventors: Alexander Efremov, Rafal Mantiuk, Grzegorz Krawczyk, Karol Myszkowski, Hans-Peter Seidel
  • Publication number: 20190052892
    Abstract: A method for encoding high dynamic range (HDR) images involves providing a lower dynamic range (LDR) image, generating a prediction function for estimating the values for pixels in the HDR image based on the values of corresponding pixels in the LDR image, and obtaining a residual frame based on differences between the pixel values of the HDR image and estimated pixel values. The LDR image, prediction function and residual frame can all be encoded in data from which either the LDR image of HDR image can be recreated.
    Type: Application
    Filed: October 15, 2018
    Publication date: February 14, 2019
    Applicant: MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN E.V.
    Inventors: Alexander EFREMOV, Rafal MANTIUK, Grzegorz KRAWCZYK, Karol MYSZKOWSKI, Hans-Peter SEIDEL
  • Patent number: 10165297
    Abstract: A method for encoding high dynamic range (HDR) images involves providing a lower dynamic range (LDR) image, generating a prediction function for estimating the values for pixels in the HDR image based on the values of corresponding pixels in the LDR image, and obtaining a residual frame based on differences between the pixel values of the HDR image and estimated pixel values. The LDR image, prediction function and residual frame can all be encoded in data from which either the LDR image of HDR image can be recreated.
    Type: Grant
    Filed: November 30, 2017
    Date of Patent: December 25, 2018
    Assignee: Max-Planck-Gesellschaft Zur Forderung Der Wissenschaften E.V.
    Inventors: Alexander Efremov, Rafal Mantiuk, Grzegorz Krawczyk, Karol Myszkowski, Hans-Peter Seidel
  • Publication number: 20180103263
    Abstract: A method for encoding high dynamic range (HDR) images involves providing a lower dynamic range (LDR) image, generating a prediction function for estimating the values for pixels in the HDR image based on the values of corresponding pixels in the LDR image, and obtaining a residual frame based on differences between the pixel values of the HDR image and estimated pixel values. The LDR image, prediction function and residual frame can all be encoded in data from which either the LDR image of HDR image can be recreated.
    Type: Application
    Filed: November 30, 2017
    Publication date: April 12, 2018
    Inventors: Alexander EFREMOV, Rafal MANTIUK, Grzegorz KRAWCZYK, Karol MYSZKOWSKI, Hans-Peter SEIDEL
  • Patent number: 9894374
    Abstract: A method for encoding high dynamic range (HDR) images involves providing a lower dynamic range (LDR) image, generating a prediction function for estimating the values for pixels in the HDR image based on the values of corresponding pixels in the LDR image, and obtaining a residual frame based on differences between the pixel values of the HDR image and estimated pixel values. The LDR image, prediction function and residual frame can all be encoded in data from which either the LDR image of HDR image can be recreated.
    Type: Grant
    Filed: October 21, 2016
    Date of Patent: February 13, 2018
    Assignee: Max-Planck-Gesellschaft Zur Forderund Der Wissenschaften E.V.
    Inventors: Alexander Efremov, Rafal Mantiuk, Grzegorz Krawczyk, Karol Myszkowski, Hans-Peter Seidel
  • Publication number: 20170041626
    Abstract: A method for encoding high dynamic range (HDR) images involves providing a lower dynamic range (LDR) image, generating a prediction function for estimating the values for pixels in the HDR image based on the values of corresponding pixels in the LDR image, and obtaining a residual frame based on differences between the pixel values of the HDR image and estimated pixel values. The LDR image, prediction function and residual frame can all be encoded in data from which either the LDR image of HDR image can be recreated.
    Type: Application
    Filed: October 21, 2016
    Publication date: February 9, 2017
    Inventors: Alexander EFREMOV, Rafal MANTIUK, Grzegorz KRAWCZYK, Karol MYSZKOWSKI, Hans-Peter SEIDEL
  • Patent number: 9544610
    Abstract: A method for encoding high dynamic range (HDR) images involves providing a lower dynamic range (LDR) image, generating a prediction function for estimating the values for pixels in the HDR image based on the values of corresponding pixels in the LDR image, and obtaining a residual frame based on differences between the pixel values of the HDR image and estimated pixel values. The LDR image, prediction function and residual frame can all be encoded in data from which either the LDR image of HDR image can be recreated.
    Type: Grant
    Filed: October 30, 2015
    Date of Patent: January 10, 2017
    Assignee: Max-Planck-Gesellschaft Zur Förderung Der Wissenschaften E.V.
    Inventors: Alexander Efremov, Rafal Mantiuk, Grzegorz Krawczyk, Karol Myszkowski, Hans-Peter Seidel
  • Publication number: 20160119638
    Abstract: A method for encoding high dynamic range (HDR) images involves providing a lower dynamic range (LDR) image, generating a prediction function for estimating the values for pixels in the HDR image based on the values of corresponding pixels in the LDR image, and obtaining a residual frame based on differences between the pixel values of the HDR image and estimated pixel values. The LDR image, prediction function and residual frame can all be encoded in data from which either the LDR image of HDR image can be recreated.
    Type: Application
    Filed: October 30, 2015
    Publication date: April 28, 2016
    Inventors: Alexander EFREMOV, Rafal MANTIUK, Grzegorz KRAWCZYK, Karol MYSZKOWSKI, Hans-Peter SEIDEL
  • Patent number: 9210439
    Abstract: A method for encoding high dynamic range (HDR) images involves providing a lower dynamic range (LDR) image, generating a prediction function for estimating the values for pixels in the HDR image based on the values of corresponding pixels in the LDR image, and obtaining a residual frame based on differences between the pixel values of the HDR image and estimated pixel values. The LDR image, prediction function and residual frame can all be encoded in data from which either the LDR image of HDR image can be recreated.
    Type: Grant
    Filed: February 9, 2015
    Date of Patent: December 8, 2015
    Assignee: MAX-PLANCK GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN E.V.
    Inventors: Alexander Efremov, Rafal Mantiuk, Grzegorz Krawczyk, Karol Myszkowski, Hans-Peter Seidel
  • Publication number: 20150156506
    Abstract: A method for encoding high dynamic range (HDR) images involves providing a lower dynamic range (LDR) image, generating a prediction function for estimating the values for pixels in the HDR image based on the values of corresponding pixels in the LDR image, and obtaining a residual frame based on differences between the pixel values of the HDR image and estimated pixel values. The LDR image, prediction function and residual frame can all be encoded in data from which either the LDR image of HDR image can be recreated.
    Type: Application
    Filed: February 9, 2015
    Publication date: June 4, 2015
    Inventors: Alexander EFREMOV, Rafal MANTIUK, Grzegorz KRAWCZYK, Karol MYSZKOWSKI, Hans-Peter SEIDEL
  • Patent number: 8989267
    Abstract: A method for encoding high dynamic range (HDR) images involves providing a lower dynamic range (LDR) image, generating a prediction function for estimating the values for pixels in the HDR image based on the values of corresponding pixels in the LDR image, and obtaining a residual frame based on differences between the pixel values of the HDR image and estimated pixel values. The LDR image, prediction function and residual frame can all be encoded in data from which either the LDR image of HDR image can be recreated.
    Type: Grant
    Filed: November 8, 2013
    Date of Patent: March 24, 2015
    Assignee: Max-Planck-Gesellschaft zur Forderung der Wissenschaften E.V.
    Inventors: Alexander Efremov, Rafal Mantiuk, Grzegorz Krawczyk, Karol Myszkowski, Hans-Peter Seidel
  • Publication number: 20140086321
    Abstract: A method for encoding high dynamic range (HDR) images involves providing a lower dynamic range (LDR) image, generating a prediction function for estimating the values for pixels in the HDR image based on the values of corresponding pixels in the LDR image, and obtaining a residual frame based on differences between the pixel values of the HDR image and estimated pixel values. The LDR image, prediction function and residual frame can all be encoded in data from which either the LDR image of HDR image can be recreated.
    Type: Application
    Filed: November 8, 2013
    Publication date: March 27, 2014
    Applicant: MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN E.V.
    Inventors: Alexander EFREMOV, Rafal MANTIUK, Grzegorz KRAWCZYK, Karol MYSZKOWSKI, Hans-Peter SEIDEL
  • Patent number: 8611421
    Abstract: A method for encoding high dynamic range (HDR) images involves providing a lower dynamic range (LDR) image, generating a prediction function for estimating the values for pixels in the HDR image based on the values of corresponding pixels in the LDR image, and obtaining a residual frame based on differences between the pixel values of the HDR image and estimated pixel values. The LDR image, prediction function and residual frame can all be encoded in data from which either the LDR image of HDR image can be recreated.
    Type: Grant
    Filed: August 7, 2013
    Date of Patent: December 17, 2013
    Assignee: Max-Plank-Gesselschaft zur Forderung der Wissenschaften E.V.
    Inventors: Alexander Efremov, Rafal Mantiuk, Grzegorz Krawczyk, Karol Myszkowski, Hans-Peter Seidel
  • Publication number: 20130322532
    Abstract: A method for encoding high dynamic range (HDR) images involves providing a lower dynamic range (LDR) image, generating a prediction function for estimating the values for pixels in the HDR image based on the values of corresponding pixels in the LDR image, and obtaining a residual frame based on differences between the pixel values of the HDR image and estimated pixel values. The LDR image, prediction function and residual frame can all be encoded in data from which either the LDR image of HDR image can be recreated.
    Type: Application
    Filed: August 7, 2013
    Publication date: December 5, 2013
    Applicant: MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN E.V.
    Inventors: Alexander EFREMOV, Rafal MANTIUK, Grzegorz KRAWCZYK, Karol MYSZKOWSKI, Hans-Peter SEIDEL
  • Patent number: 8537893
    Abstract: A method for encoding high dynamic ränge (HDR) images involves providing a lower dynamic ränge (LDR) image, generating a prediction function for estimating the values for pixels in the HDR image based on the values of corresponding pixels in the LDR image, and obtaining a residual frame based on differences between the pixel values of the HDR image and estimated pixel values. The LDR image, prediction function and residual frame can all be encoded in data from which either the LDR image of HDR image can be recreated.
    Type: Grant
    Filed: September 7, 2006
    Date of Patent: September 17, 2013
    Assignee: Max-Planck-Gesellschaft zur Forderung der Wissenschaften E.V.
    Inventors: Alexander Efremov, Rafal Mantiuk, Grzegorz Krawczyk, Karol Myszkowski, Hans-Peter Seidel
  • Publication number: 20100172411
    Abstract: A method for encoding high dynamic ränge (HDR) images involves providing a lower dynamic ränge (LDR) image, generating a prediction function for estimating the values for pixels in the HDR image based on the values of corresponding pixels in the LDR image, and obtaining a residual frame based on differences between the pixel values of the HDR image and estimated pixel values. The LDR image, prediction function and residual frame can all be encoded in data from which either the LDR image of HDR image can be recreated.
    Type: Application
    Filed: September 7, 2006
    Publication date: July 8, 2010
    Inventors: Alexander Efremov, Rafal Mantiuk, Grzegorz Krawczyk, Karol Myszkowski, Hans-Peter Seidel