20240013354. Deep SDR-HDR Conversion simplified abstract (Disney Enterprises, Inc.)

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Deep SDR-HDR Conversion

Organization Name

Disney Enterprises, Inc.

Inventor(s)

Tunc Ozan Aydin of Zurich (CH)

Yang Zhang of Dubendorf (CH)

Blake Sloan of New York NY (US)

Jeroen Schulte of San Francisco CA (US)

Michael Maloney of New York NY (US)

Deep SDR-HDR Conversion - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240013354 titled 'Deep SDR-HDR Conversion

Simplified Explanation

The exemplary embodiments of this patent application relate to a machine learning system that converts standard dynamic range (SDR) content into high dynamic range (HDR) content. The system can be trained using either the encoded representation of a training SDR image and a training HDR image, or a predefined set of color grading actions and the training images.

  • The patent application describes a machine learning system that converts SDR content to HDR content.
  • The system can be trained using either the encoded representation of a training SDR image and a training HDR image, or a predefined set of color grading actions and the training images.

Potential Applications:

  • This technology can be used in video editing software to enhance the quality of SDR content by converting it to HDR.
  • It can be applied in streaming services to improve the visual experience of viewers by converting SDR videos to HDR.
  • This technology can be used in digital cameras or smartphones to automatically convert SDR images to HDR for better image quality.

Problems Solved:

  • Converting SDR content to HDR manually can be time-consuming and require expertise. This technology automates the process and eliminates the need for manual conversion.
  • SDR content lacks the dynamic range and color depth of HDR content. This technology solves this problem by converting SDR content to HDR, enhancing the visual quality.

Benefits:

  • The technology allows for the conversion of SDR content to HDR, improving the visual quality and enhancing the viewing experience.
  • It simplifies the process of converting SDR content to HDR, making it accessible to a wider range of users.
  • By automating the conversion process, this technology saves time and effort for content creators and editors.


Original Abstract Submitted

the exemplary embodiments relate to converting standard dynamic range (sdr) content to high dynamic range (hdr) content using a machine learning system. in some embodiments, the neural network is trained to convert an input sdr image into an hdr image using the encoded representation of a training sdr image and a training hdr image. in other embodiments, the neural network is trained to convert an input sdr image into an hdr image using a predefined set of color grading actions and the training images.

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