Remastering lower dynamic range content for higher dynamic range displays
US12423787B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | May 30, 2024 |
| Grant date | Sep 23, 2025 |
| Priority date | — |
| Expiry date | May 30, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20208
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The technology disclosed herein involves using a machine learning model (e.g., CNN) to expand lower dynamic-range image content (e.g., SDR images) into higher dynamic-range image content (e.g., HDR images). The machine learning model can take as input the lower dynamic-range image and can output multiple expansion maps that are used to make the expanded image appear more natural. The expansion maps may be used by image operators to smooth color banding and to dim overexposed regions or user interface elements in the expanded image. The expanded content (e.g., HDR image content) may then be provided to one or more devices for display or storage.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.