Nvidia patents image compression using neural networks
Nvidia describes a method for compressing images by combining standard pixel data with extra details found by neural networks. The system creates a smaller file by saving both the basic image information and the specific enhancements the network identifies.
In the filing’s own words
Apparatuses, systems, and techniques are presented to compress data. In at least one embodiment, one or more images are generated based, at least in part, upon one or more compressed images and image enhancement data generated using one or more neural networks.
What exactly they claim (claim 1)
1. A processor, comprising: one or more circuits to: generate first residual information determined in a pixel domain for one or more images based, at least in part, on one or more other images; use one or more neural networks to generate image enhancement data for the one or more images including second residual information determined in a neural network feature space; and generate an encoding of the one or more images based, at least in part, upon the first residual information determined in the pixel domain and the second residual information determined in the neural network feature space.
Facts
- Company
- Nvidia (NVIDIA Corporation)
- Official title
- NEURAL NETWORK-BASED IMAGE COMPRESSION
- Publication number
- US20260311380A1
- Application number
- 19715908
- Filed
- Jun 22, 2026
- Published
- Oct 8, 2026
- Inventors
- 1
- Claims
- 1
Classified under
G06T 9/002 Physics & computingG06T 5/60 Physics & computingG06V 10/761 Physics & computingMore from Nvidia in AI & software
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Summaries are simplified from the filing’s own abstract and first claim. A patent filing is not a product announcement.
Patent data and drawings: U.S. Patent and Trademark Office (USPTO). Nebula is not affiliated with or endorsed by the USPTO.