Nvidia patents camera tweaks that use AI to spot details in photos
Nvidia describes a system where a neural network looks at an image to identify specific objects or features. It then uses this information to tell the camera's image processor how to improve just that part of the picture.
In the filing’s own words
Apparatuses, systems, and techniques related to a perception neural network model determining controls for an image signal processor (ISP). In at least one embodiment, the perception neural network model extracts attributes and semantic features from an image to produce perception data. The perception data is used to determine one or more ISP controls to enhance a portion of the image.
What exactly they claim (claim 1)
1. A method for processing an image, comprising: extracting, using a neural network, at least one of one or more attributes or one or more semantic features from the image to produce perception data; determining one or more image signal processor (ISP) controls to enhance a portion of the image based on the perception data; and processing the image by the ISP according to the one or more ISP controls to produce an output image including the enhanced portion.
Facts
- Company
- Nvidia (NVIDIA Corporation)
- Official title
- LOCALIZED IMAGE SIGNAL PROCESSOR ENHANCEMENTS USING PERCEPTION
- Publication number
- US20260311300A1
- Application number
- 19169247
- Filed
- Apr 3, 2025
- Published
- Oct 8, 2026
- Inventors
- 2
- Claims
- 20
Classified under
G06T 5/60 Physics & computingG06V 10/25 Physics & computingG06V 10/26 Physics & computingG06V 10/7715 Physics & computingG06V 10/82 Physics & computingG06T 2207/10024 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.