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SamsungGranted patentAI & softwareInterest 4/10

Samsung patents method to tune camera filters using image recognition

Samsung describes a technique for adjusting how a camera sensor processes light by simulating different color spectra on an image. The system feeds these simulated images into a vision model and adjusts the sensor settings based on how well the model performs a specific task.

Why it mattersThis approach could help cameras produce more accurate images by automatically optimizing sensor settings for better recognition results.

In the filing’s own words

A method of learning a parameter of a sensor filter and an apparatus for performing the method are provided. The learning method may include performing a simulation on a target image for each spectrum of a sensor filter, obtaining an output value by inputting the simulated image to a vision model for a vision task, and learning a parameter of the sensor filter based on a loss between a label of the vision model and the output value of the vision model.

What exactly they claim (claim 1)

1. A method of learning a parameter of a sensor filter, the method comprising: performing a simulation on a target image for each spectrum of the sensor filter; obtaining an output value by inputting the simulated image to a vision model for a vision task; and learning a parameter of the sensor filter based on a loss between a label of the vision model and the output value of the vision model.

Facts

Company
Samsung (SAMSUNG ELECTRONICS CO., LTD.)
Official title
Method of learning parameter of sensor filter and apparatus for performing the same
Patent number
US12731292B2
Application number
18134328
Filed
Apr 13, 2023
Granted
Sep 8, 2026
Inventors
4
Claims
19

Classified under

G06T 7/90 Physics & computingG06T 2207/10024 Physics & computingG06T 2207/20081 Physics & computing

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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.