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Samsung patents method to train cameras to see hidden light details

Patent drawing
Patent drawing from the official filing.

Samsung describes a system that trains a computer model to convert standard color photos into detailed hyperspectral images. It uses a light meter to measure the exact lighting conditions and compares the model's output against known data to improve accuracy.

Why it mattersThis could lead to cameras that detect material properties or colors invisible to the human eye, useful for industrial inspection or advanced photography.

In the filing’s own words

An electronic device for training a spectral reconstruction model, including: at least one processor; and memory storing one or more instructions which cause the electronic device to: obtain a first red-green-blue (RGB) image of a scene including an object corresponding to a predetermined reflectance value, obtain a first illumination value corresponding to the first RGB image, provide the first RGB image and the first illumination value as input to the spectral reconstruction model to obtain a first hyperspectral image, obtain a first patch corresponding to the object from the first hyperspectral image, calculate a supervised loss based on a comparison between a first spectral value corresponding to the first patch and a ground truth spectral value determined based on the predetermined reflectance value and the first illumination, and train the spectral reconstruction model based on the supervised loss to obtain a trained spectral reconstruction model.

What exactly they claim (claim 1)

1. An electronic device for training a spectral reconstruction model, the electronic device comprising: a red-green-blue (RGB) camera configured to capture RGB images; a spectral photometer configured to measure illuminations to obtain illumination values; at least one processor; and memory storing one or more instructions which, when executed by the at least one processor, cause the electronic device to: obtain, using the RGB camera, a first red-green-blue (RGB) image of a scene comprising an object, wherein the object corresponds to a predetermined reflectance value, obtain a first illumination value corresponding to the first RGB image by measuring, using the spectral photometer, a first illumination of the scene when the first RGB image is captured, provide the first RGB image and the first illumination value as input to the spectral reconstruction model to obtain a first hyperspectral image, obtain a first patch corresponding to the object from the first hyperspectral image, calculate a supervised loss based on a comparison between a first spectral value corresponding to the first patch and a ground truth spectral value determined based on the predetermined reflectance value and the first illumination, and train the spectral reconstruction model by modifying at least one parameter of the spectral reconstruction model based on the supervised loss to obtain a trained spectral reconstruction model.

Facts

Company
Samsung (SAMSUNG ELECTRONICS CO., LTD.)
Official title
MIXED SUPERVISION FOR SPECTRAL RECONSTRUCTION
Publication number
US20260330828A1
Application number
19640792
Filed
Apr 7, 2026
Published
Oct 22, 2026
Inventors
5
Claims
20

Classified under

G06V 20/194 Physics & computingG06N 3/09 Physics & computingG06T 7/90 Physics & computingG06V 10/60 Physics & computingG06T 2207/10024 Physics & computingG06T 2207/10036 Physics & computing
Read the full filing (official PDF) ↗ Open in the Patent Tracker

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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.