IP Library › Granted Patent US 12,495,216
Granted Patent B2
US 12,495,216 · App. 18/626,682 · Granted Dec 9, 2025

Electronic apparatus and image processing method

Inventors: Yasushi Tsukamoto (Kanagawa, JP); Koji Kawakita (Kanagawa, JP)
Assignee: Lenovo (Singapore) Pte. Ltd.
H04N23/76G06T5/50G06T5/60H04N23/71G06T2207/20081G06T2207/20212
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Quick Facts
Patent No.
US 12,495,216
App. No.
18/626,682
Granted
Dec 9, 2025
Kind
B2
Abstract

An electronic apparatus includes: a display in which a plurality of pixels are arranged; a camera; and a controller. Light transmitted through a part of an area of the display is incident on the camera. The controller is configured to determine a high-brightness area in which a brightness exceeds a certain value, based on a brightness distribution of a captured image captured by the camera, determine an artifact distribution based on an artifact pattern for a point light source and the high-brightness area, estimate a correction image based on the captured image by using a machine learning model that has learned a relationship between a first image captured with transmission through the display and a second image captured without transmission through the display, determine an applied intensity of the correction image based on the artifact distribution, and combine the correction image and the captured image based on the applied intensity.

Claims (28)

1 . An electronic apparatus comprising:

a display in which a plurality of pixels are arranged;

a camera; and

a controller,

wherein light transmitted through a part of an area of the display is incident on the camera, and

the controller is configured to

determine a high-brightness area in which a brightness exceeds a certain value, based on a brightness distribution of a captured image captured by the camera,

determine an artifact distribution based on an artifact pattern for a point light source and the high-brightness area,

estimate a correction image based on the captured image by using a machine learning model that has learned a relationship between a first image captured with transmission through the display and a second image captured without transmission through the display,

determine an applied intensity of the correction image based on the artifact distribution, and

combine the correction image and the captured image based on the applied intensity.

2 . The electronic apparatus according to claim 1 ,

wherein the controller is configured to

determine a specific area representing a specific object from the captured image, and

apply the captured image in the specific area without applying the correction image.

3 . The electronic apparatus according to claim 1 ,

wherein the controller is configured to determine the artifact pattern depending on an imaging parameter of the camera.

4 . The electronic apparatus according to claim 3 ,

wherein the imaging parameter includes a parameter related to exposure of the camera.

5 . The electronic apparatus according to claim 1 ,

wherein the camera is installed on a back surface of a display surface of the display.

6 . An image processing method of an electronic apparatus including a display in which a plurality of pixels are arranged, and a camera, in which light transmitted through a part of an area of the display is incident on the camera, the image processing method comprising:

via the electronic apparatus,

determining a high-brightness area in which a brightness exceeds a certain value, based on a brightness distribution of a captured image captured by the camera;

determining an artifact distribution based on an artifact pattern for a point light source and the high-brightness area;

estimating a correction image based on the captured image by using a machine learning model that has learned a relationship between a first image captured with transmission through the display and a second image captured without transmission through the display;

determining an applied intensity of the correction image based on the artifact distribution; and

combining the correction image and the captured image based on the applied intensity.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 29, 2024
From: TSUKAMOTO, YASUSHI; KAWAKITA, KOJI
To: LENOVO (SINGAPORE) PTE. LTD.
Reel/Frame 067250/0697 →
Priority Claims (1)
JP 2023-095554 · Jun 9, 2023 · national
Continuity (1)
Related Publication 20240414446A1 · Dec 12, 2024
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