IP Library › Granted Patent US 11,804,031
Granted Patent B2
US 11,804,031 · App. 17/097,602 · Granted Oct 31, 2023

Image processing method and apparatus

Inventor: Yeongon Cho (Hwaseong-si, KR)
Assignee: Samsung Electronics Co., Ltd.
G06V10/771G06F18/211G06F21/602G06T5/002G06T7/11G06T7/50G06T7/70G06V20/46H04N7/04G06V20/20
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Quick Facts
Patent No.
US 11,804,031
App. No.
17/097,602
Granted
Oct 31, 2023
Kind
B2
Abstract

Disclosed is an image processing method and apparatus. The image processing method includes obtaining visual information related to an object in an image, generating valid data from the image based on the visual information, and transmitting the valid data.

Claims (44)

1. An image processing method, comprising:

obtaining visual information related to an object in an image;

generating valid data from the image by transforming a region corresponding to the object in the image based on the visual information; and

transmitting the valid data,

wherein the generating of the valid data includes generating the valid data based on a position of a sub-region, in which a change in the pixel value occurs, determined from among a plurality of sub-regions into which the image is segmented.

2. The image processing method of claim 1 , wherein the visual information comprises:

depth information of the object; and

position information of the object.

3. The image processing method of claim 1 , wherein the obtaining of the visual information comprises calculating a change in pixel value between a current frame and a previous frame of the image.

4. The image processing method of claim 1 , wherein the generating of the valid data comprises:

determining a region occluded by the object in the image based on the visual information; and

generating the valid data by excluding the occluded region from the image.

5. The image processing method of claim 4 , wherein the determining comprises:

determining a relative depth of the object in the image based on depth information of the object in the visual information; and

determining the occluded region based on the relative depth and position information of the object in the visual information.

6. The image processing method of claim 1 , wherein the generating of the valid data comprises generating the valid data by transforming the region corresponding to the object in the image based on a position of the object.

7. An image processing method, comprising:

obtaining visual information related to an object in an image;

generating valid data from the image by transforming a region corresponding to the object in the image based on the visual information; and

transmitting the valid data,

wherein the generating of the valid data comprises generating the valid data by transforming the region corresponding to the object in the image based on a position of the object, and

wherein the transforming of the region corresponding to the object in the image based on a position of the object comprises encrypting or blurring the region corresponding to the object based on the position of the object.

8. The image processing method of claim 6 , wherein the transforming of the region corresponding to the object based on a position of the object comprises encrypting or blurring the region corresponding to the object based on the position of the object.

9. The image processing method of claim 3 , wherein the obtaining of the visual information further comprises storing a previous frame of the image.

10. An image processing apparatus, comprising:

a processor configured to

obtain visual information related to an object in an image,

generate valid data from the image by transforming a region corresponding to the object in the image based on the visual information, and

transmit the valid data,

wherein for the generating of the valid data, the processor is further configured to generate the valid data based on a position of a sub-region, in which a change in the pixel value occurs, determined from among a plurality of sub-regions into which the image is segmented.

11. The image processing apparatus of claim 10 , wherein the visual information comprises:

depth information of the object; and

position information of the object.

12. The image processing apparatus of claim 10 , wherein the processor is further configured to calculate a change in pixel value between a current frame and a previous frame of the image.

13. The image processing apparatus of claim 10 , wherein the processor is further configured to:

determine a region occluded by the object in the image based on the visual information, and

generate the valid data by excluding the occluded region from the image.

14. The image processing apparatus of claim 13 , wherein the processor is further configured to:

determine a relative depth of the object in the image based on depth information of the object in the visual information, and

determine the occluded region based on the relative depth and position information of the object in the visual information.

15. The image processing apparatus of claim 11 , wherein the processor is further configured to generate the valid data by transforming the region corresponding to the object in the image based on a position of the object.

16. The image processing apparatus of claim 15 , wherein the processor is further configured to generate the valid data by encrypting the region corresponding to the object based on the position of the object.

17. The image processing apparatus of claim 15 , wherein the processor is further configured to generate the valid data by blurring the region corresponding to the object based on the position of the object.

18. The image processing apparatus of claim 12 , further comprising a memory configured to store a previous frame of the image and to store instructions to be executed by the processor.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 13, 2020
From: CHO, YEONGON
To: SAMSUNG ELECTRONICS CO., LTD.
Reel/Frame 054362/0591 →
Priority Claims (1)
KR 10-2020-0081108 · Jul 1, 2020 · national
Continuity (1)
Related Publication 20220005219A1 · Jan 6, 2022