The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Nov. 04, 2025

Filed:

Oct. 20, 2022
Applicant:

Samsung Electronics Co., Ltd., Suwon-si, KR;

Inventors:

Kyuwon Kim, Suwon-si, KR;

Tushar Balasaheb Sandhan, Suwon-si, KR;

Chulju Yang, Suwon-si, KR;

Heekuk Lee, Suwon-si, KR;

Inho Choi, Suwon-si, KR;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 5/00 (2024.01); G06T 5/70 (2024.01); G06T 5/77 (2024.01); G06T 9/00 (2006.01); G06V 10/50 (2022.01); G06V 10/74 (2022.01); G06V 10/762 (2022.01); G06V 10/764 (2022.01);
U.S. Cl.
CPC ...
G06T 5/77 (2024.01); G06T 5/70 (2024.01); G06T 9/00 (2013.01); G06V 10/50 (2022.01); G06V 10/761 (2022.01); G06V 10/762 (2022.01); G06V 10/764 (2022.01); G06T 2207/20182 (2013.01); G06T 2207/30168 (2013.01);
Abstract

A method and/or device for predicting a compression quality of an image during image correction (e.g., image quality enhancement) in an electronic device, and/or processing the image, based on at least the prediction, may be provided. The electronic device may include a display module, a memory, and a processor, wherein the processor may operate to display an image through the display module, extract designated multiple blocks from the image in a designated scheme, estimate confidence for each of the multiple blocks, identify, based on the estimation of the confidence, a first block corresponding to an outlier to be excluded in quality prediction, and a second block for which quality prediction is possible, among the multiple blocks, exclude the first block among the multiple blocks from a subject of quality prediction, and classify a compression quality of the image by using at least the second block remaining after excluding the first block from among the multiple blocks.


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