US 12,462,356 B2
Apparatus and method for predicting compression quality of image in electronic device
Kyuwon Kim, Suwon-si (KR); Tushar Balasaheb Sandhan, Suwon-si (KR); Chulju Yang, Suwon-si (KR); Heekuk Lee, Suwon-si (KR); and Inho Choi, Suwon-si (KR)
Assigned to SAMSUNG ELECTRONICS CO., LTD., Suwon-si (KR)
Filed by SAMSUNG ELECTRONICS CO., LTD., Suwon-si (KR)
Filed on Oct. 20, 2022, as Appl. No. 17/970,482.
Application 17/970,482 is a continuation of application No. PCT/KR2022/014632, filed on Sep. 29, 2022.
Claims priority of application No. 10-2021-0130181 (KR), filed on Sep. 30, 2021; and application No. 10-2021-0153020 (KR), filed on Nov. 9, 2021.
Prior Publication US 2023/0102895 A1, Mar. 30, 2023
Int. Cl. 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)
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)] 17 Claims
OG exemplary drawing
 
1. An electronic device comprising:
a display;
at least one processor including processing circuitry operatively connected to the display and the memory; and
memory storing instructions that, when executed by the at least one processor individually or collectively, cause the electronic device to:
display compressed image via the display,
extract multiple blocks from the compressed image as a region of interest (ROI),
estimate a confidence value for analyzing a compression rate corresponding to each of the extracted multiple blocks,
identify, based on at least the estimated confidence value, at least one first block having a confidence value equal to or smaller than a designated threshold value,
perform a mean operation for compression rate classification excluding the identified at least one first block from the mean operation, based on at least one second block having a confidence value greater than the designated threshold value, and
determine a compression rate of the compressed image by classifying a result of the mean operation.