US 11,734,809 B2
Method and apparatus for processing image
Xiang Long, Beijing (CN); Ping Wang, Beijing (CN); Zhichao Zhou, Beijing (CN); Fu Li, Beijing (CN); Dongliang He, Beijing (CN); and Hao Sun, Beijing (CN)
Assigned to BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD., Beijing (CN)
Filed by BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD., Beijing (CN)
Filed on Feb. 11, 2021, as Appl. No. 17/174,002.
Claims priority of application No. 202010325574.1 (CN), filed on Apr. 23, 2020.
Prior Publication US 2021/0334950 A1, Oct. 28, 2021
Int. Cl. G06T 7/00 (2017.01); G06N 3/04 (2023.01); G06N 3/08 (2023.01)
CPC G06T 7/0002 (2013.01) [G06N 3/04 (2013.01); G06N 3/08 (2013.01); G06T 2207/10016 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30168 (2013.01)] 12 Claims
OG exemplary drawing
 
1. A method for processing an image, the method comprising:
acquiring a value to be processed, wherein the value to be processed is associated with an image to be processed; and
processing the value to be processed by using a quality scoring model to generate a score of the image to be processed in a target scoring domain, wherein the score of the image to be processed in the target scoring domain is related to an image quality of the image to be processed;
wherein the value to be processed is a score of the image to be processed in an original scoring domain; and
processing the value to be processed by using the quality scoring model to generate the score of the image to be processed in the target scoring domain comprises:
inputting the score of the image to be processed in the original scoring domain into the quality scoring model to obtain the score of the image to be processed in the target scoring domain, wherein the quality scoring model is a monotonic neural network, and a number of hidden units in the monotonic neural network is smaller than a preset threshold.