Patent ID: 11921276
Assignee: BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A method for evaluating image relative definition, comprising:
extracting a multi-scale feature of each image in an image set, wherein the multi-scale feature is used for representing definition features of objects having different sizes in the each image; and
scoring relative definition of the each image in the image set according to the multi-scale feature by using a pre-trained relative definition scoring model,
wherein the pre-trained relative definition scoring model is obtained by training a pre-established relative definition scoring model, and the pre-trained relative definition scoring model is used to learn a feature related to image definition in a multi-scale feature;
wherein extracting the multi-scale feature of each image in the image set comprises:
extracting the multi-scale feature of each image in the image set by using a pyramid Laplace operator, wherein the pyramid Laplace operator is used for respectively extracting features by using the pyramid Laplace operator at a plurality of image scales and merging the extracted features; and
wherein extracting the multi-scale feature of each image in the image set by using the pyramid Laplace operator comprises:
scaling each image in the image set according to at least two multiple values to obtain at least two scaled images corresponding to the each image;
extracting a multi-scale feature of each of the at least two scaled images by using the pyramid Laplace operator; and
merging the multi-scale features of the at least two scaled images corresponding to the each image to obtain the multi-scale feature of the each image.