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

Claim 7:
8. An apparatus for evaluating image relative definition, comprising:
a multi-scale feature extraction module, which is configured to extract 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
a relative definition scoring module, which is configured to score 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 the multi-scale feature;
wherein the multi-scale feature extraction module is configured to:
extract 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 extracting features by respectively using the pyramid Laplace operator at a plurality of image scales and merging the extracted features; and
wherein the multi-scale feature extraction module comprises:
an image scaling unit, which is configured to scale 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;
a feature extraction unit, which is configured to extract a multi-scale feature of each of the at least two scaled images by using the pyramid Laplace operator; and
a feature merging unit, which is configured to merge 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.