公开(公告)号：US12277686B2

公开(公告)日：2025-04-15

申请号：US17774610

申请日：2021-05-14

Applicant: BOE Technology Group Co., Ltd.

Inventor： Hanwen Liu ,  Tingting Wang ,  Guannan Chen

IPC: G06T5/70

Abstract: Provided is a method for processing an image. The method includes: acquiring a first original image to be processed; and acquiring a degraded image by performing down-sampling processing and blurring processing on the first original image according to a configured down-sampling processing algorithm and a blurring parameter; wherein the down-sampling processing algorithm includes a plurality of sampling steps.

公开(公告)号：US12198226B2

公开(公告)日：2025-01-14

申请号：US17907012

申请日：2021-12-28

Applicant: BOE Technology Group Co., Ltd.

Inventor： Dan Zhu ,  Guannan Chen ,  Hanwen Liu

IPC: G06T11/00 ,  G06T5/20 ,  G06T7/73 ,  G06V10/75 ,  G06V10/77 ,  G06V10/776 ,  G06V10/82

Abstract: A computer-implemented method is provided. The computer-implemented method includes inputting a low-resolution image and a plurality of high-resolution images into a feature extractor, the low-resolution image and the plurality of high-resolution images including images of a target object; obtaining, by the feature extractor, feature maps of the low-resolution image and the plurality of high-resolution images; comparing similarities between the feature maps of the low-resolution image and the plurality of high-resolution images; obtaining selected feature maps of one or more selected high-resolution images of the plurality of high-resolution images most similar to the low-resolution image; inputting the selected feature maps into a generator to output a repair image; enhancing the low-resolution image using a pre-processing image enhancing process to generate an enhanced image; and morphing the repair image with the enhanced image.

公开(公告)号：US12190472B2

公开(公告)日：2025-01-07

申请号：US17630784

申请日：2021-03-10

Applicant: BOE TECHNOLOGY GROUP CO., LTD.

Inventor： Dan Zhu ,  Ran Duan ,  Guannan Chen

IPC: G06T5/50 ,  G06T3/4046 ,  G06T3/4053

Abstract: A video enhancement method and apparatus, an electronic device, and a storage medium are described. The method comprises: extracting features from M frames of images, so as to obtain at least one first-scale image feature (S310); for each first-scale image feature, performing N-level down-sampling processing on the first-scale image feature, so as to obtain a second-scale image feature (S320); performing N-level up-sampling processing on the second-scale image feature, so as to obtain a third-scale image feature (S330), wherein the input of ith-level up-sampling processing is an image feature obtained after performing superimposition processing on the output of (N+1−i)th-level down-sampling processing and the output of (i−1)th-level up-sampling processing, and the multiple of jth-level up-sampling is the same as the multiple of (N+1−j)th-level down-sampling; and performing superimposition processing on the third-scale image feature and the first-scale image feature.

公开(公告)号：US12175632B2

公开(公告)日：2024-12-24

申请号：US17430840

申请日：2020-09-30

Applicant: BOE TECHNOLOGY GROUP CO., LTD.

Inventor： Yan Gao ,  Guannan Chen ,  Lijie Zhang ,  Wenbin Chen

IPC: G06T5/50 ,  G06T3/4046 ,  G06T3/4053 ,  G06V10/40 ,  G06V10/44 ,  G06V10/774 ,  G06V10/776 ,  G06V10/80 ,  G06V10/82 ,  H04N7/015 ,  H04N19/42

Abstract: An image processing method and apparatus, a device, a video processing method and a storage medium are provided. The image processing method includes: receiving an input image; and processing the input image by using the convolutional neural network to obtain an output image. A definition of the output image is higher than a definition of the input image. Processing the input image by using the convolutional neural network to obtain the output image includes: performing feature extraction on the input image; concatenating the input image and the plurality of first images; performing the feature extraction on the first image group; fusing the plurality of second images and the plurality of first images; concatenating the input image and the plurality of third images to obtain a second image group; and performing the feature extraction on the second image group to obtain the output image.

公开(公告)号：US12002289B2

公开(公告)日：2024-06-04

申请号：US17434424

申请日：2021-02-24

Applicant: BOE Technology Group Co., Ltd.

Inventor： Guannan Chen

IPC: G06V40/16 ,  G06N3/045 ,  G06N3/08 ,  G06T7/73 ,  G06V10/764 ,  G06V10/77 ,  G06V10/778 ,  G06V10/80 ,  G06V10/82

CPC classification number: G06V40/174 ,  G06N3/045 ,  G06N3/08 ,  G06T7/73 ,  G06V10/764 ,  G06V10/7715 ,  G06V10/778 ,  G06V10/806 ,  G06V10/82 ,  G06V40/161 ,  G06V40/171 ,  G06V40/172 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30201

Abstract: An expression recognition method and apparatus, a computer device, and a readable storage medium are provided. The method includes: performing face key-point position detection on a face image to obtain face key-point position information; and obtaining expression class information of the face image using four cascaded convolutional modules and a trained neural network classifier according to the face image and the face key-point position information.

公开(公告)号：US11961327B2

公开(公告)日：2024-04-16

申请号：US17294478

申请日：2020-08-25

Applicant: BOE Technology Group Co., Ltd.

Inventor： Guannan Chen

IPC: G06V40/16 ,  G06F18/21 ,  G06N5/01 ,  G06N20/20

CPC classification number: G06V40/174 ,  G06F18/21 ,  G06N5/01 ,  G06N20/20 ,  G06V40/168

Abstract: An image processing method, an image processing device, a training method and a computer-readable storage medium. The image processing method includes: extracting a characteristic vector in an image to be recognized; based on the characteristic vector of the image to be recognized, acquiring a predicted score value of the image to be recognized; and based on the predicted score value, determining a category of an image information of the image to be recognized; wherein the image to be recognized is a face image, and the image information is a facial expression.

公开(公告)号：US11900563B2

公开(公告)日：2024-02-13

申请号：US17261541

申请日：2020-04-01

Applicant: BOE Technology Group Co., Ltd.

Inventor： Guannan Chen ,  Jingru Wang ,  Lijie Zhang ,  Fengshuo Hu

IPC: G06T3/40 ,  G06N3/08

CPC classification number: G06T3/4053 ,  G06N3/08 ,  G06T3/4046

Abstract: A computer-implemented method is provided. The computer-implemented method includes inputting a low-resolution image into a generator; and generating a high-resolution image using the generator based on the low-resolution image. Generating the high-resolution image includes processing the low-resolution image through a plurality of super-resolution generating units arranged in series in the generator. A respective output from a respective one of the plurality of super-resolution generating units has a respective increased image resolution as compared to a respective input to the respective one of the plurality of super-resolution generating units.

公开(公告)号：US20230401679A1

公开(公告)日：2023-12-14

申请号：US17434729

申请日：2020-11-27

Applicant: BOE Technology Group Co., Ltd.

Inventor： Dan Zhu ,  Guannan Chen ,  Ran Duan

IPC: G06T5/00 ,  G06N3/045 ,  G06N3/0464 ,  G06N3/08

CPC classification number: G06T5/003 ,  G06N3/045 ,  G06N3/0464 ,  G06N3/08 ,  G06T2207/20192 ,  G06T2207/20081 ,  G06T2207/20084

Abstract: A computer-implemented image-processing method is provided. The computer-implemented image-processing method includes obtaining a pair of training samples including a training image having a first degree of sharpness and a reference image having a second degree of sharpness, the second degree greater than the first degree, at least portions of the training image and the reference image in a same pair having same contents; inputting the training image to the image-enhancing convolutional neural network to generate a training enhanced image; inputting the training enhanced image into an edge detector; generating, by the edge detector, a plurality of first edge maps; inputting the reference image into the edge detector; generating, by the edge detector, a plurality of second edge maps; and tuning parameters in the image-enhancing convolutional neural network to minimize at least the one or more first losses and a second loss.

公开(公告)号：US20220108425A1

公开(公告)日：2022-04-07

申请号：US17261541

申请日：2020-04-01

Applicant: BOE Technology Group Co., Ltd.

Inventor： Guannan Chen ,  Jingru Wang ,  Lijie Zhang ,  Fengshuo Hu

IPC: G06T3/40 ,  G06N3/08

Abstract: A computer-implemented method is provided. The computer-implemented method includes inputting a low-resolution image into a generator, and generating a high-resolution image using the generator based on the low-resolution image. Generating the high-resolution image includes processing the low-resolution image through a plurality of super-resolution generating units arranged in series in the generator. A respective output from a respective one of the plurality of super-resolution generating units has a respective increased image resolution as compared to a respective input to the respective one of the plurality of super-resolution generating units.

公开(公告)号：US20220019775A1

公开(公告)日：2022-01-20

申请号：US17294478

申请日：2020-08-25

Applicant: BOE Technology Group Co., Ltd.

Inventor： Guannan Chen

IPC: G06K9/00 ,  G06K9/62 ,  G06N20/20 ,  G06N5/00

Abstract: An image processing method, an image processing device, a training method and a computer-readable storage medium. The image processing method includes: extracting a characteristic vector in an image to be recognized; based on the characteristic vector of the image to be recognized, acquiring a predicted score value of the image to be recognized; and based on the predicted score value, determining a category of an image information of the image to be recognized; wherein the image to be recognized is a face image, and the image information is a facial expression.