公开(公告)号：US20240193734A1

公开(公告)日：2024-06-13

申请号：US17794837

申请日：2021-09-23

Applicant: BOE Technology Group Co., Ltd.

Inventor： Yanhong WU ,  Guannan CHEN ,  Dan ZHU

IPC: G06T5/20 ,  G06T3/4053 ,  G06T7/00 ,  G06T11/00

CPC classification number: G06T5/20 ,  G06T3/4053 ,  G06T7/0002 ,  G06T11/001 ,  G06T2207/10024 ,  G06T2207/20004 ,  G06T2207/30168 ,  G06T2210/32

Abstract: Disclosed are a display device system and a method for adaptively enhancing an image quality. The method includes: acquiring an original image, performing iterative detail enhancement processing on the original image by utilizing at least one filter function containing iteratively-updated filter parameters, in a case that a difference between a quality evaluation score of the input image and a quality evaluation score of the detail-enhanced image of the ith iteration satisfies an iteration condition, obtaining filter parameters of an (i+1)th iteration by updating the filter parameters of the ith iteration, and continuing to perform detail enhancement processing on the input image by utilizing at least one filter function containing the filter parameters of the (i+1)th iteration, until a difference between the quality evaluation score of the input image and a quality evaluation score of a detail-enhanced image of the (i+1)th iteration satisfies the iteration condition.

公开(公告)号：US20210012096A1

公开(公告)日：2021-01-14

申请号：US16916268

申请日：2020-06-30

Applicant: BOE Technology Group Co., Ltd.

Inventor： Guannan CHEN ,  Yanhong WU

IPC: G06K9/00 ,  G06T7/11 ,  G06T5/20 ,  G06K9/46

Abstract: The present disclosure provides an expression recognition method, a computer device, and a computer-readable storage medium. The expression recognition method includes: obtaining a facial image to be recognized; preprocessing the facial image to be recognized to obtain a preprocessed facial image; obtaining a first output image according to the preprocessed facial image, wherein the first output image at least represents a texture feature of the facial image to be recognized; obtaining a second output image according to the first output image, wherein the second output image at least represents a structural feature of organs of the facial image to be recognized; and determining an expression category corresponding to the facial image to be recognized, according to the second output image.

公开(公告)号：US20250030823A1

公开(公告)日：2025-01-23

申请号：US18281573

申请日：2022-10-21

Applicant: BOE Technology Group Co., Ltd.

Inventor： Feng HOU ,  Dan ZHU ,  Guannan CHEN ,  Yanhong WU

IPC: H04N9/73 ,  G06T7/90 ,  G06V10/74 ,  G06V20/40 ,  G11B27/02

Abstract: Provided is a method for processing a video. The method for processing the video can segment an initial video into a plurality of video clips, and calculate color temperatures of the plurality of video clips. For each target video clip in the plurality of video clips, the method can determine a color temperature adjustment coefficient of the target video clip based on a color temperature of the target video clip and a color balance correction coefficient thereof, and adjust a color temperature of at least one video frame in the target video clip by using the color temperature adjustment coefficient.

公开(公告)号：US20230254434A9

公开(公告)日：2023-08-10

申请号：US16979417

申请日：2019-12-19

Applicant: BOE TECHNOLOGY GROUP CO., LTD.

Inventor： Yanhong WU ,  Hanwen LIU ,  Guannan CHEN

IPC: H04N1/60

CPC classification number: H04N1/6022

Abstract: An embodiment of the present disclosure provides a method for processing an image. The method comprise: determining weights corresponding to candidate colors for a target color based on an original color of a pixel in the image; selecting a target color of the pixel from the candidate colors based on the weights; and converting the original color of the pixel into the target color to obtain a target image. According to the embodiment of the present disclosure, by determining the weights of the candidate colors, the image can be converted into the target image comprising only the candidate colors, thereby using a limited number of candidate colors to represent the target image.

公开(公告)号：US20220343683A1

公开(公告)日：2022-10-27

申请号：US17434424

申请日：2021-02-24

Applicant: BOE Technology Group Co., Ltd.

Inventor： Guannan CHEN

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

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：US20250087128A1

公开(公告)日：2025-03-13

申请号：US18705537

申请日：2023-04-28

Applicant: BOE TECHNOLOGY GROUP CO., LTD.

Inventor： Yanhong WU ,  Xian WANG ,  Congrui WU ,  Ran DUAN ,  Guannan CHEN

IPC: G09G3/20 ,  G09G3/32

Abstract: The present disclosure provides a display method for a splicing display screen, which belongs to the technical field of image display, wherein the splicing display screen includes a plurality of display panels spliced with each other, and the display method includes: determining initial gray-scale compensation data according to first gray-scale data for each pixel in current frame of image data and a pre-generated gray-scale compensation data table; acquiring temperature influence data of current frame of image data, and filtering each temperature influence data according to preset filter parameter information to obtain a gray-scale compensation coefficient; determining target gray-scale compensation data according to the gray-scale compensation coefficient and the initial gray-scale compensation data; and compensating a gray scale of the current frame of image data according to the target gray-scale compensation data to obtain compensated frame of image data.

公开(公告)号：US20240320863A1

公开(公告)日：2024-09-26

申请号：US18694559

申请日：2021-12-16

Applicant: BOE TECHNOLOGY GROUP CO., LTD.

Inventor： Dan ZHU ,  Guannan CHEN

IPC: G06T7/90 ,  G06T3/40

CPC classification number: G06T7/90 ,  G06T3/40 ,  G06T2207/10024 ,  G06T2207/20081

Abstract: A model training method and apparatus for image processing are disclosed. The method includes: obtaining a picture training sample, and obtaining a ground truth picture corresponding to the picture training sample; inputting the picture training sample into a three-dimensional color look-up model to obtain a model predicted picture, and performing loss calculation on the model predicted picture and the ground truth picture to obtain a loss calculation result; and adjusting the three-dimensional color look-up model according to the loss calculation result to obtain a target image processing model. The target image processing model is configured to perform image processing on an image to be processed to obtain an image processing result corresponding to the image to be processed.

公开(公告)号：US20220398696A1

公开(公告)日：2022-12-15

申请号：US17626162

申请日：2020-12-24

Applicant: BOE TECHNOLOGY GROUP CO., LTD.

Inventor： Guannan CHEN ,  Ran DUAN ,  Mengdi SUN ,  Lijie ZHANG

IPC: G06T5/00 ,  G06T3/40 ,  G06V40/16 ,  G06T5/20 ,  G06V10/77 ,  G06T5/50

Abstract: An image processing method and device, and a computer-readable storage medium are disclosed. The method includes: performing a channel expansion process on the input image to obtain a first intermediate image; performing a channel decomposition process for multiple times based on the first intermediate image, wherein each time of channel decomposition process includes: decomposing an image to be processed into a first decomposition image and a second decomposition image; concatenating first decomposition images generated in each time of channel decomposition process and second decomposition image generated in the last time of channel decomposition process to obtain a concatenated image; performing a post-processing process on the concatenated image to obtain a second intermediate image; and fusing the second intermediate image with the input image to obtain the first output image.

公开(公告)号：US20220201242A1

公开(公告)日：2022-06-23

申请号：US17278403

申请日：2020-05-29

Applicant: BOE TECHNOLOGY GROUP CO., LTD.

Inventor： Yunhua LU ,  Ran DUAN ,  Guannan CHEN ,  Lijie ZHANG ,  Hanwen LIU

IPC: H04N7/01 ,  G06T7/50 ,  G06T7/269 ,  G06T3/40 ,  G06T7/246

Abstract: The present disclosure relates to the field of information display, and specifically to a method, device, computer readable storage medium, and electronic device for video frame interpolation. The method comprises: obtaining, based on two input frames, two initial optical flow maps corresponding to the two input frames; optimizing the initial optical flow maps to obtain target optical flow maps; obtaining an interpolation frame kernel, two depth maps and two context feature maps based on the two input frames; obtaining an output frame using a frame synthesis method based on the target optical flow maps, the depth maps, the context feature maps, and the interpolation frame kernel.

公开(公告)号：US20250086757A1

公开(公告)日：2025-03-13

申请号：US18958137

申请日：2024-11-25

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.