公开(公告)号：US12190487B2

公开(公告)日：2025-01-07

申请号：US17635263

申请日：2021-04-30

Applicant: BOE TECHNOLOGY GROUP CO., LTD.

Inventor： Guannan Chen ,  Mengdi Sun ,  Yan Gao ,  Lijie Zhang

IPC: G06T5/90 ,  G06T5/20 ,  G06V10/74

Abstract: An image processing method, an apparatus, an electronic device and a non-transient computer-readable storage medium. The image processing method includes: acquiring an original image; performing a fuzzy processing to the original image to obtain a fuzzy image; performing a high-dynamic-range image to the original image by using a first network model obtained by pre-training, to obtain a first characteristic matrix, wherein the first network model includes a dense residual module and a gate-control-channel conversion module; obtaining an auxiliary characteristic matrix of the original image according to the fuzzy image, wherein the auxiliary characteristic matrix includes detail information of the original image and/or low-frequency information of the original image; obtaining a target image according to the first characteristic matrix and the auxiliary characteristic matrix.

公开(公告)号：US11915058B2

公开(公告)日：2024-02-27

申请号：US17407145

申请日：2021-08-19

Applicant: BOE Technology Group Co., Ltd.

Inventor： Wenbin Chen ,  Yan Gao ,  Guannan Chen

IPC: G06F3/00 ,  G06F9/48 ,  G06F9/50 ,  H04N19/124 ,  H04N19/176

CPC classification number: G06F9/5066 ,  G06F9/485 ,  G06F9/505 ,  H04N19/124 ,  H04N19/176

Abstract: A video processing method and device, electronic equipment and a storage medium, which are applied to the technical field of computers. The method comprises: acquiring video data to be processed; generating video enhancement tasks corresponding to each video frame in the video data to be processed, the video enhancement task comprising a plurality of video enhancement subtasks; and simultaneously executing at least two different video enhancement subtasks of the plurality of video frames in a multi-thread concurrent manner, a single thread correspondingly executing one video enhancement subtask.

公开(公告)号：US20230342892A1

公开(公告)日：2023-10-26

申请号：US17635263

申请日：2021-04-30

Applicant: BOE TECHNOLOGY GROUP CO., LTD.

Inventor： Guannan Chen ,  Mengdi Sun ,  Yan Gao ,  Lijie Zhang

IPC: G06T5/00 ,  G06T5/20 ,  G06V10/74

CPC classification number: G06T5/007 ,  G06T5/20 ,  G06V10/761 ,  G06T2207/20081 ,  G06T2207/20208

Abstract: An image processing method, an apparatus, an electronic device and a non-transient computer-readable storage medium. The image processing method includes: (S11) acquiring an original image; (S12) performing a fuzzy processing to the original image to obtain a fuzzy image; (S13) performing a high-dynamic-range image to the original image by using a first network model obtained by pre-training, to obtain a first characteristic matrix, wherein the first network model includes a dense residual module and a gate-control-channel conversion module; (S14) obtaining an auxiliary characteristic matrix of the original image according to the fuzzy image, wherein the auxiliary characteristic matrix includes detail information of the original image and/or low-frequency information of the original image; (S15) obtaining a target image according to the first characteristic matrix and the auxiliary characteristic matrix.

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.