-
公开(公告)号:US12125182B2
公开(公告)日:2024-10-22
申请号:US17754192
申请日:2021-04-27
Applicant: BOE Technology Group Co., Ltd.
Inventor: Guannan Chen , Dan Zhu , Lijie Zhang
CPC classification number: G06T5/90 , G06T7/90 , G06T9/00 , G06V10/44 , G06V10/56 , H04N1/6019 , G06T2207/10024 , G06T2207/20081 , G06T2207/20208
Abstract: The present disclosure provides an image processing method and an image processing apparatus. The image processing method includes: obtaining a to-be-converted SDR image; using a first convolutional network to perform feature analysis on the SDR image, to obtain N weights of the SDR image; where the N weights are respectively configured to characterize proportions of color information of the SDR image to color information characterized in preset N 3D lookup tables, the N 3D lookup tables are configured to characterize color information of different types; obtaining a first 3D lookup table for the SDR image according to the N weights and the N 3D lookup tables; using the first 3D lookup table to adjust the color information of the SDR image to obtain an HDR image; and using a second convolutional neural network to perform refinement correction on the HDR image to obtain an output image.
-
公开(公告)号:US12058395B2
公开(公告)日:2024-08-06
申请号:US17761526
申请日:2021-04-27
Applicant: BOE Technology Group Co., Ltd.
Inventor: Dan Zhu , Bingchuan Shi , Xingchen Liu
IPC: H04N21/24 , H04N21/234 , H04N21/81
CPC classification number: H04N21/2407 , H04N21/23418 , H04N21/812
Abstract: The present disclosure discloses a media monitoring method, apparatus and system. The method includes: obtaining image information of a program verification region in a display frame of a currently monitored display screen, wherein the program verification region is configured to display verification information corresponding to a current program that should be broadcast on the display screen; identifying the image information to determine actual display information representing a current actually-broadcast program; and performing verification on the actual display information according to the verification information, and determining that the display screen broadcasts normally if the verification is passed, or determining that the display screen does not broadcast normally if the verification is failed.
-
公开(公告)号:US11922551B2
公开(公告)日:2024-03-05
申请号:US17047935
申请日:2019-12-19
Applicant: BOE Technology Group Co., Ltd.
Inventor: Dan Zhu , Hanwen Liu , Pablo Navarrete Michelini
IPC: G06T13/40 , G06F3/0482 , G06F3/04845 , G06F3/04883 , G06T7/194 , G06T7/70 , G06T11/60
CPC classification number: G06T13/40 , G06F3/0482 , G06F3/04845 , G06F3/04883 , G06T7/194 , G06T7/70 , G06T11/60
Abstract: A computer-implemented method is provided. The computer-implemented method includes rendering a dynamic effect to one or more objects in an image. The method includes setting boundary points surrounding a foreground object to define a boundary area in which a dynamic movement is to be realized; setting a movement line to define a dynamic movement direction along which the dynamic movement is to be realized, wherein setting the movement line includes detecting a continuous touch over different positions on the touch control display panel; setting a stationary area to define an area in which the dynamic movement is prohibited, wherein setting the stationary area includes detecting a first touch area corresponding to the stationary area on the touch control display panel; and generating an animation of the foreground object in the boundary area moving along the dynamic movement direction, thereby realizing the dynamic effect in the image.
-
4.
公开(公告)号:US11908102B2
公开(公告)日:2024-02-20
申请号:US17281291
申请日:2020-05-28
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor: Hanwen Liu , Pablo Navarrete Michelini , Dan Zhu , Lijie Zhang
CPC classification number: G06T3/4046 , G06N3/045 , G06N3/08
Abstract: Disclosed are an image processing method and device, a training method of a neural network and a storage medium. The image processing method includes: obtaining an input image, and processing the input image by using a generative network to generate an output image. The generate network includes a first sub-network and at least one second sub-network, and the processing the input image by using the generative network to generate the output image includes, processing the input image by using the first sub-network to obtain a plurality of first feature images; performing a branching process and a weight sharing process on the plurality of first feature images by using the at least one second sub-network to obtain a plurality of second feature images; and processing the plurality of second feature images to obtain the output image.
-
公开(公告)号:US11216913B2
公开(公告)日:2022-01-04
申请号:US16855063
申请日:2020-04-22
Applicant: BOE Technology Group Co., Ltd.
Inventor: Hanwen Liu , Pablo Navarrete Michelini , Dan Zhu , Lijie Zhang
Abstract: The present disclosure discloses a convolutional neural network processor, an image processing method and an electronic device. The method includes: receiving, by the first convolutional unit, the input image to be processed, extracting the N feature maps with different scales in the image to be processed, sending the N feature maps to the second convolutional unit, and sending the first feature map to the processing unit; fusing, by the processing unit, the received preset noise information and the first feature map, to obtain the second feature map, and sending the second feature map to the second convolutional unit; and fusing, by the second convolutional unit, the received N feature maps with the second feature map to obtain the processed image.
-
公开(公告)号:US20210233214A1
公开(公告)日:2021-07-29
申请号:US16755044
申请日:2019-08-19
Applicant: BOE Technology Group Co., Ltd.
Inventor: Hanwen Liu , Pablo Navarrete Michelini , Dan Zhu , Lijie Zhang
Abstract: A neural network is provided. The neural network includes 2n number of sampling units sequentially connected; and a plurality of processing units. A respective one of the plurality of processing units is between two adjacent sampling units of the 2n number of sampling units. A first sampling unit to an n-th sample unit of the 2n number of sampling units are DeMux units. A respective one of the DeMux units is configured to rearrange pixels in a respective input image to the respective one of the DeMux units following a first scrambling rule to obtain a respective rearranged image. An (n+1)-th sample unit to a (2n)-th sample unit of the 2n number of sampling units are Mux units. A respective one of the Mux units is configured to combine respective m′ number of input images to the respective one of the Mux units to obtain a respective combined image.
-
公开(公告)号:US12198310B2
公开(公告)日:2025-01-14
申请号:US17764458
申请日:2021-03-22
Applicant: BOE Technology Group Co., Ltd.
Inventor: Ran Duan , Dan Zhu , Yanhong Wu , Guannan Chen
Abstract: An image processing method and an image processing device are provided. The image processing method includes performing at least one of a scratch repairing step, a dead point repairing step, a denoising step and a color cast correcting step on a to-be-processed video frame. According to the embodiments of the present disclosure, it is able to repair a scratch and a dead point, remove a noise and/or correct color cast for a video frame, thereby to improve a display effect of the video frame.
-
公开(公告)号:US20240338796A1
公开(公告)日:2024-10-10
申请号:US18681951
申请日:2023-02-17
Applicant: BOE Technology Group Co., Ltd.
Inventor: Dan Zhu , Mengdi Sun
CPC classification number: G06T5/50 , G06T3/40 , G06T5/92 , G06T7/337 , G06T2207/10144 , G06T2207/20208 , G06T2207/20221
Abstract: A method for reconstructing an HDR image includes: acquiring a plurality of original images with same photographing scene and different exposure degrees; screening out a reference image from the plurality of original images, performing feature alignment processing on remaining original images according to the reference image, and obtaining displacement images of the remaining original images; determining an enhanced image according to the reference image and the displacement images of the remaining original images, wherein the enhanced image is obtained by performing image enhancement processing on a fused image after a down-sampling operation, and the fused image is obtained by performing feature fusion on the reference image and the displacement images of the remaining original images; and reconstructing the HDR images corresponding to the plurality of original images according to the enhanced images.
-
公开(公告)号:US20240202983A1
公开(公告)日:2024-06-20
申请号:US17907012
申请日:2021-12-28
Applicant: BOE Technology Group Co., Ltd.
Inventor: Dan Zhu , Guannan Chen , Hanwen Liu
CPC classification number: G06T11/00 , G06T5/20 , G06T7/73 , G06V10/751 , G06V10/7715 , G06V10/776 , G06V10/82 , G06T2207/10016 , G06T2207/20084 , G06T2207/30201 , G06T2210/44
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:US11711491B2
公开(公告)日:2023-07-25
申请号:US17625714
申请日:2021-03-02
Applicant: BOE Technology Group Co., Ltd.
IPC: H04N7/01
CPC classification number: H04N7/012 , H04N7/0102
Abstract: A video image de-interlacing method is provided. The method-includes: acquiring a single frame of original video image; extracting odd field data and even field data in an original video image; performing N-1 times of down-sampling on the odd field data to obtain N-1 odd field data with different resolutions and performing N-1 times of down-sampling on the even field data to obtain N-1 even field data with different resolutions; combining odd field data and even field data with the same resolution to obtain a down-sampled image; and inputting the original video image and the down-sampled image to the de-interlacing network for de-interlacing.
-
-
-
-
-
-
-
-
-