公开(公告)号：US20220377265A1

公开(公告)日：2022-11-24

申请号：US17771941

申请日：2021-07-05

Applicant: BOE TECHNOLOGY GROUP CO., LTD.

Inventor： Dan ZHU ,  Ran DUAN

IPC: H04N5/367 ,  G06V10/44 ,  G06T5/50 ,  G06V10/28

Abstract: Embodiments of the disclosure provide a method for detecting bad points in a video, including: performing extreme filtering respectively on first, second and third frames of images which are sequentially and continuously in the video to obtain first, second and third filtered images, respectively; wherein the extreme filtering is one of maximum filtering and minimum filtering; determining first and second difference images according to the first, second and third filtered images; determining a candidate image according to the first and second difference images; and determining that at least part of points in the second frame of image corresponding to the valid point in the candidate image are bad points. The embodiment of the disclosure also provides a device and a computer-readable medium for detecting bad points in the video.

公开(公告)号：US20200226440A1

公开(公告)日：2020-07-16

申请号：US16835809

申请日：2020-03-31

Applicant: BOE TECHNOLOGY GROUP CO., LTD.

Inventor： Dan ZHU ,  Pablo NAVARRETE MICHELINI ,  Lijie ZHANG ,  Hanwen LIU

IPC: G06K19/06 ,  G06T5/50

Abstract: Disclosed is a two-dimensional code image generation method and apparatus, a storage medium and an electronic device related to the field of two-dimensional code image technology. The method includes obtaining an initial two-dimensional code image and a background image, and performing structured processing on the initial two-dimensional code image according to the background image to obtain a structured two-dimensional code image, performing mode transfer processing on the background image to obtain a background image of a target mode by a mode transfer model, and performing a fusion operation on the structured two-dimensional code image and the background image of the target mode to obtain a target two-dimensional code image.

公开(公告)号：US20240320796A1

公开(公告)日：2024-09-26

申请号：US18027959

申请日：2022-03-25

Applicant: BOE TECHNOLOGY GROUP CO., LTD.

Inventor： Guannan CHEN ,  Dan ZHU

IPC: G06T5/60 ,  G06T5/20 ,  G06T5/50 ,  G06V10/44 ,  G06V10/77 ,  G06V10/80 ,  G06V10/82

CPC classification number: G06T5/60 ,  G06T5/20 ,  G06T5/50 ,  G06V10/443 ,  G06V10/7715 ,  G06V10/806 ,  G06V10/82 ,  G06T2207/10016 ,  G06T2207/10024 ,  G06T2207/20081 ,  G06T2207/20084

Abstract: The present disclosure relates to a video processing method, a video processing apparatus, an electronic device, and a storage medium, where the video processing method includes: acquiring a video frame of a video to be processed; and performing color adjustment on the video frame using at least one color enhancement model in a color enhancement model pool, to obtain an video output frame subjected to color adjustment, where the color enhancement model pool includes a set of models for performing the color adjustment on videos of a plurality of video content types with different requirements on styles thereof.

公开(公告)号：US20240135490A1

公开(公告)日：2024-04-25

申请号：US18396866

申请日：2023-12-27

Applicant: BOE TECHNOLOGY GROUP CO., LTD.

Inventor： Pablo NAVARRETE MICHELINI ,  Wenbin CHEN ,  Hanwen LIU ,  Dan ZHU

IPC: G06T3/4046 ,  G06N3/08 ,  G06T3/4053 ,  G06T5/50

CPC classification number: G06T3/4046 ,  G06N3/08 ,  G06T3/4053 ,  G06T5/50

Abstract: An image processing method, an image processing device, a training method of a neural network, an image processing method based on a combined neural network model, a constructing method of a combined neural network model, a neural network processor, and a storage medium are provided. The image processing method includes: obtaining, based on an input image, initial feature images of N stages with resolutions from high to low, N is a positive integer and N>2; performing, based on initial feature images of second to N-th stages, cyclic scaling processing on an initial feature image of a first stage, to obtain an intermediate feature image; and performing merging processing on the intermediate feature image to obtain an output image. The cyclic scaling processing includes hierarchically-nested scaling processing of N−1 stages, and scaling processing of each stage includes down-sampling processing, concatenating processing, up-sampling processing, and residual link addition processing.

公开(公告)号：US20220292638A1

公开(公告)日：2022-09-15

申请号：US17762199

申请日：2021-04-19

Applicant: BOE TECHNOLOGY GROUP CO., LTD.

Inventor： Lijie ZHANG ,  Dan ZHU

IPC: G06T3/40 ,  G06T5/20

Abstract: Provided are a method for enhancing a video resolution enhancement, a computer readable storage medium, and an electronic device. The method includes: obtaining multiple image frames as input data, and obtaining initial data by performing feature extraction on the input data using a first three-dimensional convolutional layer; obtaining first feature data by performing down-sampling on the initial data at a preset multiple; obtaining first reference data by performing a convolution operation on the first feature data using a second three-dimensional convolutional layer to merge the first feature data as one frame; and obtaining first output data by performing up-sampling on the first reference data at the preset multiple.

公开(公告)号：US20220084166A1

公开(公告)日：2022-03-17

申请号：US17419350

申请日：2020-10-13

Applicant: BOE TECHNOLOGY GROUP CO., LTD.

Inventor： Pablo NAVARRETE MICHELINI ,  Wenbin CHEN ,  Hanwen LIU ,  Dan ZHU

IPC: G06T3/40 ,  G06N3/08 ,  G06T5/50

Abstract: An image processing method, an image processing device, a training method of a neural network, an image processing method based on a combined neural network model, a constructing method of a combined neural network model, a neural network processor, and a storage medium are provided. The image processing method includes: obtaining, based on an input image, initial feature images of N stages with resolutions from high to low, where N is a positive integer and N>2, performing, based on initial feature images of second to N-th stages, cyclic scaling processing on an initial feature image of a first stage, to obtain an intermediate feature image; and preforming merging processing on the intermediate feature image to obtain an output image. The cyclic scaling processing includes hierarchically-nested scaling processing of N−1 stages, and scaling processing of each stage includes down-sampling processing, concatenating processing, up-sampling processing, and residual link addition processing.

公开(公告)号：US20210373752A1

公开(公告)日：2021-12-02

申请号：US17255458

申请日：2019-11-28

Applicant: BOE Technology Group Co., Ltd.

Inventor： Hanwen LIU ,  PABLO NAVARRETE MICHELINI ,  Dan ZHU

IPC: G06F3/0484 ,  G06F16/55 ,  G06F16/58

Abstract: The present disclosure discloses a user interface system, electronic equipment and an interaction method for picture recognition. The electronic equipment includes a display screen, a memory and a processor, a first interface is displayed on the display screen, and the first interface includes at least one primary function classification tag, a plurality of secondary function classification tags and at least one tertiary function classification tag included in each of the secondary function classification tags; and by selecting a tertiary function classification tag, a second interface can be displayed such that a function effect corresponding to the tertiary function classification tag is experienced on the second interface. The electronic equipment can be used such that different tertiary function classification tags can be selected for experience in the first interface, can provide users with practicality, and has certain tool properties.

公开(公告)号：US20200285959A1

公开(公告)日：2020-09-10

申请号：US16759669

申请日：2019-09-25

Applicant: BOE TECHNOLOGY GROUP CO., LTD.

Inventor： Hanwen LIU ,  Dan ZHU ,  Pablo NAVARRETE MICHELINI

IPC: G06N3/08 ,  G06N3/04 ,  G06T3/40 ,  G06F17/16

Abstract: The present disclosure provides a training method for generative adversarial network, which includes: extracting a first-resolution sample image from a second-resolution sample image; separately providing a first input image and a second input image for a generative network to generate a first output image and a second output image respectively, the first input image including a first-resolution sample image and a first noise image, the second input image including the first-resolution sample image and a second noise image; separately providing the first output image and a second-resolution sample image for a discriminative network to output a first discrimination result and a second discrimination result; and adjusting parameters of the generative network to reduce a loss function. The present disclosure further provides an image processing method using the generative adversarial network, a computer device, and a computer-readable storage medium.

公开(公告)号：US20200034951A1

公开(公告)日：2020-01-30

申请号：US16521808

申请日：2019-07-25

Applicant: BOE TECHNOLOGY GROUP CO., LTD.

Inventor： Dan ZHU ,  Pablo NAVARRETE MICHELINI ,  Hanwen LIU

IPC: G06T5/00

Abstract: An image processing method, an image processing device and a computer storage medium are provided. The method includes: performing a maximum-filtering processing on an original image and obtaining a luminance channel of the image; and performing a guided-filtering processing on the obtained luminance channel, and estimating and obtaining an incident component.

公开(公告)号：US20250086763A1

公开(公告)日：2025-03-13

申请号：US18561588

申请日：2022-12-23

Applicant: BOE TECHNOLOGY GROUP CO., LTD.

Inventor： Dan ZHU ,  Guannan CHEN

IPC: G06T5/92 ,  H04N19/186

Abstract: A method and an apparatus for video processing, and a non-instantaneous readable storage medium. The method for video processing includes: dividing a plurality of video frames in an initial video into a plurality of video segments; determining, based on one frame of the one or more video frames, a display parameter set of a video segment to which the one frame belongs; adjusting other frames in the video segment based on the display parameter set to acquire an intermediate video segment; performing a high dynamic range conversion on the intermediate video segment to acquire a high dynamic range video segment; generating a high dynamic range video based on the high dynamic range video segment. Each of the plurality of video segments comprises one or more video frames, and the plurality of video frames are consecutive.