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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.
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公开(公告)号:US20220385872A1
公开(公告)日:2022-12-01
申请号:US17767069
申请日:2021-05-25
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor: Yanhong WU
Abstract: The present disclosure provides an image processing method, an image processing device, a display device, and a storage medium. The image processing method is suitable for processing an image to be processed to obtain a target image, image data of the image to be processed includes a gray-scale value corresponding to each basic color component of a plurality of basic color components. The image processing method includes: determining a target color temperature; determining a target value of each basic color component corresponding to the target color temperature; determining a transformation parameter of each basic color component according to the target value of each basic color component; and based on the transformation parameter of each basic color component, performing a transformation operation on the gray-scale value, corresponding to each basic color component, in the image data of the image to be processed to obtain image data of the target image.
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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
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.
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公开(公告)号:US20250095534A1
公开(公告)日:2025-03-20
申请号:US18290833
申请日:2022-09-30
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor: Yanhong WU
IPC: G09G3/20
Abstract: A spliced display screen, and a display method, a parameter determination method and a control system for a spliced display screen are provided. The spliced display screen includes display panels spliced together. The method includes: determining initial gray scale compensation data according to first gray scale data of a pixel in current frame image data and a gray scale compensation data table, the gray scale compensation data table includes a temperature adjustment parameter configured for the spliced display screen, which varies with the spliced display screen; determining a gray scale compensation coefficient of each display region of at least one display panel; determining target gray scale compensation data according to the gray scale compensation coefficient and the initial gray scale compensation data; and performing a gray scale compensation on the current frame image data according to the target gray scale compensation data to obtain compensated frame image data.
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公开(公告)号:US20250086768A1
公开(公告)日:2025-03-13
申请号:US18580103
申请日:2022-08-29
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor: Yanhong WU , Hao FANG
Abstract: A multimedia playback monitoring system includes an authentication image generator, a playback controller, an image compressor, and an analyzer. The authentication image generator is configured to generate a first transparent image according to a display terminal, and embed first identification information into the first transparent image to obtain an identity authentication image for a playback plan. The playback controller is configured to generate data to be displayed according to a received playback plan, a multimedia file corresponding to the playback plan, and the identity authentication image. The image compressor is configured to take and compress a screenshot of a target image displayed by the display terminal to obtain compressed data. The analyzer is configured to analyze the compressed data to obtain second identification information, compare the second identification information with the first identification information, and determine whether display by the display terminal is accurate according to a comparison result.
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公开(公告)号:US20220180823A1
公开(公告)日:2022-06-09
申请号:US17532470
申请日:2021-11-22
Applicant: BOE Technology Group Co., Ltd.
Inventor: Yanhong WU , Hanwen LIU , Lijie ZHANG
IPC: G09G3/34
Abstract: The present application discloses a color image processing method, a color image processing device, an electronic ink screen, and a storage medium. The color image processing method includes: obtaining an original image, and transforming original color data of a pixel in the original image into corresponding set color data in a set color space; determining a target color corresponding to the pixel in a plurality of set colors according to the set color data corresponding to the pixel and a color ratio allocation table; and generating a target image according to the target color.
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公开(公告)号:US20210049350A1
公开(公告)日:2021-02-18
申请号:US16937175
申请日:2020-07-23
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor: Yanhong WU , Guannan CHEN , Lijie ZHANG
IPC: G06K9/00
Abstract: The present disclosure discloses a method for generating a face image, an electronic device, and a non-transitory computer-readable storage medium, the method includes: receiving a first face image and target facial expression information, and determining first facial expression information corresponding to the first face image; selecting a first reference face image matched with the first facial expression information and a second reference face image matched with the target facial expression information from a face image library; respectively extracting feature points in the first reference face image and the second reference face image, and determining face deformation information between the first reference face image and the second reference face image based on the feature points; and extracting feature points in the first face image, and generating a second face image based on the face deformation information and the feature points in the first face image.
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公开(公告)号:US20240282007A1
公开(公告)日:2024-08-22
申请号:US18024994
申请日:2022-06-30
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor: Yanhong WU , Xian WANG , Dan ZHU
CPC classification number: G06T7/90 , G06T11/001 , G06T2207/10024 , G06T2207/20081
Abstract: A method of generating a color correction model, including, acquiring first color coordinates of a sample pixel in a first color space; converting the first color coordinates of the sample pixel to second color coordinates of the sample pixel in a second color space; inputting the second color coordinates of the sample pixel into an initial color correction model to generate sample output data; and training the initial color correction model according to the sample output data and theoretical output data corresponding to the first color coordinates, to obtain a trained color correction model, where the trained color correction model is configured to perform color correction on a target pixel in each of a plurality of video standards.
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公开(公告)号:US20230147596A1
公开(公告)日:2023-05-11
申请号:US17434381
申请日:2021-02-09
Applicant: BOE Technology Group Co., Ltd.
Inventor: Yanhong WU , Lijie ZHANG
CPC classification number: G06T11/001 , G06T5/20 , G06T7/90 , G06T2207/10024 , G06T2210/62
Abstract: Embodiments of the present disclosure provide a method and apparatus for filtering image colors, an electronic device and a storage medium. The method includes: acquiring an image to be filtered, wherein a pixel point in the image to be filtered is represented by a hue value, a saturation value and a value; acquiring a retaining proportion of the pixel point in the image to be filtered, wherein a retaining proportion of any pixel point is used to indicate a degree of a saturation of the pixel point to be retained, and is positively correlated with a similarity between a hue of the pixel point and a hue to be retained of the pixel point; and acquiring a filtered image by adjusting the saturation value of the pixel point in the image to be filtered based on the retaining proportion of the pixel point in the image to be filtered.
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公开(公告)号:US20220319233A1
公开(公告)日:2022-10-06
申请号:US17642781
申请日:2021-03-10
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor: Yanhong WU , Guannan CHEN , Pablo NAVARRETE MICHELINI , Lijie ZHANG
IPC: G06V40/16
Abstract: An expression recognition method is described that includes acquiring a face image to be recognized, and inputting the face image into N different recognition models arranged in sequence for expression recognition and outputting an actual expression recognition result, the N different recognition models being configured to recognize different target expression types, wherein N is an integer greater than 1.
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