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公开(公告)号:US20250063204A1
公开(公告)日:2025-02-20
申请号:US18818831
申请日:2024-08-29
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor: Lijie ZHANG , Guannan CHEN
IPC: H04N19/80 , H04N19/105 , H04N19/117 , H04N19/139 , H04N19/172 , H04N19/436 , H04N19/52
Abstract: The present disclosure relates to the field of image processing technology, and in particular, to image encoding, decoding methods and devices, an encoder-decoder. The method includes: acquiring a visual saliency heat map of an image of a current frame, and filtering, by using the visual saliency heat map of the image of the current frame, the image of the current frame to obtain a target image; acquiring, by using the target image and an input image of a next frame, a motion estimation vector and a target prediction image of the input image of the next frame; and encoding a difference image between the input image of the next frame and the target prediction image and the motion estimation vector.
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12.
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
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.
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13.
公开(公告)号:US20240177271A1
公开(公告)日:2024-05-30
申请号:US18283007
申请日:2023-01-03
Applicant: BOE Technology Group Co., Ltd.
Inventor: Yunhua LU , Guannan CHEN , Pablo NAVARRETE MICHELINI
IPC: G06T5/50 , G06T7/13 , G06V10/44 , G06V10/771 , G06V10/80
CPC classification number: G06T5/50 , G06T7/13 , G06V10/44 , G06V10/771 , G06V10/806 , G06T2207/20192 , G06T2207/20221
Abstract: An image processing method, comprising: by using a trained multi-scale detail enhancement model, performing detail enhancement on an input image to be processed; wherein multi-scale decomposition is performed on the input image to obtain a base layer image and at least one detail layer image; a first residual feature corresponding to a first feature map is acquired, and a second residual feature corresponding to a second feature map of each detail layer image is acquired; a base layer output image is obtained according to the first residual feature, each second residual feature and the first feature map, and a detail layer output image corresponding to the detail layer image is obtained according to the first residual feature, each second residual feature and the second feature map; and image fusion is performed on the base layer output image and each detail layer output image to obtain an output image.
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14.
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:US20200334819A1
公开(公告)日:2020-10-22
申请号:US16651946
申请日:2019-09-19
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor: Guannan CHEN , Lijie ZHANG
Abstract: The present disclosure provides an image segmentation apparatus, method and relevant computing device. The image segmentation apparatus comprises: a feature extractor configured to extract N image semantic features having different scales from an input image, where N is an integer not less than 3; and a feature processor comprising cascaded dense-refine networks and being configured to perform feature processing on the N image semantic features to obtain a binarized mask image for the input image. A dense-refine network is configured to generate a low-frequency semantic feature from semantic features input thereto by performing densely-connected convolution processing on the semantic features respectively to obtain respective image global features, performing feature fusion on the image global features to obtain a fused image global feature, and performing pooling processing on the fused image global feature to generate and output the low-frequency semantic feature. The semantic features are selected from a group consisting of the N image sematic features and low-frequency semantic features generated by dense-refine networks. The feature processor is configured to obtain the binarized mask image based on low-frequency semantic features generated by the dense-refine networks.
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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.
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17.
公开(公告)号:US20240202891A1
公开(公告)日:2024-06-20
申请号:US17910020
申请日:2021-09-17
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor: Mengdi SUN , Guannan CHEN
CPC classification number: G06T5/92 , G06T5/50 , G06T2207/20081 , G06T2207/20208
Abstract: A method for training an image processing model includes: inputting a low dynamic range image into a first initial image processing model, so that a high dynamic range reconstruction processing is performed on the low dynamic range image to generate a first high dynamic range image; inputting the low dynamic range image into a second initial image processing model to generate a first coefficient; generating a second high dynamic range image according to the first high dynamic range image and the first coefficient; generating a loss function according to data pairs of the second high dynamic range image and a real high dynamic range image, the real high dynamic range image corresponding to the low dynamic range image; and training the first initial image processing model and the second initial image processing model with the loss function.
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18.
公开(公告)号:US20230325973A1
公开(公告)日:2023-10-12
申请号:US17425715
申请日:2020-10-30
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor: Jingru WANG , Guannan CHEN , Fengshuo HU , Hanwen LIU
CPC classification number: G06T3/4046 , G06T2207/20016 , G06T5/001
Abstract: The present disclosure provides an image processing method, an image processing device, an electronic device and a computer-readable storage medium. The image processing method includes: receiving an input image; and processing the input image through a first generator to acquire an output image with definition higher than the input image. The first generator is acquired through training a to-be-trained generator using at least two discriminators. According to the embodiments of the present disclosure, the first generator for repairing the image is acquired through training with at least two discriminators, so it is able to provide the repaired image with more details, thereby to improve a repair effect.
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公开(公告)号:US20230171435A1
公开(公告)日:2023-06-01
申请号:US17615156
申请日:2021-01-20
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor: Lijie ZHANG , Guannan CHEN
IPC: H04N19/80 , H04N19/117 , H04N19/172 , H04N19/139 , H04N19/52 , H04N19/105 , H04N19/436
CPC classification number: H04N19/80 , H04N19/117 , H04N19/172 , H04N19/139 , H04N19/52 , H04N19/105 , H04N19/436
Abstract: The present disclosure relates to the field of image processing technology, and in particular, to image encoding, decoding methods and devices, an encoder-decoder. The method includes: acquiring a visual saliency heat map of an image of a current frame, and filtering, by using the visual saliency heat map of the image of the current frame, the image of the current frame to obtain a target image; acquiring, by using the target image and an input image of a next frame, a motion estimation vector and a target prediction image of the input image of the next frame; and encoding a difference image between the input image of the next frame and the target prediction image and the motion estimation vector.
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20.
公开(公告)号:US20230069654A1
公开(公告)日:2023-03-02
申请号:US17774610
申请日:2021-05-14
Applicant: BOE Technology Group Co., Ltd.
Inventor: Hanwen LIU , Tingting WANG , Guannan CHEN
IPC: G06T5/00
Abstract: An image processing method and an image processing model training method and device. The image processing method comprises: obtaining a first original image to be processed (S101), and downsampling and blurring said first original image according to a configured downsampling processing algorithm and blur parameter to obtain a degraded image (S102). In the method, a new photo can be downsampled and blurred to obtain the degraded image similar to an old photo, and a good training sample is provided for the application of machine learning in the old photo restoration technology. An image processing model applied in the old photo restoration technology is trained on the basis of the training sample, so as to obtain the image processing model having stronger restoration capability, and when the old photo is restored by using the image processing model, the restoration efficiency is higher, and the restoration effect is better.
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