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公开(公告)号：US12177489B2
公开(公告)日：2024-12-24
申请号：US17615156
申请日：2021-01-20
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor： Lijie Zhang , Guannan Chen
IPC: H04N19/00 , H04N19/105 , H04N19/117 , H04N19/139 , H04N19/172 , H04N19/436 , H04N19/52 , H04N19/80
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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公开(公告)号：US20240370981A1
公开(公告)日：2024-11-07
申请号：US18030429
申请日：2022-03-24
Applicant: BOE Technology Group Co., Ltd.
Inventor： Dan Zhu , Guannan Chen , Yanhong Wu
IPC: G06T5/92 , G06T3/4053 , G06V10/771
Abstract: The present disclosure provides an image processing method, a computing system, a device, and a readable storage medium. The image processing method includes: using an inverse tone mapping neural network to process a first image, the inverse tone mapping neural network is configured to expand a dynamic range of the first image and a color gamut range of the first image to obtain a second image that is expanded, the inverse tone mapping neural network includes a mapping network, the mapping network is used to realize the expansion, and the inverse tone mapping neural network further includes an attention network, an input of the mapping network and an input of the attention network are both the first image, the attention network is used to process image contents of the first image to generate correction coefficients, and the correction coefficients are used to correct parameters of the mapping network.
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公开(公告)号：US12131584B2
公开(公告)日：2024-10-29
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
CPC classification number: G06V40/174 , G06V40/166 , G06V40/172
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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公开(公告)号：US20240062344A1
公开(公告)日：2024-02-22
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
CPC classification number: G06T5/005 , G06T3/40 , G06T5/002 , G06T5/30 , G06T5/50 , G06T7/254 , G06T7/90 , G06T2207/10016 , G06T2207/10024 , G06T2207/20016 , G06T2207/20032 , G06T2207/20081 , G06T2207/20084 , G06T2207/20224
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.
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公开(公告)号：US11803941B2
公开(公告)日：2023-10-31
申请号：US17030304
申请日：2020-09-23
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor： Guannan Chen
CPC classification number: G06T5/002 , G06T5/10 , G06T2207/20056 , G06T2207/20182
Abstract: A method for removing fringe noise in an image includes: acquiring an original image; acquiring an original frequency spectrum of one-dimensional signal of the original image; determining a noise frequency band in the original frequency spectrum, and the noise frequency band is a frequency band including a central frequency of the fringe noise; denoising the noise frequency band to obtain a denoised frequency spectrum, wherein a denoising intensity used in the denoising is gradually increased from a start frequency position of the noise frequency band, and the denoising intensity is gradually reduced from the central frequency until a stop frequency position of the noise frequency band; and generating a denoised image according to the denoised frequency spectrum.
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Patent Agency Ranking
公开(公告)号：US11800053B2
公开(公告)日：2023-10-24
申请号：US17278403
申请日：2020-05-29
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor： Yunhua Lu , Ran Duan , Guannan Chen , Lijie Zhang , Hanwen Liu
CPC classification number: H04N7/0137 , G06T3/40 , G06T7/246 , G06T7/269 , G06T7/50 , G06T2207/10016 , G06T2207/20081 , G06T2207/20084 , G06T2207/20221
Abstract: The present disclosure relates to the field of information display, and specifically to a method, device, computer readable storage medium, and electronic device for video frame interpolation. The method comprises: obtaining, based on two input frames, two initial optical flow maps corresponding to the two input frames; optimizing the initial optical flow maps to obtain target optical flow maps; obtaining an interpolation frame kernel, two depth maps and two context feature maps based on the two input frames; obtaining an output frame using a frame synthesis method based on the target optical flow maps, the depth maps, the context feature maps, and the interpolation frame kernel.
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公开(公告)号：US11689693B2
公开(公告)日：2023-06-27
申请号：US17265568
申请日：2020-04-30
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor： Yunhua Lu , Guannan Chen , Ran Duan , Lijie Zhang , Hanwen Liu
CPC classification number: H04N7/0135 , G06N20/00 , H04N7/0145
Abstract: A video frame interpolation method and device, and a computer-readable storage medium are described. The method includes: inputting at least two image frames into a video frame interpolation model to obtain at least one frame-interpolation image frame, training the initial model using a first loss to obtain a reference model, copying the reference model to obtain three reference models with shared parameters, selecting different target sample images according to a preset rules to train the first/second reference model to obtain a first/second frame-interpolation result; selecting third target sample images from the first/second frame-interpolation result to train the third reference model to obtain the frame-interpolation result, obtaining a total loss of the first training model based on the frame-interpolation result and the sample images, adjusting parameters of the first training model based on the total loss, and using a parameter model via a predetermined number of iterations as the video frame interpolation model.
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28.发明申请公开(公告)号：US20220164934A1
公开(公告)日：2022-05-26
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 , G06V10/774 , G06V10/82 , G06V10/40 , G06V10/80 , G06V10/776 , G06T3/40 , 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.
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公开(公告)号：US11151403B2
公开(公告)日：2021-10-19
申请号：US16436030
申请日：2019-06-10
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor： Guannan Chen
Abstract: The present disclosure provides a method and apparatus for segmenting a sky area, and a convolutional neural network. The method includes: acquiring, by the image input layer, an original image; extracting, by the first convolutional neural network, a plurality of sky feature images with different scales from the original image; processing, by the plurality of cascaded second convolutional neural networks, the plurality of sky feature images to output a target feature image; up-sampling, by the up-sampling layer, the target feature image to obtain an up-sampled feature image; determining, by the sky area determining layer, a pixel area of which a gray value is greater than or equal to a preset gray value in the up-sampled feature image as a sky area.
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公开(公告)号：US20200034648A1
公开(公告)日：2020-01-30
申请号：US16436030
申请日：2019-06-10
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor： Guannan Chen
Abstract: The present disclosure provides a method and apparatus for segmenting a sky area, and a convolutional neural network. The method includes: acquiring, by the image input layer, an original image; extracting, by the first convolutional neural network, a plurality of sky feature images with different scales from the original image; processing, by the plurality of cascaded second convolutional neural networks, the plurality of sky feature images to output a target feature image; up-sampling, by the up-sampling layer, the target feature image to obtain an up-sampled feature image; determining, by the sky area determining layer, a pixel area of which a gray value is greater than or equal to a preset gray value in the up-sampled feature image as a sky area.
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