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    Image processing method and device, training method of neural network, and storage medium
    12.
    发明授权
    Image processing method and device, training method of neural network, and storage medium 有权

    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

    IPC: G06N3/045 ,  G06N3/08

    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.

    IMAGE PROCESSING METHOD, APPARATUS, ELECTRONIC DEVICE AND STORAGE MEDIUM
    13.
    发明公开
    IMAGE PROCESSING METHOD, APPARATUS, ELECTRONIC DEVICE AND STORAGE MEDIUM 审中-公开

    公开(公告)号：US20230342892A1

    公开(公告)日：2023-10-26

    申请号：US17635263

    申请日：2021-04-30

    Applicant: BOE TECHNOLOGY GROUP CO., LTD.

    Inventor： Guannan Chen ,  Mengdi Sun ,  Yan Gao ,  Lijie Zhang

    IPC: G06T5/00 ,  G06T5/20 ,  G06V10/74

    CPC classification number: G06T5/007 ,  G06T5/20 ,  G06V10/761 ,  G06T2207/20081 ,  G06T2207/20208

    Abstract: An image processing method, an apparatus, an electronic device and a non-transient computer-readable storage medium. The image processing method includes: (S11) acquiring an original image; (S12) performing a fuzzy processing to the original image to obtain a fuzzy image; (S13) performing a high-dynamic-range image to the original image by using a first network model obtained by pre-training, to obtain a first characteristic matrix, wherein the first network model includes a dense residual module and a gate-control-channel conversion module; (S14) obtaining an auxiliary characteristic matrix of the original image according to the fuzzy image, wherein the auxiliary characteristic matrix includes detail information of the original image and/or low-frequency information of the original image; (S15) obtaining a target image according to the first characteristic matrix and the auxiliary characteristic matrix.

    Convolutional neural network processor, image processing method and electronic device
    15.
    发明授权
    Convolutional neural network processor, image processing method and electronic device 有权

    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

    IPC: G06T5/00 ,  G06T3/40 ,  G06T5/20 ,  G06N3/08

    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.

    NEURAL NETWORK FOR ENHANCING ORIGINAL IMAGE, AND COMPUTER-IMPLEMENTED METHOD FOR ENHANCING ORIGINAL IMAGE USING NEURAL NETWORK
    17.
    发明申请
    NEURAL NETWORK FOR ENHANCING ORIGINAL IMAGE, AND COMPUTER-IMPLEMENTED METHOD FOR ENHANCING ORIGINAL IMAGE USING NEURAL NETWORK 有权

    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

    IPC: G06T5/00 ,  G06N3/08

    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.

    Endoscope and method of manufacturing the same, and medical detection system
    19.
    发明授权
    Endoscope and method of manufacturing the same, and medical detection system 有权

    公开(公告)号：US10194787B2

    公开(公告)日：2019-02-05

    申请号：US15159132

    申请日：2016-05-19

    Applicant: BOE TECHNOLOGY GROUP CO., LTD.

    Inventor： Zhenglong Li ,  Lijie Zhang

    IPC: A61B1/06 ,  A61B1/04 ,  A61B1/273 ,  A61B1/00

    Abstract: The present invention discloses an endoscope and a method of manufacturing the endoscope, and a medical detection system. The endoscope includes a housing; and a transparent cover structure, which includes a seal cover and at least one dissolution layer, the at least one dissolution layer wrapping around an outer surface of the seal cover, and the dissolution layer including a soluble material that can dissolve in digestive juices, wherein the housing and the transparent cover structure are connected in a sealed manner to form a sealed space, and the sealed space is provided therein with: an optical lens, which is provided in a region of the sealed space close to the transparent cover structure; a light source, which is provided in a region around the optical lens; and an image sensor, which is provided to correspond with the optical lens.

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