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    MOTION COMPENSATION FOR NEURAL NETWORK ENHANCED IMAGES
    1.
    发明申请
    MOTION COMPENSATION FOR NEURAL NETWORK ENHANCED IMAGES 有权

    公开(公告)号：US20230025778A1

    公开(公告)日：2023-01-26

    申请号：US17382658

    申请日：2021-07-22

    Applicant: QUALCOMM Incorporated

    Inventor： Alireza SHOA HASSANI LASHDAN ,  Stone Yun ,  Darren GNANAPRAGASAM

    IPC: G06T5/50 ,  G06T9/00 ,  G06T5/20 ,  G06T3/40 ,  G06T1/20 ,  G06N3/02

    Abstract: A device includes a memory and one or more processors. The memory is configured to store instructions. The one or more processors are configured to execute the instructions to apply a neural network to a first image to generate an enhanced image. The one or more processors are also configured to execute the instructions to adjust at least a portion of a high-frequency component of the enhanced image based on a motion compensation operation to generate an adjusted high-frequency image component. The one or more processors are further configured to execute the instructions to combine a low-frequency component of the enhanced image and the adjusted high-frequency image component to generate an adjusted enhanced image.

    System and method to process images of a video stream
    3.
    发明授权
    System and method to process images of a video stream 有权

    公开(公告)号：US11538136B2

    公开(公告)日：2022-12-27

    申请号：US17083146

    申请日：2020-10-28

    Applicant: QUALCOMM Incorporated

    Inventor： Stone Yun ,  Alireza Shoa Hassani Lashdan ,  Darren Gnanapragasam ,  David Hansen

    IPC: G06T5/00 ,  G06T5/50

    Abstract: A device includes a memory configured to store an adapted network that is configured to generate a modified image based on a single image. The device includes a processor configured to obtain, from a stream of video data, a first distorted image depicting an object, and to provide the first distorted image to the adapted network to generate a first modified image. The processor is configured to obtain, from the stream of video data, a second distorted image depicting the object, and to provide the second distorted image to the adapted network to generate a second modified image. The object is distorted differently in the second distorted image than in the first distorted image. The processor is configured to generate a video output including the first modified image and the second modified image without visible artifacts due to distortion differences between the first distorted image and the second distorted image.

    Processing data in pixel-to-pixel neural networks
    4.
    发明授权
    Processing data in pixel-to-pixel neural networks 有权

    公开(公告)号：US12254405B2

    公开(公告)日：2025-03-18

    申请号：US17200090

    申请日：2021-03-12

    Applicant: QUALCOMM Incorporated

    Inventor： David Hansen ,  Alireza Shoa Hassani Lashdan ,  Sivakumar Chidambaram ,  Haoping Xu ,  Jeffrey Kar Fai Wong ,  Stone Yun ,  Darren Gnanapragasam

    IPC: G06N3/08 ,  G06F18/21 ,  G06V10/82

    Abstract: Technologies are provided for processing data in neural networks. An example method can include processing, by each layer of a neural network, a row in a first stripe of a data input, the row being processed sequentially in a horizontal direction and according to a layer-by-layer sequence; after processing the row, processing, by each layer, subsequent rows in the first stripe on a row-by-row basis, each subsequent row being processed sequentially in the horizontal direction and according to the layer-by-layer sequence; generating an output stripe based on the processing of the row and subsequent rows; processing, by each layer, a second stripe of the data input, each row in the second stripe being processed in the horizontal direction and according to the layer-by-layer sequence, wherein rows in the second stripe are processed on a row-by-row basis; and generating another output stripe based on the processing of the second stripe.

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