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    Learning-based lens flare removal
    1.
    发明授权
    Learning-based lens flare removal 有权

    公开(公告)号：US12033309B2

    公开(公告)日：2024-07-09

    申请号：US17625994

    申请日：2020-11-09

    Applicant: Google LLC

    Inventor： Yicheng Wu ,  Qiurui He ,  Tianfan Xue ,  Rahul Garg ,  Jiawen Chen ,  Jonathan T. Barron

    IPC: G06T7/80 ,  G06T3/40 ,  G06T5/10 ,  G06T5/20 ,  G06T5/80

    CPC classification number: G06T5/80 ,  G06T3/40 ,  G06T5/10 ,  G06T5/20 ,  G06T7/80 ,  G06T2207/20081 ,  G06T2207/20084

    Abstract: A method includes obtaining an input image that contains a particular representation of lens flare, and processing the input image by a machine learning model to generate a de-flared image that includes the input image with at least part of the particular representation of lens flare removed. The machine learning (ML) model may be trained by generating training images that combine respective baseline images with corresponding lens flare images. For each respective training image, a modified image may be determined by processing the respective training image by the ML model, and a loss value may be determined based on a loss function comparing the modified image to a corresponding baseline image used to generate the respective training image. Parameters of the ML model may be adjusted based on the loss value determined for each respective training image and the loss function.

    LOW-LIGHT AUTOFOCUS TECHNIQUE
    2.
    发明申请
    LOW-LIGHT AUTOFOCUS TECHNIQUE 有权

    公开(公告)号：US20240430577A1

    公开(公告)日：2024-12-26

    申请号：US18823647

    申请日：2024-09-03

    Applicant: Google LLC

    Inventor： Ying Chen Lou ,  Leung Chun Chan ,  Kiran Murthy ,  Qiurui He ,  Szepo Robert Hung ,  Sushil Nath

    IPC: H04N23/73 ,  H04N23/71

    Abstract: The present disclosure relates to a low-light autofocus technique. One example embodiment includes a method. The method includes receiving an indication of a low-light condition for a camera system. The method also includes determining an extended exposure time for a low-light autofocus procedure of the camera system. Further, the method includes capturing, by the camera system, an extended frame for the low-light autofocus procedure. The extended frame is captured by the camera system using the determined extended exposure time. In addition, the method includes determining, based on the captured extended frame, an in-focus lens setting for a lens of the camera system.

    Low-light autofocus technique
    3.
    发明授权
    Low-light autofocus technique 有权

    公开(公告)号：US12114078B2

    公开(公告)日：2024-10-08

    申请号：US17754179

    申请日：2019-10-11

    Applicant: Google LLC

    Inventor： Ying Chen Lou ,  Leung Chun Chan ,  Kiran Murthy ,  Qiurui He ,  Szepo Robert Hung ,  Sushil Nath

    IPC: H04N23/73 ,  H04N23/71

    CPC classification number: H04N23/73 ,  H04N23/71

    Abstract: The present disclosure relates to a low-light autofocus technique. One example embodiment includes a method. The method includes receiving an indication of a low-light condition for a camera system. The method also includes determining an extended exposure time for a low-light autofocus procedure of the camera system. Further, the method includes capturing, by the camera system, an extended frame for the low-light autofocus procedure. The extended frame is captured by die camera system using the determined extended exposure time. In addition, the method includes determining, based on the captured extended frame, an in-focus lens setting for a lens of the camera system.

    LOW-LIGHT AUTOFOCUS TECHNIQUE
    6.
    发明申请
    LOW-LIGHT AUTOFOCUS TECHNIQUE 有权

    公开(公告)号：US20220294964A1

    公开(公告)日：2022-09-15

    申请号：US17754179

    申请日：2019-10-11

    Applicant: Google LLC

    Inventor： Ying Chen Lou ,  Leung Chun Chan ,  Kiran Murthy ,  Qiurui He ,  Szepo Robert Hung ,  Sushil Nath

    IPC: H04N5/235

    Abstract: The present disclosure relates to a low-light autofocus technique. One example embodiment includes a method. The method includes receiving an indication of a low-light condition for a camera system. The method also includes determining an extended exposure time for a low-light autofocus procedure of the camera system. Further, the method includes capturing, by the camera system, an extended frame for the low-light autofocus procedure. The extended frame is captured by die camera system using the determined extended exposure time. In addition, the method includes determining, based on the captured extended frame, an in-focus lens setting for a lens of the camera system.

    Learning-Based Lens Flare Removal
    9.
    发明公开
    Learning-Based Lens Flare Removal 审中-公开

    公开(公告)号：US20240320808A1

    公开(公告)日：2024-09-26

    申请号：US18734000

    申请日：2024-06-05

    Applicant: Google LLC

    Inventor： Yicheng Wu ,  Qiurui He ,  Tianfan Xue ,  Rahul Garg ,  Jiawen Chen ,  Jonathan T. Barron

    IPC: G06T5/80 ,  G06T3/40 ,  G06T5/10 ,  G06T5/20 ,  G06T7/80

    CPC classification number: G06T5/80 ,  G06T3/40 ,  G06T5/10 ,  G06T5/20 ,  G06T7/80 ,  G06T2207/20081 ,  G06T2207/20084

    Abstract: A method includes obtaining an input image that contains a particular representation of lens flare, and processing the input image by a machine learning model to generate a de-flared image that includes the input image with at least part of the particular representation of lens flare removed. The machine learning (ML) model may be trained by generating training images that combine respective baseline images with corresponding lens flare images. For each respective training image, a modified image may be determined by processing the respective training image by the ML model, and a loss value may be determined based on a loss function comparing the modified image to a corresponding baseline image used to generate the respective training image. Parameters of the ML model may be adjusted based on the loss value determined for each respective training image and the loss function.

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