IMAGE CORRECTION BASED ON ACTIVITY DETECTION

    公开(公告)号:US20240373128A1

    公开(公告)日:2024-11-07

    申请号:US18724917

    申请日:2021-12-31

    Abstract: The present disclosure provides systems, apparatus, methods, and computer-readable media that support adapting image processing based on the user activity performed while recording an image. In a first aspect, a method of image processing may include determining a type of activity based on sensor data, such as motion sensors and/or image sensor data. The type of activity may be provided to an image processing algorithm, such as an image/video stabilization algorithm, which adapts based on the activity type. For example, a rolling shutter correction may have a strength factor that is adapted to lower values when the type of activity is a panning motion when faces are present in the frame. As another example, another image stabilization (IS) algorithm such as an electronic image stabilization (EIS) algorithm may have adaptive behavior adjusted based on the type of activity. Other aspects and features are also claimed and described.

    IMAGE FUSION
    2.
    发明申请

    公开(公告)号:US20220392036A1

    公开(公告)日:2022-12-08

    申请号:US17756241

    申请日:2020-05-01

    Abstract: In general, techniques are described regarding fusing or combining frames of image data to generate composite frames of image data. Cameras comprising camera processors configured to perform the techniques are also disclosed. A camera processor may capture multiple frames at various focal lengths. The frames of image data may have various regions of the respective frame in focus, whereas other regions of the respective frame may not be in focus, due to particular configurations of lens and sensor combinations used. The camera processor may combine the frames to achieve a single composite frame having both a first region (e.g., a center region) and a second region (e.g., an outer region) in focus.

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