ELECTRICAL IMAGE STABILIZATION (EIS)-ASSISTED DIGITAL IMAGE STABILIZATION (DIS)

    公开(公告)号:US20220286611A1

    公开(公告)日:2022-09-08

    申请号:US17194102

    申请日:2021-03-05

    IPC分类号: H04N5/232

    摘要: Digital image stabilization (DIS) may be implemented in image capture devices to address some or all above problems of local stabilization and in-frame distortions alone or in combination with electronic image stabilization (EIS) to reduce artifacts, shake leftovers, and other problems resulting from insufficient global stabilization. DIS may use image sensor motion data derived from image-based information, such as motion vectors between frames, to modify captured image data to generate corrected image frames having improved global stabilization and reduced distortion artifacts and shake leftovers resulting from camera motion. The image sensor motion data may be used in combination with non-image sensor motion data, such as data from a gyroscope an optical image stabilization (OIS) device, a magnetometer, an accelerometer, and/or auto-focus (AF) feedback to perform image stabilization. Image sensor motion data may be used to determine a translation (e.g., a three-dimensional displacement) motion of the image capture device.

    Image stabilization using machine learning

    公开(公告)号:US11277562B2

    公开(公告)日:2022-03-15

    申请号:US16995546

    申请日:2020-08-17

    IPC分类号: H04N5/232 G06N3/08

    摘要: Techniques and systems are provided for machine-learning based image stabilization. In some examples, a system obtains a sequence of frames captured by an image capture device during a period of time, and collects motion sensor measurements calculated by a motion sensor associated with the image capture device based on movement of the image capture device during the period of time. The system generates, using a deep learning network and the motion sensor measurements, parameters for counteracting motions in one or more frames in the sequence of frames, the motions resulting from the movement of the image capture device during the period of time. The system then adjusts the one or more frames in the sequence of frames according to the parameters to generate one or more adjusted frames having a reduction in at least some of the motions in the one or more frames.

    Image stabilization using machine learning

    公开(公告)号:US10771698B2

    公开(公告)日:2020-09-08

    申请号:US16120037

    申请日:2018-08-31

    IPC分类号: H04N5/232 G06N3/08

    摘要: Techniques and systems are provided for machine-learning based image stabilization. In some examples, a system obtains a sequence of frames captured by an image capture device during a period of time, and collects motion sensor measurements calculated by a motion sensor associated with the image capture device based on movement of the image capture device during the period of time. The system generates, using a deep learning network and the motion sensor measurements, parameters for counteracting motions in one or more frames in the sequence of frames, the motions resulting from the movement of the image capture device during the period of time. The system then adjusts the one or more frames in the sequence of frames according to the parameters to generate one or more adjusted frames having a reduction in at least some of the motions in the one or more frames.

    Combined electronic image stabilization and optical image stabilization

    公开(公告)号:US12052497B2

    公开(公告)日:2024-07-30

    申请号:US16847488

    申请日:2020-04-13

    IPC分类号: H04N23/68

    CPC分类号: H04N23/6811 H04N23/6812

    摘要: Example are described for combining optical image stabilization and electronic image stabilization for capture and processing of frames for video. An example device configured to perform electronic image stabilization in light of optical image stabilization performed may include a memory and one or more processors. The one or more processors may be configured to obtain optical image stabilization (OIS) information for OIS performed during capture of a sequence of frames by an image sensor and determine an electronic image stabilization (EIS) filter based on the OIS information. The one or more processors may also be configured to obtain camera position information, and the EIS filter may also be based on the camera position information. The one or more processors may also configure an image signal processor to perform EIS based on the EIS filter.