APPARATUS AND METHODS FOR FRAME INTERPOLATION
    141.
    发明申请

    公开(公告)号:US20180063551A1

    公开(公告)日:2018-03-01

    申请号:US15251980

    申请日:2016-08-30

    Applicant: GoPro, Inc.

    Abstract: Apparatus and methods for generating interpolated frames in digital image or video data. In one embodiment, the interpolation is based on a hierarchical tree sequence. At each level of the tree, an interpolated frame may be generated using original or interpolated frames of the video, such as those closest in time to the desired time of the frame to be generated. The sequence proceeds through lower tree levels until a desired number of interpolated frames, a desired video length, a desired level, or a desired visual quality for the video is reached. In some implementations, the sequence may use different interpolation algorithms (e.g., of varying computational complexity or types) at different levels of the tree. The interpolation algorithms can include for example those based on frame repetition, frame averaging, motion compensated frame interpolation, and motion blending.

    Unified image processing for combined images based on spatially co-located zones

    公开(公告)号:US09786077B2

    公开(公告)日:2017-10-10

    申请号:US14872063

    申请日:2015-09-30

    Applicant: GoPro, Inc.

    Abstract: A unified image processing algorithm results in better post-processing quality for combined images that are made up of multiple single-capture images. To ensure that each single-capture image is processed in the context of the entire combined image, the combined image is analyzed to determine portions of the image (referred to as “zones”) that should be processed with the same parameters for various image processing algorithms. These zones may be determined based on the content of the combined image. Alternatively, these zones may be determined based on the position of each single-capture image with respect to the entire combined image or the other single-capture images. Once zones and their corresponding image processing parameters are determined for the combined image, they are translated to corresponding zones each of the single-capture images. Finally, the image processing algorithms are applied to each of the single-capture images using the zone-specified parameters.

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