Auto exposure for spherical images
    14.
    发明授权

    公开(公告)号:US12212823B2

    公开(公告)日:2025-01-28

    申请号:US18388472

    申请日:2023-11-09

    Applicant: GoPro, Inc.

    Abstract: Auto exposure processing for spherical images improves image quality by reducing visible exposure level variation along a stitch line within a spherical image. An average global luminance value is determined based on luminance values determined for first and second images, which are based on auto exposure configurations of first and second image sensors used to obtain those first and second images. Delta luminance values are determined for the first and second images using the average global luminance value. The first and second images are then updated using the delta luminance values, and the updated first and second images are used to produce a spherical image.

    Tone mapping and tone control integrations for image processing

    公开(公告)号:US11941789B2

    公开(公告)日:2024-03-26

    申请号:US17285387

    申请日:2019-06-13

    Applicant: GoPro, Inc.

    Abstract: An image is processed using a combination of techniques, particularly, in which low frequency information is processed using multiple tone control and high frequency information is processed using local tone mapping. An image is divided into a plurality of blocks including a given block. Low frequency information and high frequency information of the given block are separated. The low frequency information is processed using multiple tone control. The high frequency information is processed using local tone mapping. A processed image is then produced based on the processed low frequency information and based on the processed high frequency information, the processed image corresponding to the image captured using the image sensor. The processed image is then output for storage or display. Processing the low frequency information can include using a gain curve and bilinear interpolation. Processing the high frequency information can include using an edge preservation filter.

    Auto exposure for spherical images
    17.
    发明授权

    公开(公告)号:US11825179B2

    公开(公告)日:2023-11-21

    申请号:US17713606

    申请日:2022-04-05

    Applicant: GoPro, Inc.

    Abstract: Auto exposure processing for spherical images improves image quality by reducing visible exposure level variation along a stitch line within a spherical image. An average global luminance value is determined based on auto exposure configurations of first and second image sensors. Delta luminance values are determined for each of the image sensors based on the average global luminance value and a luminance variance between the image sensors. The auto exposure configurations of the image sensors are then updated using the delta luminance values, and the updated auto exposure configurations are used to capture images which are then combined to produce the spherical image. In some cases wherein updating the auto exposure configurations using the delta luminance values would breach a threshold representing a target luminosity for the scene, the use of the delta luminance values may be limited or those values may instead be discarded.

    Field variable tone mapping for 360 content

    公开(公告)号:US11758280B2

    公开(公告)日:2023-09-12

    申请号:US17749689

    申请日:2022-05-20

    Applicant: GoPro, Inc.

    CPC classification number: H04N23/741 G06T3/4038 G06T5/009 G06T5/20

    Abstract: Image capture devices and methods may use field variable tone mapping for 360 content. An image capture device may comprise an image sensor and a processor. The image sensor may capture a hyper-hemispherical image that includes an image circle portion. The processor may perform local tone mapping (LTM) on a first area of the image circle portion and perform global tone mapping (GTM) on a second area of pixels of the image circle portion. The GTM may be performed on a condition that a portion of a predefined area of pixels overlaps with a stitch line. The processor may be configured to stitch the hyper-hemispherical image and a second hyper-hemispherical image at the stitch line to obtain a processed image. The processor may be configured to display, store, output, or transmit the processed image.

    High dynamic range processing on spherical images

    公开(公告)号:US11553137B2

    公开(公告)日:2023-01-10

    申请号:US16899770

    申请日:2020-06-12

    Applicant: GoPro, Inc.

    Abstract: Image signal processing includes obtaining two or more image signals from a first hyper-hemispherical image sensor, where each of the two or more image signals has a different exposure and obtaining two or more image signals from a second hyper-hemispherical image sensor, where each of the two or more image signals has a different exposure. Image signal processing includes generating an exposure compensated image based on a gain value applied to an exposure level of a first image and a gain value applied to an exposure level of a second image. Image signal processing further includes performing high dynamic range (HDR) processing on the exposure compensated image. The HDR processing may be performed on a high a frequency portion of the exposure compensated image.

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