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公开(公告)号：US11736806B2
公开(公告)日：2023-08-22
申请号：US17521120
申请日：2021-11-08
Applicant: GoPro, Inc.
Inventor： Guillaume Matthieu Guérin , Giuseppe Moschetti , Sylvain Leroy , Yoël Taïeb
IPC: H04N23/73 , H04N23/71 , H04N23/698
CPC classification number: H04N23/73 , H04N23/698 , H04N23/71
Abstract: Auto exposure metering is adapted for spherical panoramic content. Using input image data, a first metering map is generated for a selected image sensor and a second metering map is generated for an unselected image sensor. Auto exposure level values for the selected image sensor and for the unselected image sensor are respectively metered using the first metering map and the second metering map, such as by adjusting luminance weights in certain locations of the respective image sensor panoramic image capture band. Hemispherical images are processed using the auto exposure metered level values and stitched together in a panoramic format to produce a spherical panoramic image. The metering maps are generated to account for areas of greatest image data importance relative to a primary orientation direction of the spherical panoramic image. This allows for effective auto exposure metering of such areas within the resulting spherical panoramic image.
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公开(公告)号：US20230058472A1
公开(公告)日：2023-02-23
申请号：US17795523
申请日：2021-01-27
Applicant: GoPro, Inc.
Inventor： Sylvain Leroy , Guillaume Matthieu Guerin , Yoël Taïeb
Abstract: Systems and methods are disclosed for sensor prioritization for composite image capture. For example, methods may include selecting an image sensor as a prioritized sensor from among an array of two or more image sensors; determining one or more image processing parameters based on one or more images captured using the prioritized sensor; applying image processing using the one or more image processing parameters to images captured with each image sensor in the array of two or more image sensors to obtain respective processed images for the array of two or more image sensors; and stitching the respective processed images for the array of two or more image sensors to obtain a composite image.
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Patent Agency Ranking
公开(公告)号：US20220232153A1
公开(公告)日：2022-07-21
申请号：US17713606
申请日：2022-04-05
Applicant: GoPro, Inc.
Inventor： Guillaume Matthieu Guérin , Sylvain Leroy , Yoël Taïeb , Giuseppe Moschetti
IPC: H04N5/225 , H04N5/235 , H04N13/156 , H04N9/77 , G06T3/40
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.
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公开(公告)号：US11238285B2
公开(公告)日：2022-02-01
申请号：US17222538
申请日：2021-04-05
Applicant: GoPro, Inc.
Inventor： Sylvain Leroy , Adrien Cariou , Miguel Marques , Julien Caron , Bruno Faure , Stéphane Belardi
Abstract: Image analysis includes obtaining, from an image signal processor, image processing information corresponding to a previously processed image, obtaining scene classification information for an input image based on the image processing information, generating a processed image by processing the input image based on the scene classification information, and outputting the processed image. The image processing information includes automatic white balance correction information and obtaining the scene classification information includes obtaining the scene classification information based on the automatic white balance correction information.
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公开(公告)号：US20210224543A1
公开(公告)日：2021-07-22
申请号：US17222538
申请日：2021-04-05
Applicant: GoPro, Inc.
Inventor： Sylvain Leroy , Adrien Cariou , Miguel Marques , Julien Caron , Bruno Faure , Stéphane Belardi
Abstract: Image analysis includes obtaining, from an image signal processor, image processing information corresponding to a previously processed image, obtaining scene classification information for an input image based on the image processing information, generating a processed image by processing the input image based on the scene classification information, and outputting the processed image. The image processing information includes automatic white balance correction information and obtaining the scene classification information includes obtaining the scene classification information based on the automatic white balance correction information.
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公开(公告)号：US10970552B2
公开(公告)日：2021-04-06
申请号：US16142608
申请日：2018-09-26
Applicant: GoPro, Inc.
Inventor： Sylvain Leroy , Adrien Cariou , Miguel Marques , Julien Caron , Bruno Faure , Stéphane Belardi
Abstract: Image analysis includes obtaining, from an image signal processor, image processing information corresponding to a previously processed image, obtaining scene classification information for an input image based on the image processing information, generating a processed image by processing the input image based on the scene classification information, and outputting the processed image. The image processing information includes automatic white balance correction information and obtaining the scene classification information includes obtaining the scene classification information based on the automatic white balance correction information.
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公开(公告)号：US20210084205A1
公开(公告)日：2021-03-18
申请号：US16994264
申请日：2020-08-14
Applicant: GoPro, Inc.
Inventor： Guillaume Matthieu Guérin , Sylvain Leroy , Yoël Taïeb , Giuseppe Moschetti
IPC: H04N5/225 , H04N5/235 , H04N9/77 , G06T3/40 , H04N13/156
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.
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