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公开(公告)号:US20200260001A1
公开(公告)日:2020-08-13
申请号:US16735156
申请日:2020-01-06
Applicant: GoPro, Inc.
Inventor: Bruno César Douady-Pleven , Michael Serge Andre Kraak , Guillaume Matthieu Guérin , Thomas Nicolas Emmanuel Veit
IPC: H04N5/232 , H04N5/357 , H04N9/04 , H04N1/60 , G06T5/00 , G06T3/40 , H04N5/235 , H04N9/68 , H04N9/64 , G06T5/50 , H04N9/77 , H04N9/73 , H04N1/407
Abstract: A system accesses an image with each pixel of the image having luminance values each representative of a color component of the pixel. The system generates a first histogram for aggregate luminance values of the image, and accesses a target histogram for the image representative of a desired global image contrast. The system computes a transfer function based on the first histogram and the target histogram such that when the transfer function is applied, a histogram of the modified aggregate luminance values is within a threshold similarity of the target histogram. The system modifies the image by applying the transfer function to the luminance values of the image to produce a tone mapped image, and outputs the modified image.
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公开(公告)号:US20180097992A1
公开(公告)日:2018-04-05
申请号:US15821032
申请日:2017-11-22
Applicant: GoPro, Inc.
Inventor: Bruno César Douady-Pleven , Michael Serge Andre Kraak , Guillaume Matthieu Guérin , Thomas Nicolas Emmanuel Veit
CPC classification number: H04N5/23229 , G06T3/4015 , G06T5/004 , G06T5/009 , G06T5/50 , G06T2207/10016 , G06T2207/10024 , G06T2207/20012 , G06T2207/20182 , H04N1/4074 , H04N1/6008 , H04N1/603 , H04N5/232 , H04N5/2355 , H04N5/357 , H04N5/3572 , H04N9/045 , H04N9/643 , H04N9/646 , H04N9/68 , H04N9/735 , H04N9/77 , H04N2209/046
Abstract: A system accesses an image with each pixel of the image having luminance values each representative of a color component of the pixel. The system generates a first histogram for aggregate luminance values of the image, and accesses a target histogram for the image representative of a desired global image contrast. The system computes a transfer function based on the first histogram and the target histogram such that when the transfer function is applied, a histogram of the modified aggregate luminance values is within a threshold similarity of the target histogram. The system modifies the image by applying the transfer function to the luminance values of the image to produce a tone mapped image, and outputs the modified image.
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公开(公告)号:US20250159364A1
公开(公告)日:2025-05-15
申请号:US19024929
申请日:2025-01-16
Applicant: GoPro, Inc.
Inventor: Bruno César Douady , Michael Serge Andre Kraak , Guillaume Matthieu Guérin , Thomas Nicolas Emmanuel Veit
IPC: H04N23/80 , G06T3/4015 , G06T5/40 , G06T5/50 , G06T5/75 , G06T5/92 , H04N1/407 , H04N1/60 , H04N9/64 , H04N9/68 , H04N9/77 , H04N23/10 , H04N23/60 , H04N23/741 , H04N23/88 , H04N25/60 , H04N25/61
Abstract: A non-transitory computer-readable storage medium stores executable instructions that, when executed by a processor, cause performance of operations comprising operations to access an image captured by an image sensor, obtain a transfer function for mapping pixel values, determine a faces indication that reflects a proportion of a scene depicted in the image that includes one or more human faces, and modify the transfer function based on the faces indication. Modifying the transfer function based on the faces indication comprises adjusting a gain of the transfer function to move the gain closer to unity. The operations include to apply the transfer function to pixel values of the image to produce a tone mapped image and output the tone mapped image.
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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.
Inventor: Guillaume Matthieu Guérin , Sylvain Leroy , Yoël Taïeb , Giuseppe Moschetti
IPC: H04N13/128 , G06T3/4038 , H04N9/77 , H04N13/156 , H04N23/45 , H04N23/71 , H04N23/73
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.
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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.
Inventor: Guillaume Matthieu Guérin , Bruno César Douady
CPC classification number: G06T5/009 , H04N23/10 , H04N23/51 , G06T2207/10016 , G06T2207/20021
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.
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公开(公告)号:US20240073496A1
公开(公告)日:2024-02-29
申请号:US18388472
申请日:2023-11-09
Applicant: GoPro, Inc.
Inventor: Guillaume Matthieu Guérin , Sylvain Leroy , Yoël Taïeb , Giuseppe Moschetti
CPC classification number: H04N23/45 , G06T3/4038 , H04N9/77 , H04N13/156 , H04N23/71 , H04N23/73
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.
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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.
Inventor: Guillaume Matthieu Guérin , Sylvain Leroy , Yoël Taïeb , Giuseppe Moschetti
CPC classification number: H04N23/45 , G06T3/4038 , H04N9/77 , H04N13/156 , H04N23/71 , H04N23/73
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:US11758280B2
公开(公告)日:2023-09-12
申请号:US17749689
申请日:2022-05-20
Applicant: GoPro, Inc.
Inventor: Guillaume Matthieu Guérin , Julien Caron
IPC: H04N23/741 , G06T5/20 , G06T5/00 , G06T3/40
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.
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公开(公告)号:US20230247281A1
公开(公告)日:2023-08-03
申请号:US18134123
申请日:2023-04-13
Applicant: GoPro, Inc.
Inventor: Bruno César Douady , Michael Serge Andre Kraak , Guillaume Matthieu Guérin , Thomas Nicolas Emmanuel Veit
IPC: H04N23/60 , H04N19/10 , H04N19/136 , H04N19/176 , H04N19/423 , H04N19/70 , H04N19/85 , H04N19/90 , G06T7/80 , H04N13/271 , G06T3/00 , G06T3/40 , G06T5/20 , G06T5/50 , H04N17/00 , H04N23/45 , H04N23/90 , H04N23/698 , H04N25/61
CPC classification number: H04N23/64 , H04N19/10 , H04N19/136 , H04N19/176 , H04N19/423 , H04N19/70 , H04N19/85 , H04N19/90 , G06T7/85 , H04N13/271 , G06T3/0093 , G06T3/4038 , G06T5/20 , G06T5/50 , H04N17/002 , H04N23/45 , H04N23/90 , H04N23/698 , H04N25/61 , H04N13/239
Abstract: Systems and methods are disclosed for image signal processing. For example, methods may include receiving a current image of a sequence of images from an image sensor; combining the current image with a recirculated image to obtain a noise reduced image, where the recirculated image is based on one or more previous images of the sequence of images from the image sensor; determining a noise map for the noise reduced image, where the noise map is determined based on estimates of noise levels for pixels in the current image, a noise map for the recirculated image, and a set of mixing weights; recirculating the noise map with the noise reduced image to combine the noise reduced image with a next image of the sequence of images from the image sensor; and storing, displaying, or transmitting an output image that is based on the noise reduced image.
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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.
Inventor: Bruno César Douady , Guillaume Matthieu Guérin
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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