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公开(公告)号：US20200258200A1
公开(公告)日：2020-08-13
申请号：US16859311
申请日：2020-04-27
Applicant: GoPro, Inc.
Inventor： Bruno César Douady-Pleven , Thomas Nicolas Emmanuel Veit , Marc Lebrun
Abstract: Systems and methods are disclosed for non-local means denoising of images. For example, methods may include receiving an image from an image sensor; determining a set of non-local means weights for the image; applying the set of non-local means weights to the image to obtain a first denoised image; applying the set of non-local means weights to the first denoised image to obtain a second denoised image; and storing, displaying, or transmitting an output image based on the second denoised image.
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公开(公告)号：US10554903B2
公开(公告)日：2020-02-04
申请号：US16368974
申请日：2019-03-29
Applicant: GoPro, Inc.
Inventor： Guillaume Matthieu Guerin , Antoine Regimbeau , Thomas Nicolas Emmanuel Veit , Bruno César Douady-Pleven , Violaine Marie Mong-lan Sudret
Abstract: Systems and methods are disclosed for image signal processing. For example, methods may include receiving an image from an image sensor; applying a filter to the image to obtain a low-frequency component image and a high-frequency component image; determining a first enhanced image based on a weighted sum of the low-frequency component image and the high-frequency component image, where the high-frequency component image is weighted more than the low-frequency component image; determining a second enhanced image based on the first enhanced image and a tone mapping; and storing, displaying, or transmitting an output image based on the second enhanced image.
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公开(公告)号：US20190356873A1
公开(公告)日：2019-11-21
申请号：US15984837
申请日：2018-05-21
Applicant: GoPro, Inc.
IPC: H04N5/357 , H01L27/146
Abstract: Image signal processing may include flare reduction, which may include obtaining a first input frame captured by a first image capture device of an image capture apparatus, the first image capture device having a first field-of-view, and the first input frame including lens flare corresponding to a primary light source; obtaining a second input frame captured by a second image capture device of the image capture apparatus, the second image capture device having a second field-of-view partially overlapping the first field-of-view; obtaining primary light source information corresponding to the primary light source based on the first input frame and the second input frame; obtaining a processed frame by modifying the first input frame based on the primary light source information to minimize the lens flare; and outputting the processed frame.
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公开(公告)号：US10284785B2
公开(公告)日：2019-05-07
申请号：US15690772
申请日：2017-08-30
Applicant: GoPro, Inc.
Inventor： Guillaume Matthieu Guerin , Antoine Regimbeau , Thomas Nicolas Emmanuel Veit , Bruno Cesar Douady-Pleven , Violaine Marie Mong-lan Sudret
Abstract: Systems and methods are disclosed for image signal processing. For example, methods may include receiving an image from an image sensor; applying a filter to the image to obtain a low-frequency component image and a high-frequency component image; determining a first enhanced image based on a weighted sum of the low-frequency component image and the high-frequency component image, where the high-frequency component image is weighted more than the low-frequency component image; determining a second enhanced image based on the first enhanced image and a tone mapping; and storing, displaying, or transmitting an output image based on the second enhanced image.
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公开(公告)号：US20160366386A1
公开(公告)日：2016-12-15
申请号：US15081680
申请日：2016-03-25
Applicant: GoPro, Inc.
Inventor： Bruno Cesar Douady-Pleven , Michael Serge André Kraak , Guillaume Matthieu Guerin , Thomas Nicolas Emmanuel Veit
CPC classification number: G06T3/4015 , G06T5/002 , G06T5/004 , G06T5/008 , G06T5/009 , G06T5/40 , G06T5/50 , G06T2207/10016 , G06T2207/10024 , G06T2207/20182 , H04N5/213 , H04N5/217 , H04N5/2355 , H04N5/357 , H04N9/646 , H04N9/735 , H04N9/77 , H04N2209/046
Abstract: A system determines for each color channel of each portion of the image, a corresponding adjustment value to apply to the color channel to correct for a color irregularity. The system determines a corrected adjustment value based on a difference between twice the pixel value and the maximum saturation value. If the adjustment value as applied is larger than the corrected adjustment value, the system applies the adjustment value to the corresponding color channel of the image portion to produce the adjusted color channel. Otherwise, the system applies the corrected adjustment to the corresponding color channel of the image portion to produce an adjusted color channel. The system generates a modified image based on the adjusted color channel.
Abstract translation: 系统为图像的每个部分的每个颜色通道确定应用于颜色通道以校正颜色不规则性的相应调整值。 系统基于像素值和最大饱和度值之间的差异来确定校正的调整值。 如果所应用的调整值大于校正的调整值，则系统将调整值应用于图像部分的相应颜色通道，以产生经调整的色彩通道。 否则，系统将校正的调整应用于图像部分的相应颜色通道，以产生调整的色彩通道。 系统根据调整后的颜色通道生成修改后的图像。
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Patent Agency Ranking
公开(公告)号：US20160364841A1
公开(公告)日：2016-12-15
申请号：US15081677
申请日：2016-03-25
Applicant: GoPro, Inc.
Inventor： Bruno Cesar Douady-Pleven , Michael Serge André Kraak , Guillaume Matthieu Guerin , Thomas Nicolas Emmanuel Veit
CPC classification number: G06T3/4015 , G06T5/002 , G06T5/004 , G06T5/008 , G06T5/009 , G06T5/40 , G06T5/50 , G06T2207/10016 , G06T2207/10024 , G06T2207/20182 , H04N5/213 , H04N5/217 , H04N5/2355 , H04N5/357 , H04N9/646 , H04N9/735 , H04N9/77 , H04N2209/046
Abstract: A system identifies a scaling position in a captured image, and identifies red subpixels adjacent to the scaling position. The system computes a scaled red subpixel for the scaling position based on the identified red subpixels according to constraints. The system further computes a scaled blue subpixel based on identified adjacent blue subpixels, according to constraints, and computes a scaled green subpixel position based on Gr and Gb subpixels adjacent to the scaling position according to certain constraints. The system then generates a scaled image representative of the captured image, the scaled image including at least the scaled red subpixel value, the scaled blue subpixel value, and the scaled green subpixel value.
Abstract translation: 系统识别拍摄图像中的缩放位置，并识别与缩放位置相邻的红色子像素。 根据约束，系统基于识别的红色子像素计算缩放位置的缩放红色子像素。 根据约束，该系统还基于识别的相邻的蓝色子像素进一步计算缩放的蓝色子像素，并且根据某些约束，基于与缩放位置相邻的Gr和Gb子像素来计算缩放的绿色子像素位置。 然后，系统生成表示拍摄图像的缩放图像，缩放图像至少包括缩放的红色子像素值，缩放的蓝色子像素值和缩放的绿色子像素值。
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公开(公告)号：US12206986B2
公开(公告)日：2025-01-21
申请号：US18369996
申请日：2023-09-19
Applicant: GoPro, Inc.
Inventor： Thomas Nicolas Emmanuel Veit , Sylvain Leroy , Heng Zhang , Ingrid Cotoros
IPC: H04N23/667 , H04N23/68 , H04N23/71 , H04N23/741
Abstract: A camera mode to use for capturing an image or video is selected by estimating high dynamic range (HDR), motion, and light intensity with respect to a scene of the image or video to capture. An image capture device includes a HDR estimation unit to detect whether HDR is present in a scene of an image to capture, a motion estimation unit to determine whether motion is detected within the scene, and a light intensity estimation unit to determine whether a scene luminance for the scene meets a threshold. A mode selection unit selects a camera mode to use for capturing the image based on output of the HDR estimation unit, the motion estimation unit, and the light intensity estimation unit. An image sensor captures the image according to the selected camera mode.
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公开(公告)号：US11653088B2
公开(公告)日：2023-05-16
申请号：US17543629
申请日：2021-12-06
Applicant: GoPro, Inc.
Inventor： Bruno César Douady , Michael Serge Andre Kraak , Guillaume Matthieu Guérin , Thomas Nicolas Emmanuel Veit
IPC: H04N5/232 , 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 , H04N5/225 , H04N5/247 , H04N5/357 , H04N17/00 , H04N13/239 , H04N13/122 , G06T5/00
CPC classification number: H04N5/23222 , G06T3/0093 , G06T3/4038 , G06T5/20 , G06T5/50 , G06T7/85 , H04N5/2258 , H04N5/23238 , H04N5/247 , H04N5/3572 , H04N13/271 , H04N17/002 , H04N19/10 , H04N19/136 , H04N19/176 , H04N19/423 , H04N19/70 , H04N19/85 , H04N19/90 , G06T5/002 , G06T2207/10016 , H04N13/122 , 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：US11412150B2
公开(公告)日：2022-08-09
申请号：US17132140
申请日：2020-12-23
Applicant: GoPro, Inc.
Abstract: An image capture apparatus may include an image sensor, a motion sensor, and an auto-exposure unit. The auto-exposure unit may obtain an input image captured during an exposure interval and corresponding motion data indicating motion of the image capture apparatus during the exposure interval. The auto-exposure unit may obtain image information-amount data for the input image. The auto-exposure unit may obtain derivative information-amount data based on the information-amount data and a candidate exposure adjustment. The auto-exposure unit may obtain an information-amount maximizing exposure interval based on the information-amount data and the derivative information-amount data. The image capture apparats may control the image sensor to obtain a subsequent input image signal representing a subsequent input image captured during the information-amount maximizing exposure interval, and output or store information representing the subsequent input image.
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公开(公告)号：US20220078330A1
公开(公告)日：2022-03-10
申请号：US17526740
申请日：2021-11-15
Applicant: GoPro, Inc.
Inventor： Guillaume Matthieu Guerin , Antoine Regimbeau , Thomas Nicolas Emmanuel Veit , Bruno Cesar Douady-Pleven , Violaine Marie Mong-lan Sudret
Abstract: Systems and methods are disclosed for image signal processing. For example, methods may include receiving an image from an image sensor; applying a filter to the image to obtain a low-frequency component image and a high-frequency component image; determining a first enhanced image based on a weighted sum of the low-frequency component image and the high-frequency component image, where the high-frequency component image is weighted more than the low-frequency component image; determining a second enhanced image based on the first enhanced image and a tone mapping; and storing, displaying, or transmitting an output image based on the second enhanced image.
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