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公开(公告)号：US11151694B2
公开(公告)日：2021-10-19
申请号：US16412722
申请日：2019-05-15
Applicant: GoPro, Inc.
Inventor： Matias Tassano Ferrés , Thomas Nicolas Emmanuel Veit , Julie Delon
Abstract: A method and apparatus for denoising a video are disclosed. The method includes obtaining multiple frames of the video. One or more frames of the video may be temporally precedent or temporally subsequent to a central frame. The method includes performing a first denoising of the multiple frames. The method includes concatenating the denoised frames into a concatenated input. The method includes performing a second denoising of the concatenated input. The method includes outputting a denoised frame based on the denoised concatenated input.
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公开(公告)号：US20200151854A1
公开(公告)日：2020-05-14
申请号：US16185779
申请日：2018-11-09
Applicant: GoPro, Inc.
Inventor： Matias Tassano Ferrés , Thomas Nicolas Emmanuel Veit , Julie Delon
Abstract: Implementations disclosed herein include an image capture device, a system, and a method for performing multiscale denoising of a video. An image processor of the image capture device obtains a video frame. The video frame may be in any format and may include noise artifacts. The image processor decomposes the video frame into one or more sub-frames. In some implementations, the image processor denoises each of the one or more sub-frames. The image processor decomposes one or more video frames in a temporal buffer into one or more temporal sub-frames. The image processor denoises each of the temporal sub-frames. The image processor reconstructs the one or more denoised sub-frames and the one or more temporal sub-frames to produce a denoised video frame. A memory of the image capture device may be configured to store the denoised video frame.
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Patent Agency Ranking
公开(公告)号：US20240177275A1
公开(公告)日：2024-05-30
申请号：US18435359
申请日：2024-02-07
Applicant: GoPro, Inc.
Inventor： Matias Tassano Ferrés , Thomas Nicolas Emmanuel Veit , Julie Delon
CPC classification number: G06T5/70 , G06N3/08 , G06T5/50 , G06T2207/10016 , G06T2207/20081 , G06T2207/20084
Abstract: An image capture device includes an image sensor and a processor. The image sensor is configured to capture a first plurality of frames, a second plurality of frames, and a third plurality of frames. The processor includes a first denoising layer and a second denoising layer. The first denoising layer includes a first denoiser, a second denoiser, and a third denoiser. The first denoiser is configured to denoise the first plurality of frames and output a first denoised frame. The second denoiser is configured to denoise the second plurality of frames and output a second denoised frame. The third denoiser is configured to denoise the third plurality of frames and output a third denoised frame. The second denoising layer includes a fourth denoiser. The fourth denoiser is configured to output a denoised frame based on the first denoised frame, the second denoised frame, and the third denoised frame.
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公开(公告)号：US11900566B1
公开(公告)日：2024-02-13
申请号：US16912395
申请日：2020-06-25
Applicant: GoPro, Inc.
Inventor： Matias Tassano Ferrés , Thomas Nicolas Emmanuel , Julie Delon
CPC classification number: G06T5/002 , G06N3/08 , G06T5/50 , G06T2207/10016 , G06T2207/20081 , G06T2207/20084
Abstract: An image capture device includes an image sensor and a processor. The image sensor is configured to capture a first plurality of frames, a second plurality of frames, and a third plurality of frames. The processor includes a first denoising layer and a second denoising layer. The first denoising layer includes a first denoiser, a second denoiser, and a third denoiser. The first denoiser is configured to denoise the first plurality of frames and output a first denoised frame. The second denoiser is configured to denoise the second plurality of frames and output a second denoised frame. The third denoiser is configured to denoise the third plurality of frames and output a third denoised frame. The second denoising layer includes a fourth denoiser. The fourth denoiser is configured to output a denoised frame based on the first denoised frame, the second denoised frame, and the third denoised frame.
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公开(公告)号：US11669939B1
公开(公告)日：2023-06-06
申请号：US17000832
申请日：2020-08-24
Applicant: GoPro, Inc.
CPC classification number: G06T5/003 , G06N3/045 , G06N3/08 , G06N20/10 , G06T3/4084 , G06T5/50 , G06T7/11 , G06T2207/10024 , G06T2207/20056 , G06T2207/20084 , G06T2207/20112 , G06T2207/20201
Abstract: A method for deblurring a target image includes receiving a burst of images that includes the target image; partitioning respective images of the burst of images into respective patches; converting, to a frequency domain, the respective patches into respective transform patches; selecting a first set of corresponding transform patches from the respective transform patches, where the first set of the corresponding transform patches includes a respective transform patch for a respective image of the burst of images; obtaining, using a neural network, respective weight maps for the corresponding transform patches; obtaining a deblurred transform patch by combining the first set of corresponding transform patches using the respective weight maps; obtaining a first deblurred patch by converting the deblurred transform patch to a pixel domain; and obtaining a deblurred image of the target image using the first deblurred patch.
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公开(公告)号：US10902558B2
公开(公告)日：2021-01-26
申请号：US15983330
申请日：2018-05-18
Applicant: GoPro, Inc.
Inventor： Matias Tassano Ferrés , Thomas Nicolas Emmanuel Veit , Marc Lebrun , Julie Delon
Abstract: Implementations disclosed herein include an image capture device, a system, and a method for performing multiscale denoising of an image. An image processor of the image capture device obtains a first image. The first image may be in any format and may include noise artifacts. The image processor decomposes the first image into one or more sub-images. The sub-images may range from a coarse scale to a fine scale. In some implementations, the image processor iteratively denoises each of the one or more sub-images from the coarse scale to the fine scale. The image processor reconstructs the one or more denoised sub-images to produce a denoised image. A memory of the image capture device may be configured to store the denoised image.
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公开(公告)号：US20190355098A1
公开(公告)日：2019-11-21
申请号：US15983330
申请日：2018-05-18
Applicant: GoPro, Inc.
Inventor： Matias Tassano Ferrés , Thomas Nicolas Emmanuel Veit , Marc Lebrun , Julie Delon
Abstract: Implementations disclosed herein include an image capture device, a system, and a method for performing multiscale denoising of an image. An image processor of the image capture device obtains a first image. The first image may be in any format and may include noise artifacts. The image processor decomposes the first image into one or more sub-images. The sub-images may range from a coarse scale to a fine scale. In some implementations, the image processor iteratively denoises each of the one or more sub-images from the coarse scale to the fine scale. The image processor reconstructs the one or more denoised sub-images to produce a denoised image. A memory of the image capture device may be configured to store the denoised image.
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