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US 2023/0058096 A1Published application
Method and system for denoising using neural networks
AssigneeGoPro, Inc.
InventorsMatias Tassano Ferrés, Nicolas Rahmouni, Eva Coupeté, Thomas Armel Derbanne
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Abstract
Methods and systems for denoising. A method for denoising includes receiving an image from an image sensor, denoising the image, in a non-linear domain by a denoiser, by applying a noise map to the image to obtain a denoised image. Training losses for the denoiser are processed in a linear domain. The method includes storing, displaying, or transmitting an output image based on the denoised image.
Claims20
A method for denoising, the method comprising:
- receiving an image from an image sensor;
- denoising the image, in a non-linear domain by a denoiser, by applying a noise map to the image to obtain a denoised image, wherein training losses for the denoiser are processed in a linear domain;
- and
- storing, displaying, or transmitting an output image based on the denoised image.
1 more element
A method for denoising, the method comprising:
- denoising an image, in a first color space by a denoiser, by applying a re-noising factor to the image to obtain a denoised image, wherein training losses for the denoiser are processed in a second color space;
- and
- storing, displaying, or transmitting an output image based on the denoised image.
An image capture device, comprising:
- an image sensor configured to detect an image;
- and
- an image processor configured to receive the image in a first color domain and comprising a denoiser configured to denoise the image to obtain a denoised image in the first color domain,
- wherein weights and training losses for the denoiser are processed in a second color domain during an offline configuration and the weights are saved to the image capture device, and
- wherein the image processor is configured to store, display, or transmit an output image based on the denoised image.
2 more elements
Dependencies are inferred from the claim text.