Invention Application
- Patent Title: METHOD AND DEVICE FOR JOINT DENOISING AND DEMOSAICING USING NEURAL NETWORK
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Application No.: US17530013Application Date: 2021-11-18
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Publication No.: US20220164926A1Publication Date: 2022-05-26
- Inventor: Vladimir Gennadievich KURMANOV , Iurii Gennadievich FETISOV , Xenya Yurievna PETROVA , Ivan Olegovich KARACHAROV , Kirill Victorovich LEBEDEV
- Applicant: Samsung Electronics Co., Ltd.
- Applicant Address: KR Suwon-si
- Assignee: Samsung Electronics Co., Ltd.
- Current Assignee: Samsung Electronics Co., Ltd.
- Current Assignee Address: KR Suwon-si
- Priority: RU2020138295 20201123
- Main IPC: G06T5/00
- IPC: G06T5/00 ; G06T3/40

Abstract:
A method of joint denoising and demosaicing using a neural network to generate an output image and to a computing device for implementing the method is provided. The method includes obtaining image data collected by a color filter array (CFA), and jointly performing denoising and demosaicing on the CFA image data using a trained neural network to generate an output image, wherein the neural network has a lightweight U-Net architecture and is trained on a plurality of pairs of training images. One image in each pair of training images is obtained with a lower ISO value than another image in the pair of training images, and is processed by a processing algorithm (image signal processor (ISP)), and the other image in each pair of training images is in a format of CFA image data.
Public/Granted literature
- US11948279B2 Method and device for joint denoising and demosaicing using neural network Public/Granted day:2024-04-02
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