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公开(公告)号：US20180322614A1
公开(公告)日：2018-11-08
申请号：US15970617
申请日：2018-05-03
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Xenya Yurievna PETROVA , Ivan Victorovich GLAZISTOV , Sergey Stanislavovich ZAVALISHIN , Vladimir Gennadievich KURMANOV , Kirill Victorovich LEBEDEV , Gleb Sergeevich MILYUKOV , Alexander Alexandrovich MOLCHANOV , Andrey Yurievich SHCHERBININ , Ilya Vasilievich KURILIN
CPC classification number: G06T3/4076 , G06T5/002 , G06T5/20 , G06T5/50 , G06T7/246 , G06T7/49 , G06T2207/20024
Abstract: An approach is provided to process an image. The approach includes: obtaining a pixel shift set indicating information of movement of a plurality of pixels included in coinciding portions among a plurality of low-resolution images with respect to a single scene; dividing the pixel shift set into an integer portion and a fractional portion; generating an integer pixel shift set and a fractional pixel shift set; selecting a filter set corresponding to the plurality of pixels from among a plurality of pre-stored filter sets including a filter weight value applied to the pixels; and obtaining a high-resolution image with respect to the single scene, based on the plurality of low-resolution images, the selected filter set, and the integer pixel shift set.
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公开(公告)号：US20220164926A1
公开(公告)日：2022-05-26
申请号：US17530013
申请日：2021-11-18
Applicant: Samsung Electronics Co., Ltd.
Inventor： Vladimir Gennadievich KURMANOV , Iurii Gennadievich FETISOV , Xenya Yurievna PETROVA , Ivan Olegovich KARACHAROV , Kirill Victorovich LEBEDEV
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.
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公开(公告)号：US20200186702A1
公开(公告)日：2020-06-11
申请号：US16640001
申请日：2018-08-31
Applicant: Samsung Electronics Co., Ltd.
Inventor： Vitaly Sergeevich GNATYUK , Sergey Stanislavovich ZAVALISHIN , Xenya Yurievna PETROVA , Gleb Andreevich ODINOKIKH , Alexey Bronislavovich DANILEVICH , Alexey Mikhailovich FARTUKOV , Vladimir Alexeevich EREMEEV , Dae-kyu SHIN , Ju-woan YOO , Kwang-hyun LEE , Hee-jun LEE
Abstract: According to an aspect of an embodiment of the disclosure, an electronic device includes: a photographing device; a memory storing one or more instructions; and at least one processor configured to execute the one or more instructions stored in the memory to capture a first image by using the photographing device, perform first adjustment on an exposure value based on the first image, when the first image does not satisfy a first condition, perform second adjustment on the exposure value based on a second image acquired by applying a mask having a high weight for a region of interest to the first image, when the second image does not satisfy a second condition, adjust at least one photographing setting value based on the adjusted exposure value, and capture, by using the photographing device, a third image based on the adjusted at least one photographing setting value.
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