公开(公告)号：US10776904B2

公开(公告)日：2020-09-15

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

IPC: G06K9/00 ,  G06T3/40 ,  G06T5/00 ,  G06T5/20 ,  G06T7/49 ,  G06T7/246 ,  G06T5/50

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.

公开(公告)号：US11948279B2

公开(公告)日：2024-04-02

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

IPC: G06T5/00 ,  G06T3/4015 ,  G06T3/4046 ,  G06T3/4076

CPC classification number: G06T5/002 ,  G06T3/4015 ,  G06T3/4046 ,  G06T3/4076 ,  G06T2207/20024

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.

公开(公告)号：US11265459B2

公开(公告)日：2022-03-01

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

IPC: H04N5/232 ,  G06K9/46 ,  H04N5/235

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.