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    APPARATUS AND METHOD FOR CAPTURING AND BLENDING MULTIPLE IMAGES FOR HIGH-QUALITY FLASH PHOTOGRAPHY USING MOBILE ELECTRONIC DEVICE
    82.
    发明申请
    APPARATUS AND METHOD FOR CAPTURING AND BLENDING MULTIPLE IMAGES FOR HIGH-QUALITY FLASH PHOTOGRAPHY USING MOBILE ELECTRONIC DEVICE 审中-公开

    公开(公告)号：US20200267299A1

    公开(公告)日：2020-08-20

    申请号：US16278543

    申请日：2019-02-18

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Long N. Le ,  Hamid R. Sheikh ,  John W. Glotzbach

    IPC: H04N5/235 ,  G06T5/00 ,  G06T5/50 ,  G06T5/40

    Abstract: A method includes capturing multiple ambient images of a scene using at least one camera of an electronic device and without using a flash of the electronic device. The method also includes capturing multiple flash images of the scene using the at least one camera of the electronic device and during firing of a pilot flash sequence using the flash. The method further includes analyzing multiple pairs of images to estimate exposure differences obtained using the flash, where each pair of images includes one of the ambient images and one of the flash images that are both captured using a common camera exposure and where different pairs of images are captured using different camera exposures. In addition, the method includes determining a flash strength for the scene based on the estimate of the exposure differences and firing the flash based on the determined flash strength.

    SYSTEM AND METHOD FOR SCENE-ADAPTIVE DENOISE SCHEDULING AND EFFICIENT DEGHOSTING
    84.
    发明公开
    SYSTEM AND METHOD FOR SCENE-ADAPTIVE DENOISE SCHEDULING AND EFFICIENT DEGHOSTING 审中-公开

    公开(公告)号：US20240221130A1

    公开(公告)日：2024-07-04

    申请号：US18149714

    申请日：2023-01-04

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Nguyen Thang Long Le ,  Tyler Luu ,  Hamid R. Sheikh

    IPC: G06T5/00 ,  G06T3/00 ,  G06T5/50

    CPC classification number: G06T5/002 ,  G06T3/0093 ,  G06T5/006 ,  G06T5/50 ,  G06T2207/20212

    Abstract: A method includes generating alignment maps for a first image frame having a first exposure level and a second image frame having a second exposure level different than the first exposure level. The method also includes generating, for the second image frame and a third image frame having a third exposure level different than the first and second exposure levels, shadow maps, saturation maps, and multi-exposure (ME) motion maps based on the alignment maps. The method further includes determining, based on the shadow maps, saturation maps, and ME motion maps, whether to perform machine learning-based denoising and, if so, on which image frame(s) to perform the machine learning-based denoising. In addition, the method includes updating at least one saturation map and at least one ME motion map for at least one of the second and third image frames depending on the image frame(s) on which the denoising is to be performed.

    GENERATION OF THREE-DIMENSIONAL (3D) LOOKUP TABLE FOR TONE MAPPING OR OTHER IMAGE PROCESSING FUNCTIONS
    88.
    发明公开
    GENERATION OF THREE-DIMENSIONAL (3D) LOOKUP TABLE FOR TONE MAPPING OR OTHER IMAGE PROCESSING FUNCTIONS 审中-公开

    公开(公告)号：US20230252611A1

    公开(公告)日：2023-08-10

    申请号：US18046117

    申请日：2022-10-12

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Gunawath Dilshan Godaliyadda ,  John W. Glotzbach ,  Hamid R. Sheikh

    IPC: G06T5/00 ,  G06T5/20

    CPC classification number: G06T5/009 ,  G06T5/20 ,  G06T5/002 ,  G06T2207/20208

    Abstract: A method includes obtaining an image and a gain map associated with the image. The method also includes identifying image patches in the image and corresponding gain map patches in the gain map. Different image patches are centered around different anchor points in the image. The method further includes, for each image patch and its corresponding gain map patch, generating an intensity-gain curve for the associated anchor point. The intensity-gain curve specifies (i) gain values based on the corresponding gain map patch for intensity values up to a threshold intensity value and (ii) gain values based on one or more input parameters for intensity values above the threshold intensity value. In addition, the method includes combining the intensity-gain curves to generate a 3D lookup table, which identifies the gain values for the anchor points in the image at each of multiple intensity values.

    HAND MOTION PATTERN MODELING AND MOTION BLUR SYNTHESIZING TECHNIQUES
    89.
    发明公开
    HAND MOTION PATTERN MODELING AND MOTION BLUR SYNTHESIZING TECHNIQUES 审中-公开

    公开(公告)号：US20230252608A1

    公开(公告)日：2023-08-10

    申请号：US17666166

    申请日：2022-02-07

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Yingmao Li ,  Hamid R. Sheikh ,  John Seokjun Lee ,  Youngmin Kim ,  Jun Ki Cho ,  Seung-Chul Jeon

    IPC: G06T5/00

    CPC classification number: G06T5/005 ,  G06T2207/20081 ,  G06T2207/10144 ,  G06T2207/20084

    Abstract: A method includes obtaining, using a stationary sensor of an electronic device, multiple image frames including first and second image frames. The method also includes generating, using multiple previously generated motion vectors, a first motion-distorted image frame using the first image frame and a second motion-distorted image frame using the second image frame. The method further includes adding noise to the motion-distorted image frames to generate first and second noisy motion-distorted image frames. The method also includes performing (i) a first multi-frame processing (MFP) operation to generate a ground truth image using the motion-distorted image frames and (ii) a second MFP operation to generate an input image using the noisy motion-distorted image frames. In addition, the method includes storing the ground truth and input images as an image pair for training an artificial intelligence/machine learning (AI/ML)-based image processing operation for removing image distortions caused by handheld image capture.

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