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.

公开(公告)号：US20230252770A1

公开(公告)日：2023-08-10

申请号：US18045558

申请日：2022-10-11

Applicant: Samsung Electronics Co., Ltd.

Inventor： Tyler Luu ,  John W. Glotzbach ,  Hamid R. Sheikh ,  John Seokjun Lee ,  Youngmin Kim ,  Jun Ki Cho ,  Seung-Chul Jeon

IPC: G06V10/774 ,  G06T5/00 ,  G06T5/50 ,  G06V10/24

CPC classification number: G06V10/7747 ,  G06T5/002 ,  G06T5/006 ,  G06T5/50 ,  G06V10/24 ,  G06T2207/10144 ,  G06T2207/20081 ,  G06T2207/20221

Abstract: A method for training data generation includes obtaining a first set of image frames of a scene and a second set of image frames of the scene using multiple exposure settings. The method also includes generating an alignment map, a blending map, and an input image using the first set of image frames. The method further includes generating a ground truth image using the alignment map, the blending map, and the second set of image frames. In addition, the method includes using the ground truth image and the input image as an image pair in a training dataset when training a machine learning model to reduce image distortion and noise.

公开(公告)号：US12079971B2

公开(公告)日：2024-09-03

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: G06V10/00 ,  G06T5/77

CPC classification number: G06T5/77 ,  G06T2207/10144 ,  G06T2207/20081 ,  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.