公开(公告)号：US20230007175A1

公开(公告)日：2023-01-05

申请号：US17941000

申请日：2022-09-08

Applicant: Samsung Electronics Co., Ltd.

Inventor： Ilia OVSIANNIKOV ,  Yibing Michelle WANG ,  Gregory WALIGORSKI ,  Qiang ZHANG

IPC: H04N5/232 ,  G06T7/521

Abstract: Two-dimensional (2D) color information and 3D-depth information are concurrently obtained from a 2D pixel array. The 2D pixel array is arranged in a first group of a plurality of rows. A second group of rows of the array are operable to generate 2D-color information and pixels of a third group of the array are operable to generate 3D-depth information. The first group of rows comprises a first number of rows, the second group of rows comprises a second number of rows that is equal to or less than the first number of rows, and the third group of rows comprises a third number of rows that is equal to or less than the second number of rows. In an alternating manner, 2D-color information is received from a row selected from the second group of rows and 3D-depth information is received from a row selected from the third group of rows.

公开(公告)号：US20160379352A1

公开(公告)日：2016-12-29

申请号：US14931843

申请日：2015-11-03

Applicant: Samsung Electronics Co., Ltd.

Inventor： Qiang ZHANG ,  Zhengping JI ,  Lilong SHI ,  Ilia OVSIANNIKOV

IPC: G06T7/00 ,  G06N3/04 ,  G06N3/08

CPC classification number: G06T7/0002 ,  G06N3/04 ,  G06N3/0454 ,  G06N3/08 ,  G06N3/084 ,  G06T2207/20008 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30168

Abstract: A method for training a neural network to perform assessments of image quality is provided. The method includes: inputting into the neural network at least one set of images, each set including an image and at least one degraded version of the image; performing comparative ranking of each image in the at least one set of images; and training the neural network with the ranking information. A neural network and image signal processing tuning system are disclosed.

Abstract translation: 提供了一种用于训练神经网络以执行图像质量评估的方法。 该方法包括：向神经网络输入至少一组图像，每组图像包括图像和图像的至少一个退化版本; 在所述至少一组图像中执行每个图像的比较排序; 并用排名信息训练神经网络。 公开了神经网络和图像信号处理调谐系统。

公开(公告)号：US20170278221A1

公开(公告)日：2017-09-28

申请号：US15148657

申请日：2016-05-06

Applicant: Samsung Electronics Co., Ltd.

Inventor： Zhengping JI ,  Kyoobin LEE ,  Qiang ZHANG ,  Yibing Michelle WANG ,  Hyun Surk RYU ,  Ilia OVSIANNIKOV

IPC: G06T5/00 ,  G06T7/00 ,  H04N5/217 ,  G06T5/50

CPC classification number: G06T5/002 ,  G06F3/00 ,  G06K9/00 ,  G06T5/50 ,  G06T7/80 ,  G06T2207/10016 ,  G06T2207/20076 ,  G06T2207/20182 ,  H04N5/217 ,  H04N5/357

Abstract: An apparatus and a method. The apparatus includes an image representation unit configured to receive a sequence of frames generated from events sensed by a dynamic vision sensor (DVS) and generate a confidence map from non-noise events; and an image denoising unit connected to the image representation unit and configured to denoise an image in a spatio-temporal domain. The method includes receiving, by an image representation unit, a sequence of frames generated from events sensed by a DVS, and generating a confidence map from non-noise events; and denoising, by an image denoising unit connected to the image representation unit, images formed from the frames in a spatio-temporal domain.