公开(公告)号：US20140118582A1

公开(公告)日：2014-05-01

申请号：US14067220

申请日：2013-10-30

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： EVGENY ARTYOMOV ,  Roee Sfaradi ,  Ju Young Lee ,  Artem Zinevich ,  German Voronov ,  Eugene Fainstain

IPC: H04N9/64

CPC classification number: H04N9/045 ,  G06T3/4015 ,  H04N5/217 ,  H04N5/2628

Abstract: An image processing method includes: receiving image data of a Bayer format comprising red color information, green color information, and blue color information, generating image data of a modified Bayer format by combining the green color information with the red color information and combining the green color information with the blue color information while downscaling the image data of the Bayer format to a target resolution, denoising the image data of the modified Bayer format, and generating RGB image data by demosaicing the denoised image data of the modified Bayer format.

Abstract translation: 一种图像处理方法包括：接收包括红色颜色信息，绿色颜色信息和蓝色颜色信息的拜耳格式的图像数据，通过将绿色信息与红色颜色信息组合，生成修改的拜耳格式的图像数据，并组合绿色 同时将拜耳格式的图像数据缩小到目标分辨率，对经修改的拜耳格式的图像数据进行去噪，并通过对修改的拜耳格式的去噪图像数据进行去马赛克生成RGB图像数据，从而产生具有蓝色信息的颜色信息。

公开(公告)号：US20220147680A1

公开(公告)日：2022-05-12

申请号：US17095937

申请日：2020-11-12

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： NIV ZEHNGUT ,  AMIR BEN-DROR ,  EVGENY ARTYOMOV ,  MICHAEL DINERSTEIN ,  ROY JEVNISEK

IPC: G06F30/39 ,  G06N3/04 ,  G06N3/08

Abstract: Methods, systems, and apparatus for combined or separate implementation of coarse-to-fine neural architecture search (NAS), two-phase block NAS, variable hardware prediction, and differential hardware design are provided and described. A variable predictor is trained, as described herein. Then, a controller or policy may be used to iteratively modify a neural network architecture along dimensions formed by neural network architecture parameters. The modification is applied to blocks (e.g., subnetworks) within the neural network architecture. In each iteration, the remainder of the neural network architecture parameters are modified and learned with a differential NAS method. The training process is performed with two-phase block NAS and incorporates a variable hardware predictor to predict power, performance, and area (PPA) parameters. The hardware parameters may be learned as well using the variable hardware predictor.

公开(公告)号：US20140023232A1

公开(公告)日：2014-01-23

申请号：US13945540

申请日：2013-07-18

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： IRINA KIM ,  EVGENY ARTYOMOV ,  GERMAN VORONOV ,  OR SHIMSHI

IPC: G06K9/00

CPC classification number: G06K9/00624 ,  G06K9/4614 ,  G06K9/4647 ,  G06K9/6857

Abstract: A method of detecting a target in an image. The method includes receiving an image; generating a plurality of scaled-down images based on the received image; generating integral column images of each of the plurality of scaled images by calculating integral values of pixels column by column; selecting and classifying a plurality of windows of the integral column images according to a feature arithmetic operation based on a recursive column calculation; and detecting the target on the basis of the classification results for the plurality of windows.

Abstract translation: 一种检测图像中的目标的方法。 该方法包括接收图像; 基于所接收的图像生成多个缩小图像; 通过逐列计算像素的积分值来生成多个缩放图像中的每一个的积分列图像; 根据递归列计算，根据特征算术运算来选择和分类积分列图像的多个窗口; 以及基于多个窗口的分类结果来检测目标。