公开(公告)号：US20160197118A1

公开(公告)日：2016-07-07

申请号：US14956680

申请日：2015-12-02

Applicant: Samsung Electronics Co., Ltd.

Inventor： DUKSEO PARK ,  SANGIL JUNG ,  CHANGROK MOON

IPC: H01L27/148 ,  H01L27/146

CPC classification number: H01L27/14643 ,  H01L27/14603 ,  H01L27/14607 ,  H01L27/1461 ,  H01L27/14612 ,  H01L27/14614 ,  H01L27/1463 ,  H01L27/14689

Abstract: An image sensor can include a photoelectric conversion part of an active region of a substrate and a trench in the substrate. A transfer transistor gate electrode can extend from outside the trench into the trench and terminate in the trench to provide an exposed portion of the trench in the photoelectric conversion part.

Abstract translation: 图像传感器可以包括衬底的有源区的光电转换部分和衬底中的沟槽。 传输晶体管栅电极可以从沟槽的外部延伸到沟槽中并且终止于沟槽中以在光电转换部分中提供沟槽的暴露部分。

公开(公告)号：US20230245267A1

公开(公告)日：2023-08-03

申请号：US17981961

申请日：2022-11-07

Applicant: Samsung Electronics Co., Ltd.

Inventor： SANGIL JUNG ,  SEUNGIN PARK ,  JAEHYOUNG YOO ,  SOLAE LEE ,  BYUNG IN YOO ,  HANA LEE

IPC: G06T3/40 ,  G06T5/50

CPC classification number: G06T3/4007 ,  G06T5/50 ,  G06T2207/20228 ,  G06T2207/20076

Abstract: An apparatus and method with image processing for sparse dual-pixel image data are included. In one general aspect, an apparatus includes a processor configured to generate a first interpolated image by performing interpolation on a first image and generate a second interpolated image by performing interpolation on a second image, wherein the first image and the second image comprise pixel values obtained by dual-pixels of an image sensor, and generate a disparity map based on the first interpolated image and the second interpolated image.

公开(公告)号：US20210192315A1

公开(公告)日：2021-06-24

申请号：US17071063

申请日：2020-10-15

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： JINWOO SON ,  CHANGYONG SON ,  JAEHYOUNG YOO ,  SEOHYUNG LEE ,  SANGIL JUNG ,  CHANGIN CHOI

IPC: G06N3/04 ,  G06N3/08

Abstract: A processor-implemented neural network method includes: generating a first output line of an output feature map by performing a convolution operation between a first input line group of an input feature map and weight kernels; generating a first output of an operation block including the convolution operation based on the first output line; and storing the first output in a memory in which the input feature map is stored by overwriting the first output to a memory space of the memory.