公开(公告)号：EP3859660A1

公开(公告)日：2021-08-04

申请号：EP20214980.3

申请日：2020-12-17

申请人： Samsung Electronics Co., Ltd.

发明人： JUNG, Sangil ,  SON, Changyong ,  SON, Jinwoo ,  YOO, Jaehyoung ,  CHOI, Changin ,  HAN, Jaejoon

IPC分类号： G06T5/20

摘要： Disclosed are an image data processing method and a sensor device performing the same. The sensor device includes an image sensor configured to acquire image data, an image buffer configured to store the image data, and an image processor configured to generate image-processed data by applying a filter corresponding to a storage pattern of the image buffer to the image data stored in the image buffer.

公开(公告)号：EP3839832A1

公开(公告)日：2021-06-23

申请号：EP20193180.5

申请日：2020-08-27

申请人： Samsung Electronics Co., Ltd.

发明人： SON, Jinwoo ,  SON, Changyong ,  YOO, Jaehyoung ,  LEE, Seohyung ,  JUNG, Sangil ,  CHOI, Changin

IPC分类号： G06N3/04 ,  G06N3/08

摘要： 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.

公开(公告)号：EP4307211A1

公开(公告)日：2024-01-17

申请号：EP23171043.5

申请日：2023-05-02

申请人： Samsung Electronics Co., Ltd.

发明人： YOO, Jaehyoung ,  KWON, Kinam ,  YU, Yunsang ,  LEE, Hyong Euk

IPC分类号： G06T5/00

摘要： An image restoration method and apparatus are provided. The image restoration method includes determining auxiliary data corresponding to a plurality of filter kernels by filtering target data with the plurality of filter kernels, determining new input data by combining the auxiliary data with at least some input data of layers of a neural network-based image restoration model, generating, based on the new input data, a restored image of the input image by executing the neural network-based image restoration model, wherein the filter kernels are not part of the neural network-based image restoration model.