Title:
IMAGE PROCESSING APPARATUS AND OPERATION METHOD THEREOF
Document Type and Number:
WIPO Patent Application WO/2023/101276
Kind Code:
A1
Abstract:
An image processing apparatus for processing an image by using one or more convolution neural networks, according to an embodiment, may comprise a memory that stores one or more instructions, and at least one processor, by executing the one or more instructions stored in the memory: acquires first feature data by performing a convolution operation between input data, which has been acquired from a first image, and a first kernel; segments, into first groups, a plurality of channels included in the first feature data; acquires pieces of second feature data by performing a convolution operation between pieces of the first feature data respectively corresponding to the first groups and second kernels respectively corresponding to the first groups; acquires pieces of shuffling data by shuffling the pieces of second feature data; acquires output data by performing a convolution operation between data obtained by summing channels included in the pieces of shuffling data and a third kernel; and generates a second image on the basis of the output data.
Inventors:
AHN ILJUN (KR)
KANG SOOMIN (KR)
PARK JAEYEON (KR)
SONG YOUNGCHAN (KR)
SHIN HANUL (KR)
LEE TAMMY (KR)
KANG SOOMIN (KR)
PARK JAEYEON (KR)
SONG YOUNGCHAN (KR)
SHIN HANUL (KR)
LEE TAMMY (KR)
Application Number:
PCT/KR2022/018204
Publication Date:
June 08, 2023
Filing Date:
November 17, 2022
Export Citation:
Assignee:
SAMSUNG ELECTRONICS CO LTD (KR)
International Classes:
G06T3/40; G06T1/20; G06T5/00; G06T5/10; G06T5/20; G06V10/74
Foreign References:
KR20210140757A | 2021-11-23 | |||
JP2021103441A | 2021-07-15 | |||
KR20210019537A | 2021-02-22 | |||
KR102305470B1 | 2021-09-28 |
Other References:
XIANGYU ZHANG, ZHOU XINYU, LIN MENGXIAO, SUN JIAN: "ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices", ARXIV:1707.01083V2, 7 December 2017 (2017-12-07), XP055696820, Retrieved from the Internet [retrieved on 20200519], DOI: 10.1109/CVPR.2018.00716
Attorney, Agent or Firm:
Y.P.LEE, MOCK & PARTNERS (KR)
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