Title:
IMAGE PROCESSING APPARATUS AND METHOD OF OPERATING THE SAME
Document Type and Number:
WIPO Patent Application WO/2021/251614
Kind Code:
A1
Abstract:
An image processing apparatus for performing image quality processing on an image includes a feature extraction network and an image quality processing network including one or more modulation blocks, wherein each of the one or more modulation blocks includes a convolution layer, a modulation layer, and an activation layer for processing the image.
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Inventors:
BAEK SANGWOOK (KR)
PARK YONGSUP (KR)
LEE SANGMI (KR)
PARK YOUNGO (KR)
CHOI KWANGPYO (KR)
PARK YONGSUP (KR)
LEE SANGMI (KR)
PARK YOUNGO (KR)
CHOI KWANGPYO (KR)
Application Number:
PCT/KR2021/005020
Publication Date:
December 16, 2021
Filing Date:
April 21, 2021
Export Citation:
Assignee:
SAMSUNG ELECTRONICS CO LTD (KR)
International Classes:
G06T3/40; G06N3/04; G06N3/08; G06T5/00; G06T7/13
Foreign References:
| US20180365794A1 | 2018-12-20 | |||
| US20200118249A1 | 2020-04-16 | |||
| US20200184627A1 | 2020-06-11 |
Other References:
LI CHUNBAO; YANG BO: "Adaptive Weighted CNN Features Integration for Correlation Filter Tracking", IEEE ACCESS, vol. 7, 12 June 2019 (2019-06-12), pages 76416 - 76427, XP011731833
XINGJIAN LI; HAOYI XIONG; HANCHAO WANG; YUXUAN RAO; LIPING LIU; JUN HUAN: "DELTA: DEep Learning Transfer using Feature Map with Attention for Convolutional Networks", ARXIV.ORG, 26 January 2019 (2019-01-26), pages 1 - 13, XP081008552
XINGJIAN LI; HAOYI XIONG; HANCHAO WANG; YUXUAN RAO; LIPING LIU; JUN HUAN: "DELTA: DEep Learning Transfer using Feature Map with Attention for Convolutional Networks", ARXIV.ORG, 26 January 2019 (2019-01-26), pages 1 - 13, XP081008552
Attorney, Agent or Firm:
Y.P.LEE, MOCK & PARTNERS (KR)
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