Feature separation and non-shadow information-guided shadow removal network

To tackle the performance bottlenecks and color deviation issues stemming from current shadow removal methods, a feature separation and non-shadow information guided shadow removal network (FSNIG-ShadowNet) was constructed. In the separation and reconstruction stage, the shadow image was separated i...

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Main Authors: HUANG Ying, FANG Shaojie, CHENG Bin, JIANG Mao, QIAN Ying
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2024-05-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2024099/
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author HUANG Ying
FANG Shaojie
CHENG Bin
JIANG Mao
QIAN Ying
author_facet HUANG Ying
FANG Shaojie
CHENG Bin
JIANG Mao
QIAN Ying
author_sort HUANG Ying
collection DOAJ
description To tackle the performance bottlenecks and color deviation issues stemming from current shadow removal methods, a feature separation and non-shadow information guided shadow removal network (FSNIG-ShadowNet) was constructed. In the separation and reconstruction stage, the shadow image was separated into direct light and ambient light using self-reconstruction supervision, with decoupling of lighting types and reflectance. Subsequently, a decoder was employed to re-couple the separated features to yield shadow-free images. In the refinement stage, the network focused on the adjacent regions of shadow and non-shadow, incorporating a local region adaptive normalization module to transfer the color priors of local non-shadow region to shadow regions for mitigating color deviation between the two regions. Experimental results demonstrate that the proposed FSNIG-ShadowNet achieves competitive results compared to other state-of-the-art methods.
format Article
id doaj-art-16f2ecfc90d444d1893b134656548080
institution Kabale University
issn 1000-436X
language zho
publishDate 2024-05-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-16f2ecfc90d444d1893b1346565480802025-01-14T07:24:26ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2024-05-014517819062276831Feature separation and non-shadow information-guided shadow removal networkHUANG YingFANG ShaojieCHENG BinJIANG MaoQIAN YingTo tackle the performance bottlenecks and color deviation issues stemming from current shadow removal methods, a feature separation and non-shadow information guided shadow removal network (FSNIG-ShadowNet) was constructed. In the separation and reconstruction stage, the shadow image was separated into direct light and ambient light using self-reconstruction supervision, with decoupling of lighting types and reflectance. Subsequently, a decoder was employed to re-couple the separated features to yield shadow-free images. In the refinement stage, the network focused on the adjacent regions of shadow and non-shadow, incorporating a local region adaptive normalization module to transfer the color priors of local non-shadow region to shadow regions for mitigating color deviation between the two regions. Experimental results demonstrate that the proposed FSNIG-ShadowNet achieves competitive results compared to other state-of-the-art methods.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2024099/shadow removalfeature separationself-reconstructioncolor prior
spellingShingle HUANG Ying
FANG Shaojie
CHENG Bin
JIANG Mao
QIAN Ying
Feature separation and non-shadow information-guided shadow removal network
Tongxin xuebao
shadow removal
feature separation
self-reconstruction
color prior
title Feature separation and non-shadow information-guided shadow removal network
title_full Feature separation and non-shadow information-guided shadow removal network
title_fullStr Feature separation and non-shadow information-guided shadow removal network
title_full_unstemmed Feature separation and non-shadow information-guided shadow removal network
title_short Feature separation and non-shadow information-guided shadow removal network
title_sort feature separation and non shadow information guided shadow removal network
topic shadow removal
feature separation
self-reconstruction
color prior
url http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2024099/
work_keys_str_mv AT huangying featureseparationandnonshadowinformationguidedshadowremovalnetwork
AT fangshaojie featureseparationandnonshadowinformationguidedshadowremovalnetwork
AT chengbin featureseparationandnonshadowinformationguidedshadowremovalnetwork
AT jiangmao featureseparationandnonshadowinformationguidedshadowremovalnetwork
AT qianying featureseparationandnonshadowinformationguidedshadowremovalnetwork