ETDNet: An Efficient Transformer Deraining Model

Rainy days usually degrade the visual effect of images and videos. At present, most deraining models for single images adopt gradual optimization or elimination to remove rain streaks, but actually with relatively low efficiency in real tasks. An efficient one-stage deraining model, Efficient Transf...

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Autores principales:	Qin Qin, Jingke Yan, Qin Wang, Xin Wang, Minyao Li, Yuqing Wang
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Rain removal ETDNet transformer multi-scale loss function Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/511042f6fc5b44a98ef222d8f3bf542f
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id	oai:doaj.org-article:511042f6fc5b44a98ef222d8f3bf542f
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spelling	oai:doaj.org-article:511042f6fc5b44a98ef222d8f3bf542f2021-11-19T00:07:02ZETDNet: An Efficient Transformer Deraining Model2169-353610.1109/ACCESS.2021.3108516https://doaj.org/article/511042f6fc5b44a98ef222d8f3bf542f2021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9524626/https://doaj.org/toc/2169-3536Rainy days usually degrade the visual effect of images and videos. At present, most deraining models for single images adopt gradual optimization or elimination to remove rain streaks, but actually with relatively low efficiency in real tasks. An efficient one-stage deraining model, Efficient Transformer Derain Network (ETDNet), is proposed to remove rain streaks in single images efficiently. A new Transformer architecture is designed to provide rich multiple scales and context information, making the model extract features in a coarse-to-fine way. Multiple expansion filters with different expansion rates are embedded to predict the suitable kernel for each pixel of the rainy image in a multi-scale way. A multi-scale Loss Function is introduced to restore features with high-fidelity and detail textures. Experiments on Rain100L, Rain100H, and SPA datasets show that the proposed ETDNet reaches the highest PSNR and SSIM values at the fastest speed compared with other models.Qin QinJingke YanQin WangXin WangMinyao LiYuqing WangIEEEarticleRain removalETDNettransformermulti-scaleloss functionElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 119881-119893 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Rain removal ETDNet transformer multi-scale loss function Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Rain removal ETDNet transformer multi-scale loss function Electrical engineering. Electronics. Nuclear engineering TK1-9971 Qin Qin Jingke Yan Qin Wang Xin Wang Minyao Li Yuqing Wang ETDNet: An Efficient Transformer Deraining Model
description	Rainy days usually degrade the visual effect of images and videos. At present, most deraining models for single images adopt gradual optimization or elimination to remove rain streaks, but actually with relatively low efficiency in real tasks. An efficient one-stage deraining model, Efficient Transformer Derain Network (ETDNet), is proposed to remove rain streaks in single images efficiently. A new Transformer architecture is designed to provide rich multiple scales and context information, making the model extract features in a coarse-to-fine way. Multiple expansion filters with different expansion rates are embedded to predict the suitable kernel for each pixel of the rainy image in a multi-scale way. A multi-scale Loss Function is introduced to restore features with high-fidelity and detail textures. Experiments on Rain100L, Rain100H, and SPA datasets show that the proposed ETDNet reaches the highest PSNR and SSIM values at the fastest speed compared with other models.
format	article
author	Qin Qin Jingke Yan Qin Wang Xin Wang Minyao Li Yuqing Wang
author_facet	Qin Qin Jingke Yan Qin Wang Xin Wang Minyao Li Yuqing Wang
author_sort	Qin Qin
title	ETDNet: An Efficient Transformer Deraining Model
title_short	ETDNet: An Efficient Transformer Deraining Model
title_full	ETDNet: An Efficient Transformer Deraining Model
title_fullStr	ETDNet: An Efficient Transformer Deraining Model
title_full_unstemmed	ETDNet: An Efficient Transformer Deraining Model
title_sort	etdnet: an efficient transformer deraining model
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/511042f6fc5b44a98ef222d8f3bf542f
work_keys_str_mv	AT qinqin etdnetanefficienttransformerderainingmodel AT jingkeyan etdnetanefficienttransformerderainingmodel AT qinwang etdnetanefficienttransformerderainingmodel AT xinwang etdnetanefficienttransformerderainingmodel AT minyaoli etdnetanefficienttransformerderainingmodel AT yuqingwang etdnetanefficienttransformerderainingmodel
_version_	1718420608258146304

ETDNet: An Efficient Transformer Deraining Model

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