Underwater image enhancement method based on residual dual-attention network
The invention discloses an underwater image enhancement method based on a residual dual-attention network. The underwater image enhancement method is specifically implemented according to the following steps: step 1, preprocessing an input image; 2, mapping the pre-processed image to an R channel, a...
Saved in:
Main Authors | , , , , , |
---|---|
Format | Patent |
Language | Chinese English |
Published |
27.08.2021
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Abstract | The invention discloses an underwater image enhancement method based on a residual dual-attention network. The underwater image enhancement method is specifically implemented according to the following steps: step 1, preprocessing an input image; 2, mapping the pre-processed image to an R channel, a G channel and a B channel, and respectively carrying out independent convolution operation on each color channel; step 3, processing the image by using a deep network architecture of a residual double-attention-based codec, the encoder being used for extracting image features, reducing spatial dimensions and increasing a receptive field, wherein the decoder is used for gradually recovering detail information and spatial dimensions of the recovered image; training a residual dual-attention network model by using the preprocessed image to obtain a trained residual dual-attention network model; and step 4, inputting a fuzzy low-quality underwater image into the trained residual dual-attention network model to obtain |
---|---|
AbstractList | The invention discloses an underwater image enhancement method based on a residual dual-attention network. The underwater image enhancement method is specifically implemented according to the following steps: step 1, preprocessing an input image; 2, mapping the pre-processed image to an R channel, a G channel and a B channel, and respectively carrying out independent convolution operation on each color channel; step 3, processing the image by using a deep network architecture of a residual double-attention-based codec, the encoder being used for extracting image features, reducing spatial dimensions and increasing a receptive field, wherein the decoder is used for gradually recovering detail information and spatial dimensions of the recovered image; training a residual dual-attention network model by using the preprocessed image to obtain a trained residual dual-attention network model; and step 4, inputting a fuzzy low-quality underwater image into the trained residual dual-attention network model to obtain |
Author | FENG YANING GE FEIHANG ZHAO MINGHUA SHANG RONGRONG YOU ZHENZHEN SHI ZHENGHAO |
Author_xml | – fullname: ZHAO MINGHUA – fullname: SHI ZHENGHAO – fullname: SHANG RONGRONG – fullname: YOU ZHENZHEN – fullname: FENG YANING – fullname: GE FEIHANG |
BookMark | eNqNyr0KwjAUxfEMOvj1DtcH6BBS3KUoDuKkc7k2RxtsbkoS6esbwQdwOX84_JZqJkGwUOebWMSJMyI5z08QpGfp4CGZPHIfLN05wVIQikjOvnmg71Scc0Gu_II8hfhaq_mDh4TNryu1PR6uzanCGFqkkTsU2TYXrY3RZlfXe_OP-QD4Fzf4 |
ContentType | Patent |
DBID | EVB |
DatabaseName | esp@cenet |
DatabaseTitleList | |
Database_xml | – sequence: 1 dbid: EVB name: esp@cenet url: http://worldwide.espacenet.com/singleLineSearch?locale=en_EP sourceTypes: Open Access Repository |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Medicine Chemistry Sciences Physics |
DocumentTitleAlternate | 一种基于残差双注意力网络的水下图像增强方法 |
ExternalDocumentID | CN113313644A |
GroupedDBID | EVB |
ID | FETCH-epo_espacenet_CN113313644A3 |
IEDL.DBID | EVB |
IngestDate | Fri Jul 19 13:00:41 EDT 2024 |
IsOpenAccess | true |
IsPeerReviewed | false |
IsScholarly | false |
Language | Chinese English |
LinkModel | DirectLink |
MergedId | FETCHMERGED-epo_espacenet_CN113313644A3 |
Notes | Application Number: CN202110578932 |
OpenAccessLink | https://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20210827&DB=EPODOC&CC=CN&NR=113313644A |
ParticipantIDs | epo_espacenet_CN113313644A |
PublicationCentury | 2000 |
PublicationDate | 20210827 |
PublicationDateYYYYMMDD | 2021-08-27 |
PublicationDate_xml | – month: 08 year: 2021 text: 20210827 day: 27 |
PublicationDecade | 2020 |
PublicationYear | 2021 |
RelatedCompanies | XI'AN UNIVERSITY OF TECHNOLOGY |
RelatedCompanies_xml | – name: XI'AN UNIVERSITY OF TECHNOLOGY |
Score | 3.4802701 |
Snippet | The invention discloses an underwater image enhancement method based on a residual dual-attention network. The underwater image enhancement method is... |
SourceID | epo |
SourceType | Open Access Repository |
SubjectTerms | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING HANDLING RECORD CARRIERS IMAGE DATA PROCESSING OR GENERATION, IN GENERAL PHYSICS PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS |
Title | Underwater image enhancement method based on residual dual-attention network |
URI | https://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20210827&DB=EPODOC&locale=&CC=CN&NR=113313644A |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV3da8IwED-c-3zb3GRzH2Qw-lZm27TahzJmqsiYVYYbvkmStuhgVWyHsL9-l6hzL9tLIAkJyYXL5S53vwO4o9Lzpc1T0-UJN6kvPNPnommmVNalk0g30ZD5vcjrvtKnkTsqwfsmFkbjhC41OCJylER-L_R9Pd8asULtW5nfiyk2zR46wyA01tox6i9Nu2GEraA96Id9ZjAWsMiIXgILdTHLQeH_uAO76hmtcPbbby0VlTL_LVI6x7A3wNmy4gRKX5MKHLJN5rUKHPTWH94V2NcemjLHxjUX5qfwrJMVLXH4gkw_8EIgSTZRp6csfWSVE5oo8RSTWUZQn9YBV0QVpoLT1A6OJFs5gJ_Bbac9ZF0TFzj-ocaYRdu9OFUoZ7MsOQeigNMdEdvCoin1Y4tzLrCa0rhZb3jUvYDa3_PU_uu8hCNFWWVItRtXUC4Wn8k1SuJC3GgSfgNqBo7h |
link.rule.ids | 230,309,786,891,25594,76904 |
linkProvider | European Patent Office |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV3dT8IwEL8gfuCbokbxqyZmb4ts6zb2sBjZIKgwiEHDG2m7LWDiIDBD4l_vtYD4oi9L2qXNesvd5Xe9-x3ALRWOJ0yW6jZLmE497uge4zU9paIqrETYiaLM70RO65U-DexBAd7XtTCKJ3ShyBFRowTqe67s9XQTxApVbuX8jo9xanLf7PuhtkLHiF9qpquFdb_R64bdQAsCP4i06MU3EIsZFjr_hy3YdhESSp79xltdVqVMf7uU5gHs9HC3LD-EwteoDKVg3XmtDHud1YV3GXZVhqaY4-RKC-dH0FbNiha4fEbGH2gQSJKN5N-TkT6y7AlNpHuKySQjiKdVwRWRD13SaaoER5ItE8CP4abZ6ActHT9w-CONYRBtzmKdQDGbZMkpEEmcbvHY5AZNqRcbjDGOw5TGtarrUPsMKn_vU_nv5TWUWv1Oe9h-jJ7PYV9KWQZVTfcCivnsM7lEr5zzKyXObz7lkcw |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Apatent&rft.title=Underwater+image+enhancement+method+based+on+residual+dual-attention+network&rft.inventor=ZHAO+MINGHUA&rft.inventor=SHI+ZHENGHAO&rft.inventor=SHANG+RONGRONG&rft.inventor=YOU+ZHENZHEN&rft.inventor=FENG+YANING&rft.inventor=GE+FEIHANG&rft.date=2021-08-27&rft.externalDBID=A&rft.externalDocID=CN113313644A |