Low-quality license plate image super-resolution reconstruction method based on stacked multi-dimensional information enhanced convolution

Low-quality license plate image super-resolution reconstruction method based on stacked multi-dimensional information enhanced convolution

The invention belongs to the field of license plate intelligent information detection, and particularly relates to a low-quality license plate image super-resolution reconstruction method based on stacked multi-dimensional information enhancement convolution, and the method comprises the steps: conn...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: ZHANG RUI, HUI YONGKE, BAI QIAOFENG, ZHANG YANJUN, LI XINYU, FU LIUHU
Format: Patent
Sprache:chi ; eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title
container_volume
creator ZHANG RUI
HUI YONGKE
BAI QIAOFENG
ZHANG YANJUN
LI XINYU
FU LIUHU
description The invention belongs to the field of license plate intelligent information detection, and particularly relates to a low-quality license plate image super-resolution reconstruction method based on stacked multi-dimensional information enhancement convolution, and the method comprises the steps: connecting a noise equalization module, a pixel information enhancement module and a character correction module in series; the low-quality license plate information is subjected to feature extraction and fusion from the angles of adjacent feature association relation, different receptive fields, different dimensions, pixel semantic front and back association analysis and the like, and the high-frequency details of the low-quality license plate image are improved by mining the relevance between local features of license plate image bottom information. Therefore, the influence caused by incomplete license plate image information due to strong noise, fuzzy uncertainty and exposure in super-resolution reconstruction of lo
format Patent
fullrecord <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN118014838A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN118014838A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN118014838A3</originalsourceid><addsrcrecordid>eNqNjj0KwkAQhdNYiHqH8QALhliklaBYiJV9GDcTXdyfuDOreAVP7RJyAKs3D775ePPiewpv9UxojXzAGk2eCQaLQmAc3gg4DRRVJA42iQkeIungWWLSY3Uk99DBFZk6yJ0F9SOfLlkxqjMuGzOHFozvQ3Q4fpG_o9cZy67XZF4Wsx4t02rKRbE-7C_NUdEQWuIB8ziStjmXZb0pt3VV76p_mB-UdE7u</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Low-quality license plate image super-resolution reconstruction method based on stacked multi-dimensional information enhanced convolution</title><source>esp@cenet</source><creator>ZHANG RUI ; HUI YONGKE ; BAI QIAOFENG ; ZHANG YANJUN ; LI XINYU ; FU LIUHU</creator><creatorcontrib>ZHANG RUI ; HUI YONGKE ; BAI QIAOFENG ; ZHANG YANJUN ; LI XINYU ; FU LIUHU</creatorcontrib><description>The invention belongs to the field of license plate intelligent information detection, and particularly relates to a low-quality license plate image super-resolution reconstruction method based on stacked multi-dimensional information enhancement convolution, and the method comprises the steps: connecting a noise equalization module, a pixel information enhancement module and a character correction module in series; the low-quality license plate information is subjected to feature extraction and fusion from the angles of adjacent feature association relation, different receptive fields, different dimensions, pixel semantic front and back association analysis and the like, and the high-frequency details of the low-quality license plate image are improved by mining the relevance between local features of license plate image bottom information. Therefore, the influence caused by incomplete license plate image information due to strong noise, fuzzy uncertainty and exposure in super-resolution reconstruction of lo</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ; PHYSICS</subject><creationdate>2024</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20240510&amp;DB=EPODOC&amp;CC=CN&amp;NR=118014838A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76290</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20240510&amp;DB=EPODOC&amp;CC=CN&amp;NR=118014838A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>ZHANG RUI</creatorcontrib><creatorcontrib>HUI YONGKE</creatorcontrib><creatorcontrib>BAI QIAOFENG</creatorcontrib><creatorcontrib>ZHANG YANJUN</creatorcontrib><creatorcontrib>LI XINYU</creatorcontrib><creatorcontrib>FU LIUHU</creatorcontrib><title>Low-quality license plate image super-resolution reconstruction method based on stacked multi-dimensional information enhanced convolution</title><description>The invention belongs to the field of license plate intelligent information detection, and particularly relates to a low-quality license plate image super-resolution reconstruction method based on stacked multi-dimensional information enhancement convolution, and the method comprises the steps: connecting a noise equalization module, a pixel information enhancement module and a character correction module in series; the low-quality license plate information is subjected to feature extraction and fusion from the angles of adjacent feature association relation, different receptive fields, different dimensions, pixel semantic front and back association analysis and the like, and the high-frequency details of the low-quality license plate image are improved by mining the relevance between local features of license plate image bottom information. Therefore, the influence caused by incomplete license plate image information due to strong noise, fuzzy uncertainty and exposure in super-resolution reconstruction of lo</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2024</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNjj0KwkAQhdNYiHqH8QALhliklaBYiJV9GDcTXdyfuDOreAVP7RJyAKs3D775ePPiewpv9UxojXzAGk2eCQaLQmAc3gg4DRRVJA42iQkeIungWWLSY3Uk99DBFZk6yJ0F9SOfLlkxqjMuGzOHFozvQ3Q4fpG_o9cZy67XZF4Wsx4t02rKRbE-7C_NUdEQWuIB8ziStjmXZb0pt3VV76p_mB-UdE7u</recordid><startdate>20240510</startdate><enddate>20240510</enddate><creator>ZHANG RUI</creator><creator>HUI YONGKE</creator><creator>BAI QIAOFENG</creator><creator>ZHANG YANJUN</creator><creator>LI XINYU</creator><creator>FU LIUHU</creator><scope>EVB</scope></search><sort><creationdate>20240510</creationdate><title>Low-quality license plate image super-resolution reconstruction method based on stacked multi-dimensional information enhanced convolution</title><author>ZHANG RUI ; HUI YONGKE ; BAI QIAOFENG ; ZHANG YANJUN ; LI XINYU ; FU LIUHU</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN118014838A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2024</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>ZHANG RUI</creatorcontrib><creatorcontrib>HUI YONGKE</creatorcontrib><creatorcontrib>BAI QIAOFENG</creatorcontrib><creatorcontrib>ZHANG YANJUN</creatorcontrib><creatorcontrib>LI XINYU</creatorcontrib><creatorcontrib>FU LIUHU</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>ZHANG RUI</au><au>HUI YONGKE</au><au>BAI QIAOFENG</au><au>ZHANG YANJUN</au><au>LI XINYU</au><au>FU LIUHU</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Low-quality license plate image super-resolution reconstruction method based on stacked multi-dimensional information enhanced convolution</title><date>2024-05-10</date><risdate>2024</risdate><abstract>The invention belongs to the field of license plate intelligent information detection, and particularly relates to a low-quality license plate image super-resolution reconstruction method based on stacked multi-dimensional information enhancement convolution, and the method comprises the steps: connecting a noise equalization module, a pixel information enhancement module and a character correction module in series; the low-quality license plate information is subjected to feature extraction and fusion from the angles of adjacent feature association relation, different receptive fields, different dimensions, pixel semantic front and back association analysis and the like, and the high-frequency details of the low-quality license plate image are improved by mining the relevance between local features of license plate image bottom information. Therefore, the influence caused by incomplete license plate image information due to strong noise, fuzzy uncertainty and exposure in super-resolution reconstruction of lo</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language chi ; eng
recordid cdi_epo_espacenet_CN118014838A
source esp@cenet
subjects CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
title Low-quality license plate image super-resolution reconstruction method based on stacked multi-dimensional information enhanced convolution
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-02T03%3A21%3A52IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=ZHANG%20RUI&rft.date=2024-05-10&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN118014838A%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true