Optimized transmission method for images acquired by unmanned aerial vehicle
The invention relates to the technical field of image processing, in particular to an unmanned aerial vehicle collected image optimization transmission method, which comprises the following steps of: obtaining a gradient image of an unmanned aerial vehicle image, further obtaining an average width b...
Gespeichert in:
Hauptverfasser: | , , , , , , , , , , , |
---|---|
Format: | Patent |
Sprache: | chi ; eng |
Schlagworte: | |
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 HELEI LIANG JINGHUA WU XIONGXIAO OU SHENGHUA ZHOU HUOSHENG ZHOU LIPENG ZHENG SHIFANG XIE TIANHONG HUANG XIAOCHUAN YAO NAIWEN LI ZHIKUN LI LEI |
description | The invention relates to the technical field of image processing, in particular to an unmanned aerial vehicle collected image optimization transmission method, which comprises the following steps of: obtaining a gradient image of an unmanned aerial vehicle image, further obtaining an average width between a real edge and a ghosting edge, further obtaining the side length of an image block and the size of an initial convolution kernel, and obtaining an initial convolution kernel; reducing each side length of the unmanned aerial vehicle image to obtain an M image; according to the size of the initial convolution kernel, obtaining the weight of the pixel points on the left and right sides in the initial convolution kernel in the horizontal direction and the weight of the pixel points on the upper and lower sides in the initial convolution kernel in the vertical direction of each pixel point in the M image, and further obtaining the convolution kernels in the horizontal direction and the vertical direction of eac |
format | Patent |
fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN117952840A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN117952840A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN117952840A3</originalsourceid><addsrcrecordid>eNrjZPDxLyjJzM2sSk1RKClKzCvOzSwuzszPU8hNLcnIT1FIyy9SyMxNTE8tVkhMLizNLAKqS6pUKM3LTczLA7ITU4syE3MUylIzMpNzUnkYWNMSc4pTeaE0N4Oim2uIs4duakF-fGpxQWJyal5qSbyzn6GhuaWpkYWJgaMxMWoA4vY2Rw</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Optimized transmission method for images acquired by unmanned aerial vehicle</title><source>esp@cenet</source><creator>ZHANG HELEI ; LIANG JINGHUA ; WU XIONGXIAO ; OU SHENGHUA ; ZHOU HUOSHENG ; ZHOU LIPENG ; ZHENG SHIFANG ; XIE TIANHONG ; HUANG XIAOCHUAN ; YAO NAIWEN ; LI ZHIKUN ; LI LEI</creator><creatorcontrib>ZHANG HELEI ; LIANG JINGHUA ; WU XIONGXIAO ; OU SHENGHUA ; ZHOU HUOSHENG ; ZHOU LIPENG ; ZHENG SHIFANG ; XIE TIANHONG ; HUANG XIAOCHUAN ; YAO NAIWEN ; LI ZHIKUN ; LI LEI</creatorcontrib><description>The invention relates to the technical field of image processing, in particular to an unmanned aerial vehicle collected image optimization transmission method, which comprises the following steps of: obtaining a gradient image of an unmanned aerial vehicle image, further obtaining an average width between a real edge and a ghosting edge, further obtaining the side length of an image block and the size of an initial convolution kernel, and obtaining an initial convolution kernel; reducing each side length of the unmanned aerial vehicle image to obtain an M image; according to the size of the initial convolution kernel, obtaining the weight of the pixel points on the left and right sides in the initial convolution kernel in the horizontal direction and the weight of the pixel points on the upper and lower sides in the initial convolution kernel in the vertical direction of each pixel point in the M image, and further obtaining the convolution kernels in the horizontal direction and the vertical direction of eac</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; ELECTRIC COMMUNICATION TECHNIQUE ; ELECTRICITY ; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ; PHYSICS ; PICTORIAL COMMUNICATION, e.g. TELEVISION</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&date=20240430&DB=EPODOC&CC=CN&NR=117952840A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76516</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240430&DB=EPODOC&CC=CN&NR=117952840A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>ZHANG HELEI</creatorcontrib><creatorcontrib>LIANG JINGHUA</creatorcontrib><creatorcontrib>WU XIONGXIAO</creatorcontrib><creatorcontrib>OU SHENGHUA</creatorcontrib><creatorcontrib>ZHOU HUOSHENG</creatorcontrib><creatorcontrib>ZHOU LIPENG</creatorcontrib><creatorcontrib>ZHENG SHIFANG</creatorcontrib><creatorcontrib>XIE TIANHONG</creatorcontrib><creatorcontrib>HUANG XIAOCHUAN</creatorcontrib><creatorcontrib>YAO NAIWEN</creatorcontrib><creatorcontrib>LI ZHIKUN</creatorcontrib><creatorcontrib>LI LEI</creatorcontrib><title>Optimized transmission method for images acquired by unmanned aerial vehicle</title><description>The invention relates to the technical field of image processing, in particular to an unmanned aerial vehicle collected image optimization transmission method, which comprises the following steps of: obtaining a gradient image of an unmanned aerial vehicle image, further obtaining an average width between a real edge and a ghosting edge, further obtaining the side length of an image block and the size of an initial convolution kernel, and obtaining an initial convolution kernel; reducing each side length of the unmanned aerial vehicle image to obtain an M image; according to the size of the initial convolution kernel, obtaining the weight of the pixel points on the left and right sides in the initial convolution kernel in the horizontal direction and the weight of the pixel points on the upper and lower sides in the initial convolution kernel in the vertical direction of each pixel point in the M image, and further obtaining the convolution kernels in the horizontal direction and the vertical direction of eac</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRIC COMMUNICATION TECHNIQUE</subject><subject>ELECTRICITY</subject><subject>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</subject><subject>PHYSICS</subject><subject>PICTORIAL COMMUNICATION, e.g. TELEVISION</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2024</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZPDxLyjJzM2sSk1RKClKzCvOzSwuzszPU8hNLcnIT1FIyy9SyMxNTE8tVkhMLizNLAKqS6pUKM3LTczLA7ITU4syE3MUylIzMpNzUnkYWNMSc4pTeaE0N4Oim2uIs4duakF-fGpxQWJyal5qSbyzn6GhuaWpkYWJgaMxMWoA4vY2Rw</recordid><startdate>20240430</startdate><enddate>20240430</enddate><creator>ZHANG HELEI</creator><creator>LIANG JINGHUA</creator><creator>WU XIONGXIAO</creator><creator>OU SHENGHUA</creator><creator>ZHOU HUOSHENG</creator><creator>ZHOU LIPENG</creator><creator>ZHENG SHIFANG</creator><creator>XIE TIANHONG</creator><creator>HUANG XIAOCHUAN</creator><creator>YAO NAIWEN</creator><creator>LI ZHIKUN</creator><creator>LI LEI</creator><scope>EVB</scope></search><sort><creationdate>20240430</creationdate><title>Optimized transmission method for images acquired by unmanned aerial vehicle</title><author>ZHANG HELEI ; LIANG JINGHUA ; WU XIONGXIAO ; OU SHENGHUA ; ZHOU HUOSHENG ; ZHOU LIPENG ; ZHENG SHIFANG ; XIE TIANHONG ; HUANG XIAOCHUAN ; YAO NAIWEN ; LI ZHIKUN ; LI LEI</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN117952840A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2024</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC COMMUNICATION TECHNIQUE</topic><topic>ELECTRICITY</topic><topic>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</topic><topic>PHYSICS</topic><topic>PICTORIAL COMMUNICATION, e.g. TELEVISION</topic><toplevel>online_resources</toplevel><creatorcontrib>ZHANG HELEI</creatorcontrib><creatorcontrib>LIANG JINGHUA</creatorcontrib><creatorcontrib>WU XIONGXIAO</creatorcontrib><creatorcontrib>OU SHENGHUA</creatorcontrib><creatorcontrib>ZHOU HUOSHENG</creatorcontrib><creatorcontrib>ZHOU LIPENG</creatorcontrib><creatorcontrib>ZHENG SHIFANG</creatorcontrib><creatorcontrib>XIE TIANHONG</creatorcontrib><creatorcontrib>HUANG XIAOCHUAN</creatorcontrib><creatorcontrib>YAO NAIWEN</creatorcontrib><creatorcontrib>LI ZHIKUN</creatorcontrib><creatorcontrib>LI LEI</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>ZHANG HELEI</au><au>LIANG JINGHUA</au><au>WU XIONGXIAO</au><au>OU SHENGHUA</au><au>ZHOU HUOSHENG</au><au>ZHOU LIPENG</au><au>ZHENG SHIFANG</au><au>XIE TIANHONG</au><au>HUANG XIAOCHUAN</au><au>YAO NAIWEN</au><au>LI ZHIKUN</au><au>LI LEI</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Optimized transmission method for images acquired by unmanned aerial vehicle</title><date>2024-04-30</date><risdate>2024</risdate><abstract>The invention relates to the technical field of image processing, in particular to an unmanned aerial vehicle collected image optimization transmission method, which comprises the following steps of: obtaining a gradient image of an unmanned aerial vehicle image, further obtaining an average width between a real edge and a ghosting edge, further obtaining the side length of an image block and the size of an initial convolution kernel, and obtaining an initial convolution kernel; reducing each side length of the unmanned aerial vehicle image to obtain an M image; according to the size of the initial convolution kernel, obtaining the weight of the pixel points on the left and right sides in the initial convolution kernel in the horizontal direction and the weight of the pixel points on the upper and lower sides in the initial convolution kernel in the vertical direction of each pixel point in the M image, and further obtaining the convolution kernels in the horizontal direction and the vertical direction of eac</abstract><oa>free_for_read</oa></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | |
ispartof | |
issn | |
language | chi ; eng |
recordid | cdi_epo_espacenet_CN117952840A |
source | esp@cenet |
subjects | CALCULATING COMPUTING COUNTING ELECTRIC COMMUNICATION TECHNIQUE ELECTRICITY IMAGE DATA PROCESSING OR GENERATION, IN GENERAL PHYSICS PICTORIAL COMMUNICATION, e.g. TELEVISION |
title | Optimized transmission method for images acquired by unmanned aerial vehicle |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-21T22%3A54%3A19IST&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%20HELEI&rft.date=2024-04-30&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN117952840A%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 |