Infrared contrast enhancement method based on local optimum

Infrared contrast enhancement method based on local optimum

The invention discloses an infrared contrast enhancement method based on local optimum, and belongs to the technical field of image processing. The problems of poor local contrast information, local information loss and global brightness relation distortion in the existing high-dynamic infrared imag...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: JIN WEIQI, ZHU YOUPAN, ZHOU YONGKANG, WU GUANLIN
Format: Patent
Sprache:chi ; eng
Schlagworte:
CALCULATING
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 JIN WEIQI
ZHU YOUPAN
ZHOU YONGKANG
WU GUANLIN
description The invention discloses an infrared contrast enhancement method based on local optimum, and belongs to the technical field of image processing. The problems of poor local contrast information, local information loss and global brightness relation distortion in the existing high-dynamic infrared image processing technology are solved. According to the method, the original high-dynamic image is partitioned, and the local contrast of the image is enhanced by adopting optimal local contrast pulling; gaussian smoothing is carried out on parameters between blocks to suppress a blocking effect; taking the image with the compressed global contrast as a local brightness guide image to obtain a background layer compressed image with the lifted local contrast; and adding the background layer compressed image and the detail layer image again according to a linear proportion to obtain a final image. And keeping the brightness relation of the original image. The method is suitable for the field of image processing, local c
format Patent
fullrecord <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN116523798A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN116523798A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN116523798A3</originalsourceid><addsrcrecordid>eNrjZLD2zEsrSixKTVFIzs8rKUosLlFIzctIzEtOzU3NK1HITS3JyE9RSEosBqrIz1PIyU9OzFHILyjJzC3N5WFgTUvMKU7lhdLcDIpuriHOHrqpBfnxqcUFicmpeakl8c5-hoZmpkbG5pYWjsbEqAEAx1IvqA</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Infrared contrast enhancement method based on local optimum</title><source>esp@cenet</source><creator>JIN WEIQI ; ZHU YOUPAN ; ZHOU YONGKANG ; WU GUANLIN</creator><creatorcontrib>JIN WEIQI ; ZHU YOUPAN ; ZHOU YONGKANG ; WU GUANLIN</creatorcontrib><description>The invention discloses an infrared contrast enhancement method based on local optimum, and belongs to the technical field of image processing. The problems of poor local contrast information, local information loss and global brightness relation distortion in the existing high-dynamic infrared image processing technology are solved. According to the method, the original high-dynamic image is partitioned, and the local contrast of the image is enhanced by adopting optimal local contrast pulling; gaussian smoothing is carried out on parameters between blocks to suppress a blocking effect; taking the image with the compressed global contrast as a local brightness guide image to obtain a background layer compressed image with the lifted local contrast; and adding the background layer compressed image and the detail layer image again according to a linear proportion to obtain a final image. And keeping the brightness relation of the original image. The method is suitable for the field of image processing, local c</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ; PHYSICS</subject><creationdate>2023</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=20230801&amp;DB=EPODOC&amp;CC=CN&amp;NR=116523798A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76290</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20230801&amp;DB=EPODOC&amp;CC=CN&amp;NR=116523798A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>JIN WEIQI</creatorcontrib><creatorcontrib>ZHU YOUPAN</creatorcontrib><creatorcontrib>ZHOU YONGKANG</creatorcontrib><creatorcontrib>WU GUANLIN</creatorcontrib><title>Infrared contrast enhancement method based on local optimum</title><description>The invention discloses an infrared contrast enhancement method based on local optimum, and belongs to the technical field of image processing. The problems of poor local contrast information, local information loss and global brightness relation distortion in the existing high-dynamic infrared image processing technology are solved. According to the method, the original high-dynamic image is partitioned, and the local contrast of the image is enhanced by adopting optimal local contrast pulling; gaussian smoothing is carried out on parameters between blocks to suppress a blocking effect; taking the image with the compressed global contrast as a local brightness guide image to obtain a background layer compressed image with the lifted local contrast; and adding the background layer compressed image and the detail layer image again according to a linear proportion to obtain a final image. And keeping the brightness relation of the original image. The method is suitable for the field of image processing, local c</description><subject>CALCULATING</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>2023</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZLD2zEsrSixKTVFIzs8rKUosLlFIzctIzEtOzU3NK1HITS3JyE9RSEosBqrIz1PIyU9OzFHILyjJzC3N5WFgTUvMKU7lhdLcDIpuriHOHrqpBfnxqcUFicmpeakl8c5-hoZmpkbG5pYWjsbEqAEAx1IvqA</recordid><startdate>20230801</startdate><enddate>20230801</enddate><creator>JIN WEIQI</creator><creator>ZHU YOUPAN</creator><creator>ZHOU YONGKANG</creator><creator>WU GUANLIN</creator><scope>EVB</scope></search><sort><creationdate>20230801</creationdate><title>Infrared contrast enhancement method based on local optimum</title><author>JIN WEIQI ; ZHU YOUPAN ; ZHOU YONGKANG ; WU GUANLIN</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN116523798A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2023</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>JIN WEIQI</creatorcontrib><creatorcontrib>ZHU YOUPAN</creatorcontrib><creatorcontrib>ZHOU YONGKANG</creatorcontrib><creatorcontrib>WU GUANLIN</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>JIN WEIQI</au><au>ZHU YOUPAN</au><au>ZHOU YONGKANG</au><au>WU GUANLIN</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Infrared contrast enhancement method based on local optimum</title><date>2023-08-01</date><risdate>2023</risdate><abstract>The invention discloses an infrared contrast enhancement method based on local optimum, and belongs to the technical field of image processing. The problems of poor local contrast information, local information loss and global brightness relation distortion in the existing high-dynamic infrared image processing technology are solved. According to the method, the original high-dynamic image is partitioned, and the local contrast of the image is enhanced by adopting optimal local contrast pulling; gaussian smoothing is carried out on parameters between blocks to suppress a blocking effect; taking the image with the compressed global contrast as a local brightness guide image to obtain a background layer compressed image with the lifted local contrast; and adding the background layer compressed image and the detail layer image again according to a linear proportion to obtain a final image. And keeping the brightness relation of the original image. The method is suitable for the field of image processing, local c</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language chi ; eng
recordid cdi_epo_espacenet_CN116523798A
source esp@cenet
subjects CALCULATING
COMPUTING
COUNTING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
title Infrared contrast enhancement method based on local optimum
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-02T12%3A24%3A02IST&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=JIN%20WEIQI&rft.date=2023-08-01&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN116523798A%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