Rail transit video monitoring image enhancement algorithm
The invention provides a rail transit video monitoring image enhancement algorithm which comprises the following steps: S1, dividing an image into two color lumps and two edge components which respectively correspond to a frequency domain, a low-frequency component of the image corresponding to the...
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| creator | YANG WANGWEI LIAN LEI JIANG CHUNHUA GUAN CAILU ZHAO JIAJIA ZHAO JIAN JIA PING |
| description | The invention provides a rail transit video monitoring image enhancement algorithm which comprises the following steps: S1, dividing an image into two color lumps and two edge components which respectively correspond to a frequency domain, a low-frequency component of the image corresponding to the color lumps and a high-frequency component of the image corresponding to edge details; s2, enhancingthe low-frequency component by using global adaptive gamma correction, and enhancing the high-frequency component by using Fourier transform; and S3, superposing the enhancement images correspondingto the low-frequency component and the high-frequency component to obtain an output image. The invention belongs to a high-frequency and low-frequency separated brightness adjustment algorithm. Low-frequency and high-frequency images are respectively enhanced by adopting respective suitable different methods, so that a better result can be obtained.
本发明提出了一种轨道交通视频监控图像增强算法，包括以下步骤：S1、将一幅图像分为两个色块和边缘两分量，且分别对应到频域，色块对应图像的低频分量，边缘 |
| format | Patent |
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本发明提出了一种轨道交通视频监控图像增强算法，包括以下步骤：S1、将一幅图像分为两个色块和边缘两分量，且分别对应到频域，色块对应图像的低频分量，边缘</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ; PHYSICS</subject><creationdate>2021</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=20210330&DB=EPODOC&CC=CN&NR=112581404A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76289</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20210330&DB=EPODOC&CC=CN&NR=112581404A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>YANG WANGWEI</creatorcontrib><creatorcontrib>LIAN LEI</creatorcontrib><creatorcontrib>JIANG CHUNHUA</creatorcontrib><creatorcontrib>GUAN CAILU</creatorcontrib><creatorcontrib>ZHAO JIAJIA</creatorcontrib><creatorcontrib>ZHAO JIAN</creatorcontrib><creatorcontrib>JIA PING</creatorcontrib><title>Rail transit video monitoring image enhancement algorithm</title><description>The invention provides a rail transit video monitoring image enhancement algorithm which comprises the following steps: S1, dividing an image into two color lumps and two edge components which respectively correspond to a frequency domain, a low-frequency component of the image corresponding to the color lumps and a high-frequency component of the image corresponding to edge details; s2, enhancingthe low-frequency component by using global adaptive gamma correction, and enhancing the high-frequency component by using Fourier transform; and S3, superposing the enhancement images correspondingto the low-frequency component and the high-frequency component to obtain an output image. The invention belongs to a high-frequency and low-frequency separated brightness adjustment algorithm. Low-frequency and high-frequency images are respectively enhanced by adopting respective suitable different methods, so that a better result can be obtained.
本发明提出了一种轨道交通视频监控图像增强算法，包括以下步骤：S1、将一幅图像分为两个色块和边缘两分量，且分别对应到频域，色块对应图像的低频分量，边缘</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>2021</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZLAMSszMUSgpSswrzixRKMtMSc1XyM3PyyzJL8rMS1fIzE1MT1VIzctIzEtOzU3NK1FIzEkHSpVk5PIwsKYl5hSn8kJpbgZFN9cQZw_d1IL8-NTigsTk1LzUknhnP0NDI1MLQxMDE0djYtQAAGxeLw4</recordid><startdate>20210330</startdate><enddate>20210330</enddate><creator>YANG WANGWEI</creator><creator>LIAN LEI</creator><creator>JIANG CHUNHUA</creator><creator>GUAN CAILU</creator><creator>ZHAO JIAJIA</creator><creator>ZHAO JIAN</creator><creator>JIA PING</creator><scope>EVB</scope></search><sort><creationdate>20210330</creationdate><title>Rail transit video monitoring image enhancement algorithm</title><author>YANG WANGWEI ; LIAN LEI ; JIANG CHUNHUA ; GUAN CAILU ; ZHAO JIAJIA ; ZHAO JIAN ; JIA PING</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN112581404A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2021</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>YANG WANGWEI</creatorcontrib><creatorcontrib>LIAN LEI</creatorcontrib><creatorcontrib>JIANG CHUNHUA</creatorcontrib><creatorcontrib>GUAN CAILU</creatorcontrib><creatorcontrib>ZHAO JIAJIA</creatorcontrib><creatorcontrib>ZHAO JIAN</creatorcontrib><creatorcontrib>JIA PING</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>YANG WANGWEI</au><au>LIAN LEI</au><au>JIANG CHUNHUA</au><au>GUAN CAILU</au><au>ZHAO JIAJIA</au><au>ZHAO JIAN</au><au>JIA PING</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Rail transit video monitoring image enhancement algorithm</title><date>2021-03-30</date><risdate>2021</risdate><abstract>The invention provides a rail transit video monitoring image enhancement algorithm which comprises the following steps: S1, dividing an image into two color lumps and two edge components which respectively correspond to a frequency domain, a low-frequency component of the image corresponding to the color lumps and a high-frequency component of the image corresponding to edge details; s2, enhancingthe low-frequency component by using global adaptive gamma correction, and enhancing the high-frequency component by using Fourier transform; and S3, superposing the enhancement images correspondingto the low-frequency component and the high-frequency component to obtain an output image. The invention belongs to a high-frequency and low-frequency separated brightness adjustment algorithm. Low-frequency and high-frequency images are respectively enhanced by adopting respective suitable different methods, so that a better result can be obtained.
本发明提出了一种轨道交通视频监控图像增强算法，包括以下步骤：S1、将一幅图像分为两个色块和边缘两分量，且分别对应到频域，色块对应图像的低频分量，边缘</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTING COUNTING IMAGE DATA PROCESSING OR GENERATION, IN GENERAL PHYSICS |
| title | Rail transit video monitoring image enhancement algorithm |
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