New multi-view image color correction method with karhunen- loeve transform
Inconsistent color between different viewpoints is a serious problem in multi-view image processing. A multi-view image color correction method is proposed. We first estimate whether global correction satisfied for the target image and source image. If no global correction is satisfied, image segmen...
Gespeichert in:
| Hauptverfasser: | , , , , , |
|---|---|
| Format: | Tagungsbericht |
| Sprache: | 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 | 2 |
| creator | Feng Shao Gangyi Jiang Zhidi Jiang Mei Yu Weiyue Liu Xiexiong Chen |
| description | Inconsistent color between different viewpoints is a serious problem in multi-view image processing. A multi-view image color correction method is proposed. We first estimate whether global correction satisfied for the target image and source image. If no global correction is satisfied, image segmentation and Karhunen-Loeve (K-L) transform are performed. Then, local mapping relations between target and source images will be established. Finally, preferred region matching method is used to correct source image. Experimental results show that, compared with other correction algorithms, corrected multi-images, obtained by the proposed method, have higher similarity with target image and the proposed method can achieve better correction result |
| doi_str_mv | 10.1109/ICOSP.2006.345708 |
| format | Conference Proceeding |
| fullrecord | <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_4129000</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>4129000</ieee_id><sourcerecordid>4129000</sourcerecordid><originalsourceid>FETCH-LOGICAL-i175t-41fd30b2a535db59afb1921d9f2d81950c8d3928890579fb468445029fa944a73</originalsourceid><addsrcrecordid>eNo1T9tKAzEUjGjBWvsB4kt-IPXknvMoxUuxWEF9LtluYqN7key2xb93RYVhLi_DDCEXHGacA14t5qvnp5kAMDOptAV3RKZoHQyQaKV1x-TsPxh5QsaCG8W0EHxExmAYCosCT8m0694BQHLnjDRj8vAYDrTeVX1i-zTYVPu3QDdt1eaBcw6bPrUNrUO_bUt6SP2Wfvi83TWhYbRqwz7QPvumi22uz8ko-qoL0z-dkNfbm5f5PVuu7hbz6yVL3OqeKR5LCYXwWuqy0OhjwVHwEqMoHUcNG1dKFM4haIuxUMYppUFg9KiUt3JCLn97Uwhh_ZmHzflrrbjAn2ffWB9R1A</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>New multi-view image color correction method with karhunen- loeve transform</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Feng Shao ; Gangyi Jiang ; Zhidi Jiang ; Mei Yu ; Weiyue Liu ; Xiexiong Chen</creator><creatorcontrib>Feng Shao ; Gangyi Jiang ; Zhidi Jiang ; Mei Yu ; Weiyue Liu ; Xiexiong Chen</creatorcontrib><description>Inconsistent color between different viewpoints is a serious problem in multi-view image processing. A multi-view image color correction method is proposed. We first estimate whether global correction satisfied for the target image and source image. If no global correction is satisfied, image segmentation and Karhunen-Loeve (K-L) transform are performed. Then, local mapping relations between target and source images will be established. Finally, preferred region matching method is used to correct source image. Experimental results show that, compared with other correction algorithms, corrected multi-images, obtained by the proposed method, have higher similarity with target image and the proposed method can achieve better correction result</description><identifier>ISSN: 2164-5221</identifier><identifier>ISBN: 0780397363</identifier><identifier>ISBN: 9780780397361</identifier><identifier>EISBN: 9780780397378</identifier><identifier>EISBN: 0780397371</identifier><identifier>DOI: 10.1109/ICOSP.2006.345708</identifier><identifier>LCCN: 06-927929</identifier><language>eng</language><subject>Color ; Colored noise ; Histograms ; Image converters ; Image processing ; Image segmentation ; Information science ; Karhunen-Loeve transforms ; Laboratories</subject><ispartof>2006 8th international Conference on Signal Processing, 2006, Vol.2</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/4129000$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2052,4036,4037,27904,54898</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4129000$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Feng Shao</creatorcontrib><creatorcontrib>Gangyi Jiang</creatorcontrib><creatorcontrib>Zhidi Jiang</creatorcontrib><creatorcontrib>Mei Yu</creatorcontrib><creatorcontrib>Weiyue Liu</creatorcontrib><creatorcontrib>Xiexiong Chen</creatorcontrib><title>New multi-view image color correction method with karhunen- loeve transform</title><title>2006 8th international Conference on Signal Processing</title><addtitle>ICOSP</addtitle><description>Inconsistent color between different viewpoints is a serious problem in multi-view image processing. A multi-view image color correction method is proposed. We first estimate whether global correction satisfied for the target image and source image. If no global correction is satisfied, image segmentation and Karhunen-Loeve (K-L) transform are performed. Then, local mapping relations between target and source images will be established. Finally, preferred region matching method is used to correct source image. Experimental results show that, compared with other correction algorithms, corrected multi-images, obtained by the proposed method, have higher similarity with target image and the proposed method can achieve better correction result</description><subject>Color</subject><subject>Colored noise</subject><subject>Histograms</subject><subject>Image converters</subject><subject>Image processing</subject><subject>Image segmentation</subject><subject>Information science</subject><subject>Karhunen-Loeve transforms</subject><subject>Laboratories</subject><issn>2164-5221</issn><isbn>0780397363</isbn><isbn>9780780397361</isbn><isbn>9780780397378</isbn><isbn>0780397371</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2006</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1T9tKAzEUjGjBWvsB4kt-IPXknvMoxUuxWEF9LtluYqN7key2xb93RYVhLi_DDCEXHGacA14t5qvnp5kAMDOptAV3RKZoHQyQaKV1x-TsPxh5QsaCG8W0EHxExmAYCosCT8m0694BQHLnjDRj8vAYDrTeVX1i-zTYVPu3QDdt1eaBcw6bPrUNrUO_bUt6SP2Wfvi83TWhYbRqwz7QPvumi22uz8ko-qoL0z-dkNfbm5f5PVuu7hbz6yVL3OqeKR5LCYXwWuqy0OhjwVHwEqMoHUcNG1dKFM4haIuxUMYppUFg9KiUt3JCLn97Uwhh_ZmHzflrrbjAn2ffWB9R1A</recordid><startdate>2006</startdate><enddate>2006</enddate><creator>Feng Shao</creator><creator>Gangyi Jiang</creator><creator>Zhidi Jiang</creator><creator>Mei Yu</creator><creator>Weiyue Liu</creator><creator>Xiexiong Chen</creator><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>2006</creationdate><title>New multi-view image color correction method with karhunen- loeve transform</title><author>Feng Shao ; Gangyi Jiang ; Zhidi Jiang ; Mei Yu ; Weiyue Liu ; Xiexiong Chen</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-41fd30b2a535db59afb1921d9f2d81950c8d3928890579fb468445029fa944a73</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Color</topic><topic>Colored noise</topic><topic>Histograms</topic><topic>Image converters</topic><topic>Image processing</topic><topic>Image segmentation</topic><topic>Information science</topic><topic>Karhunen-Loeve transforms</topic><topic>Laboratories</topic><toplevel>online_resources</toplevel><creatorcontrib>Feng Shao</creatorcontrib><creatorcontrib>Gangyi Jiang</creatorcontrib><creatorcontrib>Zhidi Jiang</creatorcontrib><creatorcontrib>Mei Yu</creatorcontrib><creatorcontrib>Weiyue Liu</creatorcontrib><creatorcontrib>Xiexiong Chen</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Feng Shao</au><au>Gangyi Jiang</au><au>Zhidi Jiang</au><au>Mei Yu</au><au>Weiyue Liu</au><au>Xiexiong Chen</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>New multi-view image color correction method with karhunen- loeve transform</atitle><btitle>2006 8th international Conference on Signal Processing</btitle><stitle>ICOSP</stitle><date>2006</date><risdate>2006</risdate><volume>2</volume><issn>2164-5221</issn><isbn>0780397363</isbn><isbn>9780780397361</isbn><eisbn>9780780397378</eisbn><eisbn>0780397371</eisbn><abstract>Inconsistent color between different viewpoints is a serious problem in multi-view image processing. A multi-view image color correction method is proposed. We first estimate whether global correction satisfied for the target image and source image. If no global correction is satisfied, image segmentation and Karhunen-Loeve (K-L) transform are performed. Then, local mapping relations between target and source images will be established. Finally, preferred region matching method is used to correct source image. Experimental results show that, compared with other correction algorithms, corrected multi-images, obtained by the proposed method, have higher similarity with target image and the proposed method can achieve better correction result</abstract><doi>10.1109/ICOSP.2006.345708</doi></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISSN: 2164-5221 |
| ispartof | 2006 8th international Conference on Signal Processing, 2006, Vol.2 |
| issn | 2164-5221 |
| language | eng |
| recordid | cdi_ieee_primary_4129000 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Color Colored noise Histograms Image converters Image processing Image segmentation Information science Karhunen-Loeve transforms Laboratories |
| title | New multi-view image color correction method with karhunen- loeve transform |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-27T11%3A34%3A25IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=New%20multi-view%20image%20color%20correction%20method%20with%20karhunen-%20loeve%20transform&rft.btitle=2006%208th%20international%20Conference%20on%20Signal%20Processing&rft.au=Feng%20Shao&rft.date=2006&rft.volume=2&rft.issn=2164-5221&rft.isbn=0780397363&rft.isbn_list=9780780397361&rft_id=info:doi/10.1109/ICOSP.2006.345708&rft_dat=%3Cieee_6IE%3E4129000%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&rft.eisbn=9780780397378&rft.eisbn_list=0780397371&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=4129000&rfr_iscdi=true |