Blotches correction and contrast enhancement for old film pictures

A complete system for old picture restoration is described: in particular, a frame alignment method, a simple deblotching algorithm and a nonlinear approach for contrast enhancement are proposed. The frame alignment uses a global motion compensation, with a logarithmic search for the correction vect...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Tenze, L., Ramponi, G., Carrato, S.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 663 vol.2
container_issue
container_start_page 660
container_title
container_volume 2
creator Tenze, L.
Ramponi, G.
Carrato, S.
description A complete system for old picture restoration is described: in particular, a frame alignment method, a simple deblotching algorithm and a nonlinear approach for contrast enhancement are proposed. The frame alignment uses a global motion compensation, with a logarithmic search for the correction vector. The blotch removal step consists of two stages. Blotches are first detected using two suitable morphological operators; the resulting pixel maps are merged and then validated using an estimate of the motion. Secondly, a multilevel median filter is used to replace sets of pixels identified as blotches. For contrast enhancement we use a rational unsharp masking technique which is able to effectively treat the high resolution images. To comply with the film properties the sharpening operator acts strongly in the dark regions and weakly in the bright ones. It can also reduce noise in homogeneous areas.
doi_str_mv 10.1109/ICIP.2000.899795
format Conference Proceeding
fullrecord <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_899795</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>899795</ieee_id><sourcerecordid>899795</sourcerecordid><originalsourceid>FETCH-LOGICAL-i87t-4a14160f2cf4339e9fd81d2d62ab8be9219c89583fd5c05fb64a070230d557313</originalsourceid><addsrcrecordid>eNotj7tqwzAYRkUv0DTNXjrpBez-ulnS2JheDIF2yB5kXYiKLQdJHfr2DaTTxxnOgQ-hRwItIaCfh374aikAtEprqcUVWlGmSKME19foHqQC1lEt5Q1aEUFpw5WCO7Qp5fssARdcKrpC2-20VHv0BdslZ29rXBI2yZ0x1WxKxT4dTbJ-9qnisGS8TA6HOM34FG39yb48oNtgpuI3_7tG-7fXff_R7D7fh_5l10Qla8MN4aSDQG3gjGmvg1PEUddRM6rRa0q0VVooFpywIMLYcQMSKAMnhGSErdHTJRu994dTjrPJv4fLefYHDnlLdQ</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Blotches correction and contrast enhancement for old film pictures</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Tenze, L. ; Ramponi, G. ; Carrato, S.</creator><creatorcontrib>Tenze, L. ; Ramponi, G. ; Carrato, S.</creatorcontrib><description>A complete system for old picture restoration is described: in particular, a frame alignment method, a simple deblotching algorithm and a nonlinear approach for contrast enhancement are proposed. The frame alignment uses a global motion compensation, with a logarithmic search for the correction vector. The blotch removal step consists of two stages. Blotches are first detected using two suitable morphological operators; the resulting pixel maps are merged and then validated using an estimate of the motion. Secondly, a multilevel median filter is used to replace sets of pixels identified as blotches. For contrast enhancement we use a rational unsharp masking technique which is able to effectively treat the high resolution images. To comply with the film properties the sharpening operator acts strongly in the dark regions and weakly in the bright ones. It can also reduce noise in homogeneous areas.</description><identifier>ISSN: 1522-4880</identifier><identifier>ISBN: 0780362977</identifier><identifier>ISBN: 9780780362970</identifier><identifier>EISSN: 2381-8549</identifier><identifier>DOI: 10.1109/ICIP.2000.899795</identifier><language>eng</language><publisher>IEEE</publisher><subject>1f noise ; Additive noise ; Filters ; Image resolution ; Image restoration ; Motion compensation ; Motion detection ; Motion estimation ; Motion pictures ; Noise reduction</subject><ispartof>Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101), 2000, Vol.2, p.660-663 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/899795$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2056,4048,4049,27924,54919</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/899795$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Tenze, L.</creatorcontrib><creatorcontrib>Ramponi, G.</creatorcontrib><creatorcontrib>Carrato, S.</creatorcontrib><title>Blotches correction and contrast enhancement for old film pictures</title><title>Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101)</title><addtitle>ICIP</addtitle><description>A complete system for old picture restoration is described: in particular, a frame alignment method, a simple deblotching algorithm and a nonlinear approach for contrast enhancement are proposed. The frame alignment uses a global motion compensation, with a logarithmic search for the correction vector. The blotch removal step consists of two stages. Blotches are first detected using two suitable morphological operators; the resulting pixel maps are merged and then validated using an estimate of the motion. Secondly, a multilevel median filter is used to replace sets of pixels identified as blotches. For contrast enhancement we use a rational unsharp masking technique which is able to effectively treat the high resolution images. To comply with the film properties the sharpening operator acts strongly in the dark regions and weakly in the bright ones. It can also reduce noise in homogeneous areas.</description><subject>1f noise</subject><subject>Additive noise</subject><subject>Filters</subject><subject>Image resolution</subject><subject>Image restoration</subject><subject>Motion compensation</subject><subject>Motion detection</subject><subject>Motion estimation</subject><subject>Motion pictures</subject><subject>Noise reduction</subject><issn>1522-4880</issn><issn>2381-8549</issn><isbn>0780362977</isbn><isbn>9780780362970</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2000</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotj7tqwzAYRkUv0DTNXjrpBez-ulnS2JheDIF2yB5kXYiKLQdJHfr2DaTTxxnOgQ-hRwItIaCfh374aikAtEprqcUVWlGmSKME19foHqQC1lEt5Q1aEUFpw5WCO7Qp5fssARdcKrpC2-20VHv0BdslZ29rXBI2yZ0x1WxKxT4dTbJ-9qnisGS8TA6HOM34FG39yb48oNtgpuI3_7tG-7fXff_R7D7fh_5l10Qla8MN4aSDQG3gjGmvg1PEUddRM6rRa0q0VVooFpywIMLYcQMSKAMnhGSErdHTJRu994dTjrPJv4fLefYHDnlLdQ</recordid><startdate>2000</startdate><enddate>2000</enddate><creator>Tenze, L.</creator><creator>Ramponi, G.</creator><creator>Carrato, S.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>2000</creationdate><title>Blotches correction and contrast enhancement for old film pictures</title><author>Tenze, L. ; Ramponi, G. ; Carrato, S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i87t-4a14160f2cf4339e9fd81d2d62ab8be9219c89583fd5c05fb64a070230d557313</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2000</creationdate><topic>1f noise</topic><topic>Additive noise</topic><topic>Filters</topic><topic>Image resolution</topic><topic>Image restoration</topic><topic>Motion compensation</topic><topic>Motion detection</topic><topic>Motion estimation</topic><topic>Motion pictures</topic><topic>Noise reduction</topic><toplevel>online_resources</toplevel><creatorcontrib>Tenze, L.</creatorcontrib><creatorcontrib>Ramponi, G.</creatorcontrib><creatorcontrib>Carrato, S.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Tenze, L.</au><au>Ramponi, G.</au><au>Carrato, S.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Blotches correction and contrast enhancement for old film pictures</atitle><btitle>Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101)</btitle><stitle>ICIP</stitle><date>2000</date><risdate>2000</risdate><volume>2</volume><spage>660</spage><epage>663 vol.2</epage><pages>660-663 vol.2</pages><issn>1522-4880</issn><eissn>2381-8549</eissn><isbn>0780362977</isbn><isbn>9780780362970</isbn><abstract>A complete system for old picture restoration is described: in particular, a frame alignment method, a simple deblotching algorithm and a nonlinear approach for contrast enhancement are proposed. The frame alignment uses a global motion compensation, with a logarithmic search for the correction vector. The blotch removal step consists of two stages. Blotches are first detected using two suitable morphological operators; the resulting pixel maps are merged and then validated using an estimate of the motion. Secondly, a multilevel median filter is used to replace sets of pixels identified as blotches. For contrast enhancement we use a rational unsharp masking technique which is able to effectively treat the high resolution images. To comply with the film properties the sharpening operator acts strongly in the dark regions and weakly in the bright ones. It can also reduce noise in homogeneous areas.</abstract><pub>IEEE</pub><doi>10.1109/ICIP.2000.899795</doi></addata></record>
fulltext fulltext_linktorsrc
identifier ISSN: 1522-4880
ispartof Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101), 2000, Vol.2, p.660-663 vol.2
issn 1522-4880
2381-8549
language eng
recordid cdi_ieee_primary_899795
source IEEE Electronic Library (IEL) Conference Proceedings
subjects 1f noise
Additive noise
Filters
Image resolution
Image restoration
Motion compensation
Motion detection
Motion estimation
Motion pictures
Noise reduction
title Blotches correction and contrast enhancement for old film pictures
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-12T11%3A57%3A37IST&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=Blotches%20correction%20and%20contrast%20enhancement%20for%20old%20film%20pictures&rft.btitle=Proceedings%202000%20International%20Conference%20on%20Image%20Processing%20(Cat.%20No.00CH37101)&rft.au=Tenze,%20L.&rft.date=2000&rft.volume=2&rft.spage=660&rft.epage=663%20vol.2&rft.pages=660-663%20vol.2&rft.issn=1522-4880&rft.eissn=2381-8549&rft.isbn=0780362977&rft.isbn_list=9780780362970&rft_id=info:doi/10.1109/ICIP.2000.899795&rft_dat=%3Cieee_6IE%3E899795%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=899795&rfr_iscdi=true