Antialiasing recovery
We present a method for restoring antialiased edges that are damaged by certain types of nonlinear image filters. This problem arises with many common operations such as intensity thresholding, tone mapping, gamma correction, histogram equalization, bilateral filters, unsharp masking, and certain no...
Gespeichert in:
Veröffentlicht in: | ACM transactions on graphics 2011-05, Vol.30 (3), p.1-9 |
---|---|
Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 9 |
---|---|
container_issue | 3 |
container_start_page | 1 |
container_title | ACM transactions on graphics |
container_volume | 30 |
creator | Yang, Lei Sander, Pedro V. Lawrence, Jason Hoppe, Hugues |
description | We present a method for restoring antialiased edges that are damaged by certain types of nonlinear image filters. This problem arises with many common operations such as intensity thresholding, tone mapping, gamma correction, histogram equalization, bilateral filters, unsharp masking, and certain nonphotorealistic filters. We present a simple algorithm that selectively adjusts the local gradients in affected regions of the filtered image so that they are consistent with those in the original image. Our algorithm is highly parallel and is therefore easily implemented on a GPU. Our prototype system can process up to 500 megapixels per second and we present results for a number of different image filters. |
doi_str_mv | 10.1145/1966394.1966401 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_901651513</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>901651513</sourcerecordid><originalsourceid>FETCH-LOGICAL-c339t-f122e71f1804b324b1e317379927dff537bb71b90589418e4bb23ed0b044b9f3</originalsourceid><addsrcrecordid>eNotj01Lw0AUABdRMFaP4tWbp7Tv5e1H9liKVqHgpfdlN30rkTSpu6nQf6-lOc1lGBghnhDmiFIt0GpNVs7PlIBXokClTGlI19eiAENQAgHeirucvwFAS6kL8bjsx9Z3rc9t__WcuBl-OZ3uxU30XeaHiTOxfXvdrt7Lzef6Y7XclA2RHcuIVcUGI9YgA1UyIBMaMtZWZhejIhOCwWBB1VZizTKEingHAaQMNtJMvFyyhzT8HDmPbt_mhrvO9zwcs7OAWqFC-jcXF7NJQ86Jozukdu_TySG4876b9t20T3_pEUoy</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>901651513</pqid></control><display><type>article</type><title>Antialiasing recovery</title><source>ACM Digital Library</source><creator>Yang, Lei ; Sander, Pedro V. ; Lawrence, Jason ; Hoppe, Hugues</creator><creatorcontrib>Yang, Lei ; Sander, Pedro V. ; Lawrence, Jason ; Hoppe, Hugues</creatorcontrib><description>We present a method for restoring antialiased edges that are damaged by certain types of nonlinear image filters. This problem arises with many common operations such as intensity thresholding, tone mapping, gamma correction, histogram equalization, bilateral filters, unsharp masking, and certain nonphotorealistic filters. We present a simple algorithm that selectively adjusts the local gradients in affected regions of the filtered image so that they are consistent with those in the original image. Our algorithm is highly parallel and is therefore easily implemented on a GPU. Our prototype system can process up to 500 megapixels per second and we present results for a number of different image filters.</description><identifier>ISSN: 0730-0301</identifier><identifier>EISSN: 1557-7368</identifier><identifier>DOI: 10.1145/1966394.1966401</identifier><language>eng</language><subject>Adjustment ; Algorithms ; Damage ; Equalization ; Image filters ; Nonlinearity ; Renovating</subject><ispartof>ACM transactions on graphics, 2011-05, Vol.30 (3), p.1-9</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c339t-f122e71f1804b324b1e317379927dff537bb71b90589418e4bb23ed0b044b9f3</citedby><cites>FETCH-LOGICAL-c339t-f122e71f1804b324b1e317379927dff537bb71b90589418e4bb23ed0b044b9f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27922,27923</link.rule.ids></links><search><creatorcontrib>Yang, Lei</creatorcontrib><creatorcontrib>Sander, Pedro V.</creatorcontrib><creatorcontrib>Lawrence, Jason</creatorcontrib><creatorcontrib>Hoppe, Hugues</creatorcontrib><title>Antialiasing recovery</title><title>ACM transactions on graphics</title><description>We present a method for restoring antialiased edges that are damaged by certain types of nonlinear image filters. This problem arises with many common operations such as intensity thresholding, tone mapping, gamma correction, histogram equalization, bilateral filters, unsharp masking, and certain nonphotorealistic filters. We present a simple algorithm that selectively adjusts the local gradients in affected regions of the filtered image so that they are consistent with those in the original image. Our algorithm is highly parallel and is therefore easily implemented on a GPU. Our prototype system can process up to 500 megapixels per second and we present results for a number of different image filters.</description><subject>Adjustment</subject><subject>Algorithms</subject><subject>Damage</subject><subject>Equalization</subject><subject>Image filters</subject><subject>Nonlinearity</subject><subject>Renovating</subject><issn>0730-0301</issn><issn>1557-7368</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><recordid>eNotj01Lw0AUABdRMFaP4tWbp7Tv5e1H9liKVqHgpfdlN30rkTSpu6nQf6-lOc1lGBghnhDmiFIt0GpNVs7PlIBXokClTGlI19eiAENQAgHeirucvwFAS6kL8bjsx9Z3rc9t__WcuBl-OZ3uxU30XeaHiTOxfXvdrt7Lzef6Y7XclA2RHcuIVcUGI9YgA1UyIBMaMtZWZhejIhOCwWBB1VZizTKEingHAaQMNtJMvFyyhzT8HDmPbt_mhrvO9zwcs7OAWqFC-jcXF7NJQ86Jozukdu_TySG4876b9t20T3_pEUoy</recordid><startdate>20110501</startdate><enddate>20110501</enddate><creator>Yang, Lei</creator><creator>Sander, Pedro V.</creator><creator>Lawrence, Jason</creator><creator>Hoppe, Hugues</creator><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20110501</creationdate><title>Antialiasing recovery</title><author>Yang, Lei ; Sander, Pedro V. ; Lawrence, Jason ; Hoppe, Hugues</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c339t-f122e71f1804b324b1e317379927dff537bb71b90589418e4bb23ed0b044b9f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Adjustment</topic><topic>Algorithms</topic><topic>Damage</topic><topic>Equalization</topic><topic>Image filters</topic><topic>Nonlinearity</topic><topic>Renovating</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yang, Lei</creatorcontrib><creatorcontrib>Sander, Pedro V.</creatorcontrib><creatorcontrib>Lawrence, Jason</creatorcontrib><creatorcontrib>Hoppe, Hugues</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>ACM transactions on graphics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yang, Lei</au><au>Sander, Pedro V.</au><au>Lawrence, Jason</au><au>Hoppe, Hugues</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Antialiasing recovery</atitle><jtitle>ACM transactions on graphics</jtitle><date>2011-05-01</date><risdate>2011</risdate><volume>30</volume><issue>3</issue><spage>1</spage><epage>9</epage><pages>1-9</pages><issn>0730-0301</issn><eissn>1557-7368</eissn><abstract>We present a method for restoring antialiased edges that are damaged by certain types of nonlinear image filters. This problem arises with many common operations such as intensity thresholding, tone mapping, gamma correction, histogram equalization, bilateral filters, unsharp masking, and certain nonphotorealistic filters. We present a simple algorithm that selectively adjusts the local gradients in affected regions of the filtered image so that they are consistent with those in the original image. Our algorithm is highly parallel and is therefore easily implemented on a GPU. Our prototype system can process up to 500 megapixels per second and we present results for a number of different image filters.</abstract><doi>10.1145/1966394.1966401</doi><tpages>9</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0730-0301 |
ispartof | ACM transactions on graphics, 2011-05, Vol.30 (3), p.1-9 |
issn | 0730-0301 1557-7368 |
language | eng |
recordid | cdi_proquest_miscellaneous_901651513 |
source | ACM Digital Library |
subjects | Adjustment Algorithms Damage Equalization Image filters Nonlinearity Renovating |
title | Antialiasing recovery |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-13T19%3A36%3A29IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Antialiasing%20recovery&rft.jtitle=ACM%20transactions%20on%20graphics&rft.au=Yang,%20Lei&rft.date=2011-05-01&rft.volume=30&rft.issue=3&rft.spage=1&rft.epage=9&rft.pages=1-9&rft.issn=0730-0301&rft.eissn=1557-7368&rft_id=info:doi/10.1145/1966394.1966401&rft_dat=%3Cproquest_cross%3E901651513%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=901651513&rft_id=info:pmid/&rfr_iscdi=true |