Antialiasing by Gaussian integration
The antialiasing method presented is based on Gaussian integration rather than Fourier spectrum analysis; it views aliasing as a general integral approximating a sampled function instead of a signal reconstruction problem. In this way, we can use classical numerical analysis to study the problem.
Gespeichert in:
| Veröffentlicht in: | IEEE computer graphics and applications 1996-05, Vol.16 (3), p.58-63 |
|---|---|
| Hauptverfasser: | , , |
| Format: | Magazinearticle |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 63 |
|---|---|
| container_issue | 3 |
| container_start_page | 58 |
| container_title | IEEE computer graphics and applications |
| container_volume | 16 |
| creator | Ning Liu Houzhi Jin Rockwood, A.P. |
| description | The antialiasing method presented is based on Gaussian integration rather than Fourier spectrum analysis; it views aliasing as a general integral approximating a sampled function instead of a signal reconstruction problem. In this way, we can use classical numerical analysis to study the problem. |
| doi_str_mv | 10.1109/38.491186 |
| format | Magazinearticle |
| fullrecord | <record><control><sourceid>proquest_RIE</sourceid><recordid>TN_cdi_crossref_primary_10_1109_38_491186</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>491186</ieee_id><sourcerecordid>26276700</sourcerecordid><originalsourceid>FETCH-LOGICAL-c337t-4ac7374eb18f6633d822d8541ade744c53bbc84b2d951e66e3af554ba13c2e663</originalsourceid><addsrcrecordid>eNqFkD1PwzAQhi0EEqUwsDJ1qJAYUnz-zlhVUJAqscBsXRynMkqdYqdD_z2pUrEy3Z3e557hJeQe6AKAls_cLEQJYNQFmYCUpgAt1SWZUKbZsIO6Jjc5f1NKpQQ6IfNl7AO2AXOI21l1nK3xkHPAOAux99uEfejiLblqsM3-7jyn5Ov15XP1Vmw-1u-r5aZwnOu-EOg018JXYBqlOK8NY7WRArD2WggneVU5IypWlxK8Up5jI6WoELhjw82n5HH07lP3c_C5t7uQnW9bjL47ZMuMAa41-x9UTCtN6QA-jaBLXc7JN3afwg7T0QK1p8IsN3YsbGDnZylmh22TMLqQ_x44NVyXJ-XDiAXv_V96dvwCgx1wcA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>magazinearticle</recordtype><pqid>26276700</pqid></control><display><type>magazinearticle</type><title>Antialiasing by Gaussian integration</title><source>IEEE Electronic Library (IEL)</source><creator>Ning Liu ; Houzhi Jin ; Rockwood, A.P.</creator><creatorcontrib>Ning Liu ; Houzhi Jin ; Rockwood, A.P.</creatorcontrib><description>The antialiasing method presented is based on Gaussian integration rather than Fourier spectrum analysis; it views aliasing as a general integral approximating a sampled function instead of a signal reconstruction problem. In this way, we can use classical numerical analysis to study the problem.</description><identifier>ISSN: 0272-1716</identifier><identifier>EISSN: 1558-1756</identifier><identifier>DOI: 10.1109/38.491186</identifier><identifier>CODEN: ICGADZ</identifier><language>eng</language><publisher>New York, NY: IEEE</publisher><subject>Algorithm design and analysis ; Applied sciences ; Artificial intelligence ; Computer science; control theory; systems ; Electron beams ; Exact sciences and technology ; Filters ; Fourier transforms ; Frequency domain analysis ; Hardware ; Image reconstruction ; Image sampling ; Pattern recognition. Digital image processing. Computational geometry ; Phosphors ; Wave functions</subject><ispartof>IEEE computer graphics and applications, 1996-05, Vol.16 (3), p.58-63</ispartof><rights>1996 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c337t-4ac7374eb18f6633d822d8541ade744c53bbc84b2d951e66e3af554ba13c2e663</citedby><cites>FETCH-LOGICAL-c337t-4ac7374eb18f6633d822d8541ade744c53bbc84b2d951e66e3af554ba13c2e663</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/491186$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>780,784,796,27925,54758</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/491186$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=3083790$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Ning Liu</creatorcontrib><creatorcontrib>Houzhi Jin</creatorcontrib><creatorcontrib>Rockwood, A.P.</creatorcontrib><title>Antialiasing by Gaussian integration</title><title>IEEE computer graphics and applications</title><addtitle>CG-M</addtitle><description>The antialiasing method presented is based on Gaussian integration rather than Fourier spectrum analysis; it views aliasing as a general integral approximating a sampled function instead of a signal reconstruction problem. In this way, we can use classical numerical analysis to study the problem.</description><subject>Algorithm design and analysis</subject><subject>Applied sciences</subject><subject>Artificial intelligence</subject><subject>Computer science; control theory; systems</subject><subject>Electron beams</subject><subject>Exact sciences and technology</subject><subject>Filters</subject><subject>Fourier transforms</subject><subject>Frequency domain analysis</subject><subject>Hardware</subject><subject>Image reconstruction</subject><subject>Image sampling</subject><subject>Pattern recognition. Digital image processing. Computational geometry</subject><subject>Phosphors</subject><subject>Wave functions</subject><issn>0272-1716</issn><issn>1558-1756</issn><fulltext>true</fulltext><rsrctype>magazinearticle</rsrctype><creationdate>1996</creationdate><recordtype>magazinearticle</recordtype><recordid>eNqFkD1PwzAQhi0EEqUwsDJ1qJAYUnz-zlhVUJAqscBsXRynMkqdYqdD_z2pUrEy3Z3e557hJeQe6AKAls_cLEQJYNQFmYCUpgAt1SWZUKbZsIO6Jjc5f1NKpQQ6IfNl7AO2AXOI21l1nK3xkHPAOAux99uEfejiLblqsM3-7jyn5Ov15XP1Vmw-1u-r5aZwnOu-EOg018JXYBqlOK8NY7WRArD2WggneVU5IypWlxK8Up5jI6WoELhjw82n5HH07lP3c_C5t7uQnW9bjL47ZMuMAa41-x9UTCtN6QA-jaBLXc7JN3afwg7T0QK1p8IsN3YsbGDnZylmh22TMLqQ_x44NVyXJ-XDiAXv_V96dvwCgx1wcA</recordid><startdate>19960501</startdate><enddate>19960501</enddate><creator>Ning Liu</creator><creator>Houzhi Jin</creator><creator>Rockwood, A.P.</creator><general>IEEE</general><general>IEEE Computer Society</general><scope>IQODW</scope><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>19960501</creationdate><title>Antialiasing by Gaussian integration</title><author>Ning Liu ; Houzhi Jin ; Rockwood, A.P.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c337t-4ac7374eb18f6633d822d8541ade744c53bbc84b2d951e66e3af554ba13c2e663</frbrgroupid><rsrctype>magazinearticle</rsrctype><prefilter>magazinearticle</prefilter><language>eng</language><creationdate>1996</creationdate><topic>Algorithm design and analysis</topic><topic>Applied sciences</topic><topic>Artificial intelligence</topic><topic>Computer science; control theory; systems</topic><topic>Electron beams</topic><topic>Exact sciences and technology</topic><topic>Filters</topic><topic>Fourier transforms</topic><topic>Frequency domain analysis</topic><topic>Hardware</topic><topic>Image reconstruction</topic><topic>Image sampling</topic><topic>Pattern recognition. Digital image processing. Computational geometry</topic><topic>Phosphors</topic><topic>Wave functions</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ning Liu</creatorcontrib><creatorcontrib>Houzhi Jin</creatorcontrib><creatorcontrib>Rockwood, A.P.</creatorcontrib><collection>Pascal-Francis</collection><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>IEEE computer graphics and applications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Ning Liu</au><au>Houzhi Jin</au><au>Rockwood, A.P.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Antialiasing by Gaussian integration</atitle><jtitle>IEEE computer graphics and applications</jtitle><stitle>CG-M</stitle><date>1996-05-01</date><risdate>1996</risdate><volume>16</volume><issue>3</issue><spage>58</spage><epage>63</epage><pages>58-63</pages><issn>0272-1716</issn><eissn>1558-1756</eissn><coden>ICGADZ</coden><abstract>The antialiasing method presented is based on Gaussian integration rather than Fourier spectrum analysis; it views aliasing as a general integral approximating a sampled function instead of a signal reconstruction problem. In this way, we can use classical numerical analysis to study the problem.</abstract><cop>New York, NY</cop><pub>IEEE</pub><doi>10.1109/38.491186</doi><tpages>6</tpages></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISSN: 0272-1716 |
| ispartof | IEEE computer graphics and applications, 1996-05, Vol.16 (3), p.58-63 |
| issn | 0272-1716 1558-1756 |
| language | eng |
| recordid | cdi_crossref_primary_10_1109_38_491186 |
| source | IEEE Electronic Library (IEL) |
| subjects | Algorithm design and analysis Applied sciences Artificial intelligence Computer science control theory systems Electron beams Exact sciences and technology Filters Fourier transforms Frequency domain analysis Hardware Image reconstruction Image sampling Pattern recognition. Digital image processing. Computational geometry Phosphors Wave functions |
| title | Antialiasing by Gaussian integration |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-26T10%3A19%3A23IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_RIE&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Antialiasing%20by%20Gaussian%20integration&rft.jtitle=IEEE%20computer%20graphics%20and%20applications&rft.au=Ning%20Liu&rft.date=1996-05-01&rft.volume=16&rft.issue=3&rft.spage=58&rft.epage=63&rft.pages=58-63&rft.issn=0272-1716&rft.eissn=1558-1756&rft.coden=ICGADZ&rft_id=info:doi/10.1109/38.491186&rft_dat=%3Cproquest_RIE%3E26276700%3C/proquest_RIE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=26276700&rft_id=info:pmid/&rft_ieee_id=491186&rfr_iscdi=true |