{"id":"https://openalex.org/W2113784370","doi":"https://doi.org/10.1109/icme.2003.1220864","title":"Image interpolation using wavelet-based contour estimation","display_name":"Image interpolation using wavelet-based contour estimation","publication_year":2003,"publication_date":"2003-01-01","ids":{"openalex":"https://openalex.org/W2113784370","doi":"https://doi.org/10.1109/icme.2003.1220864","mag":"2113784370"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2003.1220864","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2003.1220864","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5004267367","display_name":"Hasan F. Ate\u015f","orcid":"https://orcid.org/0000-0002-6842-1528"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"H.F. Ates","raw_affiliation_strings":["Department of Electrical Engineering, Princeton University, Princeton, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Princeton University, Princeton, NJ, USA","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078566820","display_name":"M.T. Orchard","orcid":null},"institutions":[{"id":"https://openalex.org/I74775410","display_name":"Rice University","ror":"https://ror.org/008zs3103","country_code":"US","type":"education","lineage":["https://openalex.org/I74775410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M.T. Orchard","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Rice University, Houston, TX, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Rice University, Houston, TX, USA","institution_ids":["https://openalex.org/I74775410"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5004267367"],"corresponding_institution_ids":["https://openalex.org/I20089843"],"apc_list":null,"apc_paid":null,"fwci":0.5384,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.68947331,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"10","issue":null,"first_page":"I","last_page":"101"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/bilinear-interpolation","display_name":"Bilinear interpolation","score":0.9077214002609253},{"id":"https://openalex.org/keywords/subpixel-rendering","display_name":"Subpixel rendering","score":0.7738116383552551},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.7411335110664368},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6093763709068298},{"id":"https://openalex.org/keywords/stairstep-interpolation","display_name":"Stairstep interpolation","score":0.6071823835372925},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6031070947647095},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5753079652786255},{"id":"https://openalex.org/keywords/image-scaling","display_name":"Image scaling","score":0.5706661939620972},{"id":"https://openalex.org/keywords/bicubic-interpolation","display_name":"Bicubic interpolation","score":0.5228798389434814},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.5219668745994568},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5076910257339478},{"id":"https://openalex.org/keywords/nearest-neighbor-interpolation","display_name":"Nearest-neighbor interpolation","score":0.4862888753414154},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4829387068748474},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4761628806591034},{"id":"https://openalex.org/keywords/smoothness","display_name":"Smoothness","score":0.44338929653167725},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4154960513114929},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.40454721450805664},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3981509208679199},{"id":"https://openalex.org/keywords/multivariate-interpolation","display_name":"Multivariate interpolation","score":0.3873499035835266},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.35622990131378174},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.29880356788635254},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.06211197376251221}],"concepts":[{"id":"https://openalex.org/C205203396","wikidata":"https://www.wikidata.org/wiki/Q612143","display_name":"Bilinear interpolation","level":2,"score":0.9077214002609253},{"id":"https://openalex.org/C68516990","wikidata":"https://www.wikidata.org/wiki/Q452912","display_name":"Subpixel rendering","level":3,"score":0.7738116383552551},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.7411335110664368},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6093763709068298},{"id":"https://openalex.org/C119768884","wikidata":"https://www.wikidata.org/wiki/Q7597108","display_name":"Stairstep interpolation","level":4,"score":0.6071823835372925},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6031070947647095},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5753079652786255},{"id":"https://openalex.org/C27405340","wikidata":"https://www.wikidata.org/wiki/Q440296","display_name":"Image scaling","level":4,"score":0.5706661939620972},{"id":"https://openalex.org/C49608258","wikidata":"https://www.wikidata.org/wiki/Q611705","display_name":"Bicubic interpolation","level":4,"score":0.5228798389434814},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.5219668745994568},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5076910257339478},{"id":"https://openalex.org/C207214200","wikidata":"https://www.wikidata.org/wiki/Q4202129","display_name":"Nearest-neighbor interpolation","level":4,"score":0.4862888753414154},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4829387068748474},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4761628806591034},{"id":"https://openalex.org/C102634674","wikidata":"https://www.wikidata.org/wiki/Q868473","display_name":"Smoothness","level":2,"score":0.44338929653167725},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4154960513114929},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40454721450805664},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3981509208679199},{"id":"https://openalex.org/C203332170","wikidata":"https://www.wikidata.org/wiki/Q6334079","display_name":"Multivariate interpolation","level":3,"score":0.3873499035835266},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.35622990131378174},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.29880356788635254},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.06211197376251221}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icme.2003.1220864","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2003.1220864","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.717.8871","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.717.8871","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www2.isikun.edu.tr/personel/hfates/Hasan_files/Career/ates.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1903656841","https://openalex.org/W1910615622","https://openalex.org/W1967441049","https://openalex.org/W1993392281","https://openalex.org/W2100115174","https://openalex.org/W2115176813","https://openalex.org/W2116337048","https://openalex.org/W2119932671","https://openalex.org/W2172128189","https://openalex.org/W4212783130","https://openalex.org/W6642029968"],"related_works":["https://openalex.org/W2352808182","https://openalex.org/W2553003891","https://openalex.org/W2062947881","https://openalex.org/W2359865259","https://openalex.org/W2036543038","https://openalex.org/W2355602298","https://openalex.org/W2125860982","https://openalex.org/W2356755329","https://openalex.org/W2912021003","https://openalex.org/W2360673347"],"abstract_inverted_index":{"Successful":[0],"image":[1,11,60],"interpolation":[2],"requires":[3],"proper":[4],"enhancement":[5],"of":[6,10,120],"high":[7,26],"frequency":[8],"content":[9],"pixels":[12],"around":[13,35],"edges.":[14],"In":[15],"this":[16],"paper,":[17],"we":[18],"introduce":[19],"a":[20,93],"simple":[21],"edge":[22,28,47,53,68,122],"model":[23],"to":[24,50,100,112],"estimate":[25],"resolution":[27,32],"profiles":[29,48],"from":[30,42],"lower":[31],"values.":[33],"Pixels":[34],"edges":[36,102],"are":[37,70,110],"viewed":[38],"as":[39],"samples":[40],"taken":[41],"one":[43],"dimensional":[44],"(1-D)":[45],"continuous":[46],"according":[49],"1-D":[51],"smooth":[52],"contours":[54],"defining":[55],"the":[56,74,78,87],"sampling":[57],"instants.":[58],"The":[59,108],"is":[61,82,127],"highpass":[62],"filtered":[63],"by":[64,72,85],"wavelets":[65],"and":[66,115,124],"subpixel":[67],"locations":[69],"estimated":[71],"minimizing":[73],"modeling":[75],"error":[76],"in":[77,98,118],"wavelet":[79],"domain.":[80],"Interpolation":[81],"carried":[83],"out":[84],"applying":[86],"model,":[88],"wherever":[89],"applicable,":[90],"together":[91],"with":[92],"baseline":[94],"interpolator":[95],"(here,":[96],"bilinear)":[97],"order":[99],"make":[101],"look":[103],"sharper":[104],"without":[105],"introducing":[106],"artifacts.":[107],"results":[109],"compared":[111],"bilinear":[113],"interpolation,":[114],"significant":[116],"improvement":[117],"terms":[119],"SNR,":[121],"sharpness":[123],"contour":[125],"smoothness":[126],"observed.":[128]},"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
