{"id":"https://openalex.org/W2007178551","doi":"https://doi.org/10.1117/12.2005955","title":"An edge directed super resolution technique for multimedia applications","display_name":"An edge directed super resolution technique for multimedia applications","publication_year":2013,"publication_date":"2013-03-19","ids":{"openalex":"https://openalex.org/W2007178551","doi":"https://doi.org/10.1117/12.2005955","mag":"2007178551"},"language":"en","primary_location":{"id":"doi:10.1117/12.2005955","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2005955","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","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/A5007846616","display_name":"Osborn de Lima","orcid":null},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Osborn de Lima","raw_affiliation_strings":["Rochester Institute of Technology (United States)","Rochester Institute of Technology, United States#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology (United States)","institution_ids":["https://openalex.org/I155173764"]},{"raw_affiliation_string":"Rochester Institute of Technology, United States#TAB#","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049578996","display_name":"Sreenath Rao Vantaram","orcid":null},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sreenath R. Vantaram","raw_affiliation_strings":["Rochester Institute of Technology (United States)","Rochester Institute of Technology, United States#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology (United States)","institution_ids":["https://openalex.org/I155173764"]},{"raw_affiliation_string":"Rochester Institute of Technology, United States#TAB#","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004355376","display_name":"Sankaranarayanan Piramanayagam","orcid":null},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sankaranarayanan Piramanayagam","raw_affiliation_strings":["Rochester Institute of Technology (United States)","Rochester Institute of Technology, United States#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology (United States)","institution_ids":["https://openalex.org/I155173764"]},{"raw_affiliation_string":"Rochester Institute of Technology, United States#TAB#","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110980789","display_name":"Eli Saber","orcid":"https://orcid.org/0009-0002-8593-4015"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Eli Saber","raw_affiliation_strings":["Rochester Institute of Technology (United States)","Rochester Institute of Technology, United States#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology (United States)","institution_ids":["https://openalex.org/I155173764"]},{"raw_affiliation_string":"Rochester Institute of Technology, United States#TAB#","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068785851","display_name":"Kurt R. Bengtson","orcid":null},"institutions":[{"id":"https://openalex.org/I1324840837","display_name":"Hewlett-Packard (United States)","ror":"https://ror.org/059rn9488","country_code":"US","type":"company","lineage":["https://openalex.org/I1324840837"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kurt R. Bengtson","raw_affiliation_strings":["Hewlett-Packard Co. (United States)","Hewlett Packard Co. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hewlett-Packard Co. (United States)","institution_ids":["https://openalex.org/I1324840837"]},{"raw_affiliation_string":"Hewlett Packard Co. (United States)","institution_ids":["https://openalex.org/I1324840837"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2763,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.58767519,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"8663","issue":null,"first_page":"86630F","last_page":"86630F"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":1.0,"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":1.0,"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":0.9980999827384949,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9969000220298767,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/grayscale","display_name":"Grayscale","score":0.7870941758155823},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6955364346504211},{"id":"https://openalex.org/keywords/bicubic-interpolation","display_name":"Bicubic interpolation","score":0.6904650926589966},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6444945335388184},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.6126039028167725},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6124570369720459},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5567238926887512},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5345783233642578},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5232160091400146},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4789429306983948},{"id":"https://openalex.org/keywords/upsampling","display_name":"Upsampling","score":0.4653022885322571},{"id":"https://openalex.org/keywords/bilinear-interpolation","display_name":"Bilinear interpolation","score":0.4269799590110779},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.4166545569896698},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3230104446411133},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2715492844581604},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2505291998386383},{"id":"https://openalex.org/keywords/multivariate-interpolation","display_name":"Multivariate interpolation","score":0.16071614623069763}],"concepts":[{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.7870941758155823},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6955364346504211},{"id":"https://openalex.org/C49608258","wikidata":"https://www.wikidata.org/wiki/Q611705","display_name":"Bicubic interpolation","level":4,"score":0.6904650926589966},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6444945335388184},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.6126039028167725},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6124570369720459},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5567238926887512},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5345783233642578},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5232160091400146},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4789429306983948},{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.4653022885322571},{"id":"https://openalex.org/C205203396","wikidata":"https://www.wikidata.org/wiki/Q612143","display_name":"Bilinear interpolation","level":2,"score":0.4269799590110779},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.4166545569896698},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3230104446411133},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2715492844581604},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2505291998386383},{"id":"https://openalex.org/C203332170","wikidata":"https://www.wikidata.org/wiki/Q6334079","display_name":"Multivariate interpolation","level":3,"score":0.16071614623069763},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2005955","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2005955","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1905329822","https://openalex.org/W2014264053","https://openalex.org/W2067042811","https://openalex.org/W2081321639","https://openalex.org/W2087380704","https://openalex.org/W2129261766","https://openalex.org/W2133665775","https://openalex.org/W2158111076","https://openalex.org/W2170573007","https://openalex.org/W2172128189"],"related_works":["https://openalex.org/W1989382313","https://openalex.org/W2117172213","https://openalex.org/W2124100693","https://openalex.org/W2355602298","https://openalex.org/W2391781224","https://openalex.org/W3202223591","https://openalex.org/W2167677561","https://openalex.org/W3158506795","https://openalex.org/W2553003891","https://openalex.org/W2352808182"],"abstract_inverted_index":{"In":[0,134],"this":[1,39,66],"paper,":[2],"we":[3],"present":[4],"an":[5,87],"Edge":[6],"Directed":[7],"Super":[8],"Resolution":[9],"(EDSR)":[10],"technique":[11],"for":[12],"grayscale":[13,194],"and":[14,47,69,174,195,198],"color":[15,138,155,170,196],"images.":[16],"The":[17,35,100,168,188],"proposed":[18],"algorithm":[19,25,40,145,189],"is":[20,41,94,146,163],"a":[21,110,116,179,183,203],"multiple":[22,105],"pass":[23],"iterative":[24],"aimed":[26],"at":[27],"producing":[28],"better":[29],"defined":[30],"images":[31,107,197],"with":[32],"sharper":[33],"edges.":[34],"basic":[36],"premise":[37],"behind":[38],"interpolating":[42],"along":[43],"the":[44,60,74,80,104,128,132,135,140,149,153,160],"edge":[45,61,88,141,161],"direction":[46,89],"thus":[48],"reducing":[49],"blur":[50],"that":[51,166],"comes":[52],"from":[53,73,209],"traditional":[54],"interpolation":[55,186],"techniques":[56],"which":[57,91],"operate":[58],"across":[59],"in":[62,92,152,165],"some":[63],"instances.":[64],"To":[65],"effect,":[67],"horizontal":[68],"vertical":[70],"gradients":[71],"derived":[72],"input":[75,106],"reference":[76],"image":[77],"resized":[78,177],"to":[79,85,114,148,178,193,211,213],"target":[81],"resolution,":[82],"are":[83,176],"utilized":[84],"generate":[86],"map,":[90],"turn":[93],"quantized":[95],"into":[96],"four":[97],"discrete":[98],"directions.":[99],"process":[101],"then":[102],"utilizes":[103],"shifted":[108],"by":[109],"sub":[111],"pixel":[112],"amount":[113],"yield":[115],"single":[117],"higher":[118,180],"resolution":[119,144,181],"image.":[120],"A":[121],"cross":[122],"correlation":[123],"based":[124],"registration":[125],"approach":[126],"determines":[127],"relative":[129],"shifts":[130],"between":[131],"frames.":[133],"case":[136],"of":[137,159,206],"images,":[139],"directed":[142],"super":[143],"applied":[147,192],"L":[150],"channel":[151],"L*a*b*":[154],"space,":[156],"since":[157],"most":[158],"information":[162],"concentrated":[164],"channel.":[167],"two":[169],"difference":[171],"channels":[172],"a*":[173],"b*":[175],"using":[182],"conventional":[184],"bicubic":[185],"approach.":[187],"developed":[190],"was":[191],"showed":[199],"favorable":[200],"results":[201],"on":[202],"wide":[204],"variety":[205],"datasets":[207],"ranging":[208],"printing":[210],"surveillance,":[212],"regular":[214],"consumer":[215],"photography.":[216]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}