{"id":"https://openalex.org/W2971699969","doi":"https://doi.org/10.1145/3351556.3351561","title":"An Experimental Comparative Performance Study of Demosaicing Algorithms on General-purpose GPUs","display_name":"An Experimental Comparative Performance Study of Demosaicing Algorithms on General-purpose GPUs","publication_year":2019,"publication_date":"2019-09-05","ids":{"openalex":"https://openalex.org/W2971699969","doi":"https://doi.org/10.1145/3351556.3351561","mag":"2971699969"},"language":"en","primary_location":{"id":"doi:10.1145/3351556.3351561","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3351556.3351561","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th Balkan Conference on Informatics","raw_type":"proceedings-article"},"type":"conference-paper","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/A5062868460","display_name":"Georgi Zapryanov","orcid":null},"institutions":[{"id":"https://openalex.org/I31151848","display_name":"Technical University of Sofia","ror":"https://ror.org/052prhs50","country_code":"BG","type":"education","lineage":["https://openalex.org/I31151848"]}],"countries":["BG"],"is_corresponding":false,"raw_author_name":"Georgi Zapryanov","raw_affiliation_strings":["Technical University of Sofia, FCST, Department of Computer Systems, Sofia, Bulgaria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Sofia, FCST, Department of Computer Systems, Sofia, Bulgaria","institution_ids":["https://openalex.org/I31151848"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074851425","display_name":"Iva Nikolova","orcid":null},"institutions":[{"id":"https://openalex.org/I31151848","display_name":"Technical University of Sofia","ror":"https://ror.org/052prhs50","country_code":"BG","type":"education","lineage":["https://openalex.org/I31151848"]}],"countries":["BG"],"is_corresponding":false,"raw_author_name":"Iva Nikolova","raw_affiliation_strings":["Technical University of Sofia, FCST, Department of Computer Systems, Sofia, Bulgaria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Sofia, FCST, Department of Computer Systems, Sofia, Bulgaria","institution_ids":["https://openalex.org/I31151848"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I31151848"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09527719,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","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/T10688","display_name":"Image and Signal Denoising Methods","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/T11019","display_name":"Image Enhancement Techniques","score":0.9998000264167786,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9993000030517578,"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/demosaicing","display_name":"Demosaicing","score":0.9786648750305176},{"id":"https://openalex.org/keywords/color-filter-array","display_name":"Color filter array","score":0.7825007438659668},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7443406581878662},{"id":"https://openalex.org/keywords/bayer-filter","display_name":"Bayer filter","score":0.6539770364761353},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6030007600784302},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5685463547706604},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.5306970477104187},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.474774569272995},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4489143490791321},{"id":"https://openalex.org/keywords/cuda","display_name":"CUDA","score":0.4403040409088135},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4305915832519531},{"id":"https://openalex.org/keywords/image-sensor","display_name":"Image sensor","score":0.4258945882320404},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.41764140129089355},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.38268429040908813},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3382878303527832},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.21704047918319702},{"id":"https://openalex.org/keywords/color-gel","display_name":"Color gel","score":0.20832058787345886},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.07802703976631165}],"concepts":[{"id":"https://openalex.org/C27624317","wikidata":"https://www.wikidata.org/wiki/Q263499","display_name":"Demosaicing","level":5,"score":0.9786648750305176},{"id":"https://openalex.org/C177299597","wikidata":"https://www.wikidata.org/wiki/Q2468214","display_name":"Color filter array","level":5,"score":0.7825007438659668},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7443406581878662},{"id":"https://openalex.org/C5622133","wikidata":"https://www.wikidata.org/wiki/Q812133","display_name":"Bayer filter","level":5,"score":0.6539770364761353},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6030007600784302},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5685463547706604},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.5306970477104187},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.474774569272995},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4489143490791321},{"id":"https://openalex.org/C2778119891","wikidata":"https://www.wikidata.org/wiki/Q477690","display_name":"CUDA","level":2,"score":0.4403040409088135},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4305915832519531},{"id":"https://openalex.org/C76935873","wikidata":"https://www.wikidata.org/wiki/Q209121","display_name":"Image sensor","level":2,"score":0.4258945882320404},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.41764140129089355},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.38268429040908813},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3382878303527832},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.21704047918319702},{"id":"https://openalex.org/C142771000","wikidata":"https://www.wikidata.org/wiki/Q1435398","display_name":"Color gel","level":4,"score":0.20832058787345886},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.07802703976631165},{"id":"https://openalex.org/C87359718","wikidata":"https://www.wikidata.org/wiki/Q1271916","display_name":"Thin-film transistor","level":3,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3351556.3351561","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3351556.3351561","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th Balkan Conference on Informatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5199999809265137,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2027966989","https://openalex.org/W2080518303","https://openalex.org/W2082136663","https://openalex.org/W2105156560","https://openalex.org/W2151502878","https://openalex.org/W2155750531","https://openalex.org/W2398343253","https://openalex.org/W2567830123","https://openalex.org/W2908016383","https://openalex.org/W2920906058"],"related_works":["https://openalex.org/W2197110145","https://openalex.org/W4385003273","https://openalex.org/W4390872244","https://openalex.org/W2040065950","https://openalex.org/W1574099457","https://openalex.org/W2187346426","https://openalex.org/W2089632803","https://openalex.org/W2036531120","https://openalex.org/W2348212123","https://openalex.org/W2092661809"],"abstract_inverted_index":{"The":[0,23,37,52,120,138,156,179],"image":[1,34,50,113,217],"registration":[2],"by":[3,62,163],"digital":[4],"still":[5],"cameras":[6,9],"and":[7,92,104,109,147,161,205],"video":[8,207],"requires":[10],"color":[11,39,46],"filters":[12,24],"to":[13,126,202],"be":[14],"posed":[15],"onto":[16],"the":[17,30,33,56,72,85,183,187,193,215],"photosensitive":[18],"sensors":[19],"(CCD":[20],"or":[21,68],"CMOS).":[22],"are":[25,60,89,154],"arranged":[26],"in":[27,55,150,190],"patterns":[28],"across":[29],"face":[31],"of":[32,71,84,122,132,141,144,169,185,214],"sensing":[35],"array.":[36],"conventional":[38],"filter":[40],"array":[41],"(CFA)":[42],"capture":[43],"only":[44],"one":[45],"component":[47],"at":[48],"each":[49],"pixel.":[51],"missing":[53],"colors":[54],"raw":[57],"sensor":[58],"data":[59],"interpolated":[61],"a":[63,117,128,167],"process":[64,75,115],"called":[65],"CFA":[66,152],"interpolation":[67],"demosaicing.":[69],"Quality":[70],"full-color":[73,216],"reconstruction":[74,114],"is":[76,116,125,159],"mostly":[77],"relied":[78],"on":[79,135,166,174],"demosaicing":[80,87,107,133,194],"method":[81],"applied.":[82],"Most":[83],"current":[86],"methods":[88],"computationally":[90],"expensive":[91],"often":[93,111],"too":[94],"slow":[95,112],"for":[96,197],"real-time":[97,103,204],"scenarios.":[98],"Many":[99],"industrial":[100],"applications":[101,199],"require":[102],"high":[105,212],"quality":[106,213],"solutions,":[108],"quite":[110],"real":[118,170],"bottleneck.":[119],"purpose":[121],"this":[123],"research":[124],"present":[127],"comparative":[129],"performance":[130,157],"study":[131],"algorithms":[134,153],"general-purpose":[136,176],"GPUs.":[137],"experimental":[139,164],"results":[140,181],"CUDA-based":[142],"implementations":[143],"two":[145,175],"state-of-the-art":[146],"widely":[148],"applied":[149],"practice":[151],"presented.":[155],"efficiency":[158],"assessed":[160],"analyzed":[162],"studies":[165],"set":[168],"photographic":[171],"test":[172],"images":[173],"graphic":[177],"cards.":[178],"obtained":[180],"demonstrated":[182],"benefit":[184],"exploiting":[186],"contemporary":[188],"GPUs":[189],"speeding":[191],"up":[192],"process,":[195],"especially":[196],"practical":[198],"that":[200],"need":[201],"meet":[203],"high-speed":[206],"processing":[208],"requirements":[209],"combined":[210],"with":[211],"reconstruction.":[218]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}