{"id":"https://openalex.org/W2584554508","doi":"https://doi.org/10.2352/issn.2470-1173.2017.12.iqsp-220","title":"GPGPU based implementation of a high performing No Reference (NR) - IQA algorithm, BLIINDS-II","display_name":"GPGPU based implementation of a high performing No Reference (NR) - IQA algorithm, BLIINDS-II","publication_year":2017,"publication_date":"2017-01-29","ids":{"openalex":"https://openalex.org/W2584554508","doi":"https://doi.org/10.2352/issn.2470-1173.2017.12.iqsp-220","mag":"2584554508"},"language":"en","primary_location":{"id":"doi:10.2352/issn.2470-1173.2017.12.iqsp-220","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2017.12.iqsp-220","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-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/A5061447567","display_name":"Aman Yadav","orcid":null},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Aman Yadav","raw_affiliation_strings":["Arizona State University**"],"affiliations":[{"raw_affiliation_string":"Arizona State University**","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078997550","display_name":"Sohum Sohoni","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sohum Sohoni","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5091097268","display_name":"Damon M. Chandler","orcid":"https://orcid.org/0000-0003-0326-0679"},"institutions":[{"id":"https://openalex.org/I1298590031","display_name":"Shizuoka University","ror":"https://ror.org/01w6wtk13","country_code":"JP","type":"education","lineage":["https://openalex.org/I1298590031"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Damon Chandler","raw_affiliation_strings":["SHIZUOKA University"],"affiliations":[{"raw_affiliation_string":"SHIZUOKA University","institution_ids":["https://openalex.org/I1298590031"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5061447567"],"corresponding_institution_ids":["https://openalex.org/I55732556"],"apc_list":null,"apc_paid":null,"fwci":0.182,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.53789887,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"29","issue":"12","first_page":"21","last_page":"25"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9991000294685364,"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":0.9991000294685364,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9984999895095825,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/computer-science","display_name":"Computer science","score":0.8113656044006348},{"id":"https://openalex.org/keywords/cuda","display_name":"CUDA","score":0.7320317029953003},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6495898962020874},{"id":"https://openalex.org/keywords/general-purpose-computing-on-graphics-processing-units","display_name":"General-purpose computing on graphics processing units","score":0.6398874521255493},{"id":"https://openalex.org/keywords/pci-express","display_name":"PCI Express","score":0.4170001745223999},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.4157068133354187},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.24293193221092224},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.18439918756484985},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.14240244030952454},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.09470784664154053}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8113656044006348},{"id":"https://openalex.org/C2778119891","wikidata":"https://www.wikidata.org/wiki/Q477690","display_name":"CUDA","level":2,"score":0.7320317029953003},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6495898962020874},{"id":"https://openalex.org/C50630238","wikidata":"https://www.wikidata.org/wiki/Q971505","display_name":"General-purpose computing on graphics processing units","level":3,"score":0.6398874521255493},{"id":"https://openalex.org/C64270927","wikidata":"https://www.wikidata.org/wiki/Q206924","display_name":"PCI Express","level":3,"score":0.4170001745223999},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.4157068133354187},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.24293193221092224},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.18439918756484985},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.14240244030952454},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.09470784664154053}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2352/issn.2470-1173.2017.12.iqsp-220","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2017.12.iqsp-220","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1963859303","https://openalex.org/W2364044215","https://openalex.org/W2389600408","https://openalex.org/W240129890","https://openalex.org/W3048701459","https://openalex.org/W3213381848","https://openalex.org/W2149078538","https://openalex.org/W2080146221","https://openalex.org/W2370314112","https://openalex.org/W1912958759"],"abstract_inverted_index":{"A":[0],"relatively":[1],"recent":[2],"thrust":[3],"in":[4,48,60,147,240],"IQA":[5,29,243],"research":[6],"has":[7],"focused":[8],"on":[9,78,174,218],"estimating":[10],"the":[11,20,37,100,115,121,125,129,132,136,151,161,181,198,219,221,225,230],"quality":[12],"of":[13,50,62,99,114,212],"a":[14,57,92,112,164],"distorted":[15],"image":[16,122,186],"without":[17],"access":[18],"to":[19,75,124,163,179,192],"original":[21],"(reference)":[22],"image.":[23],"Algorithms":[24],"for":[25,140,183,200,216,238],"this":[26,87,89],"so-called":[27],"noreference":[28],"(NR":[30],"IQA)":[31],"have":[32],"made":[33],"great":[34],"strides":[35],"over":[36,123],"last":[38],"several":[39],"years,":[40],"with":[41],"some":[42],"NR":[43,65,242],"algorithms":[44,47,66],"rivaling":[45],"full-reference":[46],"terms":[49,61],"prediction":[51],"accuracy.":[52],"However,":[53],"there":[54],"still":[55],"remains":[56],"large":[58],"gap":[59],"runtime":[63,182,226],"performance;":[64],"remain":[67],"significantly":[68],"slower":[69],"than":[70],"FR":[71],"algorithms,":[72],"owing":[73],"largely":[74],"their":[76],"reliance":[77],"natural-scene":[79],"statistics":[80],"and":[81,127,131,158,228],"other":[82,241],"ensemble-based":[83],"computations.":[84],"To":[85],"address":[86],"issue,":[88],"paper":[90],"presents":[91],"GPGPU":[93,231],"implementation,":[94],"using":[95,106,135,154],"NVidia's":[96],"CUDA":[97],"platform,":[98],"popular":[101],"Blind":[102],"Image":[103],"Integrity":[104],"Notator":[105],"DCT":[107,130],"Statistics":[108],"(BLIINDS-II)":[109],"algorithm":[110],"[8],":[111],"state":[113],"art":[116],"NR-IQA":[117],"algorithm.":[118],"We":[119,149,207],"copied":[120],"GPU":[126],"performed":[128],"statistical":[133],"modeling":[134],"GPU.":[137],"These":[138],"operations,":[139],"each":[141,184],"5x5":[142],"pixel":[143],"window,":[144],"are":[145],"executed":[146],"parallel.":[148],"evaluated":[150],"implementation":[152,162,211],"by":[153],"NVidia":[155],"Visual":[156],"Profiler,":[157],"we":[159,176],"compared":[160],"previously":[165],"optimized":[166],"CPU":[167],"C++":[168],"implementation.":[169],"By":[170],"employing":[171],"suitable":[172],"optimizations":[173],"code,":[175],"were":[177],"able":[178],"reduce":[180],"512x512":[185],"from":[187,224],"approximately":[188,193],"270":[189],"ms":[190],"down":[191],"9":[194],"ms,":[195],"which":[196],"includes":[197],"time":[199],"all":[201],"data":[202],"transfers":[203],"across":[204],"PCIe":[205],"bus.":[206],"discuss":[208],"our":[209],"unique":[210],"BLIINDS-II":[213],"designed":[214],"specifically":[215],"use":[217,239],"GPU,":[220],"insights":[222],"gained":[223],"analyses,":[227],"how":[229],"techniques":[232],"developed":[233],"here":[234],"can":[235],"be":[236],"adapted":[237],"algorithms.":[244]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
