{"id":"https://openalex.org/W7161297821","doi":"https://doi.org/10.48550/arxiv.2605.14847","title":"SR-Prominence: A Crowdsourced Protocol and Dataset Suite for Perceptually-Weighted Super-Resolution Artifact Evaluation","display_name":"SR-Prominence: A Crowdsourced Protocol and Dataset Suite for Perceptually-Weighted Super-Resolution Artifact Evaluation","publication_year":2026,"publication_date":"2026-05-14","ids":{"openalex":"https://openalex.org/W7161297821","doi":"https://doi.org/10.48550/arxiv.2605.14847"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.14847","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.14847","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.14847","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5136261747","display_name":"Ivan Molodetskikh","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Molodetskikh, Ivan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136261671","display_name":"Kirill Malyshev","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Malyshev, Kirill","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114657258","display_name":"Mark Mirgaleev","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mirgaleev, Mark","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120279851","display_name":"Nikita Zagainov","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zagainov, Nikita","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132716134","display_name":"Evgeney Bogatyrev","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bogatyrev, Evgeney","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5136189783","display_name":"Dmitriy Vatolin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vatolin, Dmitriy","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.6421999931335449,"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":0.6421999931335449,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.28029999136924744,"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":0.014000000432133675,"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/artifact","display_name":"Artifact (error)","score":0.902999997138977},{"id":"https://openalex.org/keywords/suite","display_name":"Suite","score":0.8246999979019165},{"id":"https://openalex.org/keywords/protocol","display_name":"Protocol (science)","score":0.6161999702453613},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.4706000089645386},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.4244000017642975},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.4226999878883362},{"id":"https://openalex.org/keywords/software-suite","display_name":"Software suite","score":0.3865000009536743},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.36230000853538513}],"concepts":[{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.902999997138977},{"id":"https://openalex.org/C79581498","wikidata":"https://www.wikidata.org/wiki/Q1367530","display_name":"Suite","level":2,"score":0.8246999979019165},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7781999707221985},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.6161999702453613},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5796999931335449},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.4706000089645386},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.4244000017642975},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.4226999878883362},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3935999870300293},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.38920000195503235},{"id":"https://openalex.org/C2778736646","wikidata":"https://www.wikidata.org/wiki/Q1143070","display_name":"Software suite","level":3,"score":0.3865000009536743},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.36230000853538513},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.3560999929904938},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33329999446868896},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32249999046325684},{"id":"https://openalex.org/C199521495","wikidata":"https://www.wikidata.org/wiki/Q181487","display_name":"Audit","level":2,"score":0.32179999351501465},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.3179999887943268},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.30149999260902405},{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.29420000314712524},{"id":"https://openalex.org/C149629883","wikidata":"https://www.wikidata.org/wiki/Q660926","display_name":"Fraction (chemistry)","level":2,"score":0.2915000021457672},{"id":"https://openalex.org/C168820333","wikidata":"https://www.wikidata.org/wiki/Q448889","display_name":"Visual inspection","level":2,"score":0.28299999237060547},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2705000042915344},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.2630000114440918}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.14847","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.14847","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.14847","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.14847","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.8255125284194946,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Modern":[0],"image":[1],"super-resolution":[2],"methods":[3,41,149],"generate":[4],"detailed,":[5],"visually":[6],"appealing":[7],"results,":[8],"but":[9],"they":[10],"often":[11,154],"introduce":[12],"visual":[13],"artifacts:":[14],"unnatural":[15],"patterns":[16],"and":[17,75,90,127,138,150,160,187],"texture":[18],"distortions":[19],"that":[20,102,132,171],"degrade":[21],"perceived":[22],"quality.":[23],"These":[24],"defects":[25],"vary":[26],"widely":[27],"in":[28],"perceptual":[29,200],"impact--some":[30],"are":[31,36,109],"barely":[32],"noticeable,":[33],"while":[34],"others":[35],"highly":[37],"disturbing--yet":[38],"existing":[39],"detection":[40],"treat":[42],"them":[43],"equally.":[44],"We":[45,69,130],"propose":[46],"artifact":[47,83,123,152,191],"prominence":[48,144],"as":[49,54],"an":[50,167],"evaluative":[51],"target,":[52],"defined":[53],"the":[55,118,185],"fraction":[56],"of":[57,104,115],"viewers":[58],"who":[59],"judge":[60],"a":[61,66,71,78,91,113],"highlighted":[62],"region":[63],"to":[64,156,175,193],"contain":[65],"noticeable":[67],"artifact.":[68],"design":[70],"crowdsourced":[72],"annotation":[73],"protocol":[74,170],"construct":[76],"SR-Prominence,":[77],"dataset":[79],"suite":[80,180],"containing":[81],"3,935":[82],"masks":[84],"from":[85,195],"DeSRA,":[86],"Open":[87],"Images,":[88],"Urban100,":[89],"realistic":[92],"no-ground-truth":[93],"Urban100-HR":[94],"setting,":[95],"annotated":[96],"with":[97,166],"prominence.":[98],"Re-annotating":[99],"DeSRA":[100],"reveals":[101],"48.2%":[103],"its":[105],"in-lab":[106],"binary":[107,196],"artifacts":[108],"not":[110],"noticed":[111],"by":[112],"majority":[114],"viewers.":[116],"Across":[117],"suite,":[119],"we":[120],"audit":[121],"SR":[122,128,190],"detectors,":[124],"image-quality":[125],"metrics,":[126,135],"methods.":[129],"find":[131],"classical":[133],"full-reference":[134],"especially":[136],"SSIM":[137],"DISTS,":[139],"provide":[140],"surprisingly":[141],"strong":[142],"localized":[143],"signals,":[145],"whereas":[146],"no-reference":[147],"IQA":[148],"specialized":[151],"detectors":[153],"fail":[155],"generalize":[157],"across":[158],"datasets":[159],"reference":[161],"settings.":[162],"SR-Prominence":[163,202],"is":[164,203],"released":[165],"objective":[168],"scoring":[169],"allows":[172],"new":[173],"metrics":[174],"be":[176],"benchmarked":[177],"on":[178],"our":[179],"without":[181],"further":[182],"crowdsourcing.":[183],"Together,":[184],"data":[186],"protocols":[188],"enable":[189],"evaluation":[192],"move":[194],"defect":[197],"presence":[198],"toward":[199],"impact.":[201],"available":[204],"at":[205],"https://huggingface.co/datasets/imolodetskikh/sr-artifact-prominence.":[206]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-16T00:00:00"}
