{"id":"https://openalex.org/W7140478662","doi":"https://doi.org/10.1109/ieeeconf67917.2025.11443808","title":"A Self-Validation Metric for Referenceless Image Quality Assessment of Computational Imaging Algorithms","display_name":"A Self-Validation Metric for Referenceless Image Quality Assessment of Computational Imaging Algorithms","publication_year":2025,"publication_date":"2025-10-26","ids":{"openalex":"https://openalex.org/W7140478662","doi":"https://doi.org/10.1109/ieeeconf67917.2025.11443808"},"language":null,"primary_location":{"id":"doi:10.1109/ieeeconf67917.2025.11443808","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf67917.2025.11443808","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 59th Asilomar Conference on Signals, Systems, and Computers","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/A5130650800","display_name":"Pranav Salapaka","orcid":null},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]},{"id":"https://openalex.org/I2800403580","display_name":"University of Minnesota System","ror":"https://ror.org/03grvy078","country_code":"US","type":"education","lineage":["https://openalex.org/I2800403580"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pranav Salapaka","raw_affiliation_strings":["University of Minnesota,Department of Electrical & Computer Engineering,MN,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Minnesota,Department of Electrical & Computer Engineering,MN,USA","institution_ids":["https://openalex.org/I130238516","https://openalex.org/I2800403580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106662289","display_name":"Ya\u015far Utku Al\u00e7alar","orcid":null},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]},{"id":"https://openalex.org/I2800403580","display_name":"University of Minnesota System","ror":"https://ror.org/03grvy078","country_code":"US","type":"education","lineage":["https://openalex.org/I2800403580"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ya\u015far Utku Al\u00e7alar","raw_affiliation_strings":["University of Minnesota,Department of Electrical & Computer Engineering,MN,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Minnesota,Department of Electrical & Computer Engineering,MN,USA","institution_ids":["https://openalex.org/I130238516","https://openalex.org/I2800403580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031984988","display_name":"Burhaneddin Yaman","orcid":"https://orcid.org/0000-0003-0791-5900"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]},{"id":"https://openalex.org/I2800403580","display_name":"University of Minnesota System","ror":"https://ror.org/03grvy078","country_code":"US","type":"education","lineage":["https://openalex.org/I2800403580"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Burhaneddin Yaman","raw_affiliation_strings":["University of Minnesota,Department of Electrical & Computer Engineering,MN,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Minnesota,Department of Electrical & Computer Engineering,MN,USA","institution_ids":["https://openalex.org/I130238516","https://openalex.org/I2800403580"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044571053","display_name":"Mehmet Ak\u00e7akaya","orcid":"https://orcid.org/0000-0001-6400-7736"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]},{"id":"https://openalex.org/I2800403580","display_name":"University of Minnesota System","ror":"https://ror.org/03grvy078","country_code":"US","type":"education","lineage":["https://openalex.org/I2800403580"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mehmet Ak\u00e7akaya","raw_affiliation_strings":["University of Minnesota,Department of Electrical & Computer Engineering,MN,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Minnesota,Department of Electrical & Computer Engineering,MN,USA","institution_ids":["https://openalex.org/I130238516","https://openalex.org/I2800403580"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"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":"242","last_page":"246"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.1347000002861023,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.1347000002861023,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.1128000020980835,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.11010000109672546,"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/metric","display_name":"Metric (unit)","score":0.6215999722480774},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.45170000195503235},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.44429999589920044},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4169999957084656},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.33970001339912415},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.28999999165534973}],"concepts":[{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6215999722480774},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6097999811172485},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5335999727249146},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.45170000195503235},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44620001316070557},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.44429999589920044},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4169999957084656},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.33970001339912415},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31839999556541443},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.28999999165534973},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.2822999954223633},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.2791999876499176},{"id":"https://openalex.org/C3020001037","wikidata":"https://www.wikidata.org/wiki/Q836575","display_name":"Quality assessment","level":3,"score":0.2646999955177307},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.26089999079704285}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ieeeconf67917.2025.11443808","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf67917.2025.11443808","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 59th Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W2060131032","https://openalex.org/W2092264651","https://openalex.org/W2604388535","https://openalex.org/W2734603456","https://openalex.org/W2773850766","https://openalex.org/W2999167634","https://openalex.org/W2999511788","https://openalex.org/W3001554227","https://openalex.org/W3003650457","https://openalex.org/W3031786322","https://openalex.org/W3039236647","https://openalex.org/W3041018972","https://openalex.org/W3048371841","https://openalex.org/W3088709105","https://openalex.org/W3101847293","https://openalex.org/W3157723514","https://openalex.org/W3162880680","https://openalex.org/W4213412343","https://openalex.org/W4214521665","https://openalex.org/W4249760698","https://openalex.org/W4296960867","https://openalex.org/W4313524971","https://openalex.org/W4377089482","https://openalex.org/W4391382298","https://openalex.org/W4411193037","https://openalex.org/W7135019943"],"related_works":[],"abstract_inverted_index":{"Image":[0],"quality":[1],"assessment":[2,21],"(IQA)":[3],"is":[4,171],"imperative":[5],"in":[6,53,127,130],"the":[7,81,121,143,148,155,158,168],"evaluation":[8],"of":[9,56,107,124,142,157],"computational":[10,108,131],"imaging":[11,58,109,117],"algorithms,":[12,110],"especially":[13],"those":[14],"based":[15],"on":[16,24,114,151,179],"artificial":[17],"intelligence":[18],"(AI).":[19],"Such":[20],"often":[22],"relies":[23],"comparisons":[25],"with":[26,111,174],"a":[27,54,101,112,135],"reference":[28,61,180],"image":[29,77],"through":[30],"metrics":[31,176],"such":[32,74],"as":[33],"peak":[34],"signal-to-noise":[35],"ratio":[36],"(PSNR),":[37],"structural":[38],"similarity":[39],"index":[40],"measure":[41],"(SSIM),":[42],"or":[43,70],"other":[44],"perceptual":[45],"distance":[46],"measures.":[47],"This":[48],"poses":[49],"challenges":[50],"for":[51,93,104,138],"IQA":[52,106],"number":[55],"medical":[57],"scenarios,":[59],"where":[60],"data":[62,145],"cannot":[63],"be":[64],"acquired":[65,144],"due":[66],"to":[67],"system,":[68],"physiological,":[69],"time":[71],"constraints.":[72],"In":[73,96],"settings,":[75],"expert":[76],"readings":[78],"have":[79],"become":[80],"norm,":[82],"but":[83],"these":[84,152],"are":[85],"both":[86],"subjective":[87],"and":[88,146],"time-consuming,":[89],"making":[90],"them":[91],"infeasible":[92],"large-scale":[94],"use.":[95],"this":[97],"work,":[98],"we":[99,133],"propose":[100],"self-validation":[102,149],"metric":[103,150,170],"referenceless":[105],"focus":[113],"magnetic":[115],"resonance":[116],"(MRI).":[118],"Inspired":[119],"by":[120],"recent":[122],"success":[123],"holdout/masking":[125],"strategies":[126],"self-supervised":[128],"training":[129],"imaging,":[132],"develop":[134],"novel":[136],"strategy":[137],"masking":[139],"out":[140],"parts":[141],"calculating":[147],"points":[153],"at":[154],"output":[156],"algorithm.":[159],"Experiments":[160],"using":[161],"physics-driven":[162],"AI":[163],"reconstruction":[164],"algorithms":[165],"show":[166],"that":[167,177],"proposed":[169],"strongly":[172],"correlated":[173],"standard":[175],"rely":[178],"images.":[181]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-03-27T00:00:00"}