{"id":"https://openalex.org/W4410342066","doi":"https://doi.org/10.1109/ncc63735.2025.10983225","title":"An \u2018Unsupervised\u2019 3D Image Quality Assessment using Spectral Decompositions of Scene Components","display_name":"An \u2018Unsupervised\u2019 3D Image Quality Assessment using Spectral Decompositions of Scene Components","publication_year":2025,"publication_date":"2025-03-06","ids":{"openalex":"https://openalex.org/W4410342066","doi":"https://doi.org/10.1109/ncc63735.2025.10983225"},"language":"en","primary_location":{"id":"doi:10.1109/ncc63735.2025.10983225","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ncc63735.2025.10983225","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 National Conference on Communications (NCC)","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/A5117535276","display_name":"Saish Kajrolkar","orcid":null},"institutions":[{"id":"https://openalex.org/I64295750","display_name":"Indian Institute of Technology Indore","ror":"https://ror.org/01hhf7w52","country_code":"IN","type":"education","lineage":["https://openalex.org/I64295750"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Saish Kajrolkar","raw_affiliation_strings":["Indian Institute of Technology,Department of Electrical Engineering,Indore"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology,Department of Electrical Engineering,Indore","institution_ids":["https://openalex.org/I64295750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5117535277","display_name":"Venkatakiran Madana","orcid":null},"institutions":[{"id":"https://openalex.org/I1330855593","display_name":"Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology","ror":"https://ror.org/05bc5bx80","country_code":"IN","type":"education","lineage":["https://openalex.org/I1330855593"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Venkatakiran Madana","raw_affiliation_strings":["Vel Tech University,Computer Science and Engineering,Chennai"],"affiliations":[{"raw_affiliation_string":"Vel Tech University,Computer Science and Engineering,Chennai","institution_ids":["https://openalex.org/I1330855593"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004903747","display_name":"Balasubramanyam Appina","orcid":"https://orcid.org/0000-0003-4751-2866"},"institutions":[{"id":"https://openalex.org/I64295750","display_name":"Indian Institute of Technology Indore","ror":"https://ror.org/01hhf7w52","country_code":"IN","type":"education","lineage":["https://openalex.org/I64295750"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Balasubramanyam Appina","raw_affiliation_strings":["Indian Institute of Technology,Department of Electrical Engineering,Indore"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology,Department of Electrical Engineering,Indore","institution_ids":["https://openalex.org/I64295750"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5117535276"],"corresponding_institution_ids":["https://openalex.org/I64295750"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10867366,"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":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9995999932289124,"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":0.9995999932289124,"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/T11666","display_name":"Color Science and Applications","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9965999722480774,"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/computer-science","display_name":"Computer science","score":0.7061886191368103},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6578201055526733},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5863606929779053},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.4746207296848297},{"id":"https://openalex.org/keywords/quality-assessment","display_name":"Quality assessment","score":0.4744602143764496},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4723908603191376},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4568309783935547},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44828757643699646},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08088278770446777},{"id":"https://openalex.org/keywords/evaluation-methods","display_name":"Evaluation methods","score":0.06221124529838562}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7061886191368103},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6578201055526733},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5863606929779053},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4746207296848297},{"id":"https://openalex.org/C3020001037","wikidata":"https://www.wikidata.org/wiki/Q836575","display_name":"Quality assessment","level":3,"score":0.4744602143764496},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4723908603191376},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4568309783935547},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44828757643699646},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08088278770446777},{"id":"https://openalex.org/C3018395757","wikidata":"https://www.wikidata.org/wiki/Q1379672","display_name":"Evaluation methods","level":2,"score":0.06221124529838562},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ncc63735.2025.10983225","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ncc63735.2025.10983225","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 National Conference on Communications (NCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1500458919","https://openalex.org/W1580389772","https://openalex.org/W1930650491","https://openalex.org/W1977725648","https://openalex.org/W1978301949","https://openalex.org/W1981076008","https://openalex.org/W2001367356","https://openalex.org/W2020081164","https://openalex.org/W2040617105","https://openalex.org/W2046119925","https://openalex.org/W2069350372","https://openalex.org/W2073812468","https://openalex.org/W2083610878","https://openalex.org/W2099308462","https://openalex.org/W2102166818","https://openalex.org/W2103706951","https://openalex.org/W2109812093","https://openalex.org/W2123191840","https://openalex.org/W2128038948","https://openalex.org/W2129644086","https://openalex.org/W2130427361","https://openalex.org/W2130663981","https://openalex.org/W2133665775","https://openalex.org/W2168424431","https://openalex.org/W2206823058","https://openalex.org/W2258211000","https://openalex.org/W2280408335","https://openalex.org/W2285053847","https://openalex.org/W2904271401","https://openalex.org/W2994714411","https://openalex.org/W3082888445","https://openalex.org/W4313595898"],"related_works":["https://openalex.org/W2384667405","https://openalex.org/W2373216116","https://openalex.org/W2362665430","https://openalex.org/W3123396266","https://openalex.org/W2466958844","https://openalex.org/W1963988314","https://openalex.org/W2804751933","https://openalex.org/W1924500548","https://openalex.org/W2245293081","https://openalex.org/W1973829424"],"abstract_inverted_index":{"We":[0],"present":[1],"an":[2,132],"unsupervised":[3,134],"no-reference":[4],"(NR)":[5],"image":[6,34,56],"quality":[7,15,63,123],"assessment":[8,64],"(IQA)":[9],"algorithm":[10],"designed":[11],"to":[12,49,119],"evaluate":[13],"perceptual":[14],"in":[16,155],"natural":[17],"stereoscopic":[18,163],"3D":[19],"(S3D)":[20],"scenes.":[21],"At":[22],"the":[23,29,59,68,82,92,126,156],"core":[24],"of":[25,31,61,110],"our":[26,62],"approach":[27],"is":[28],"creation":[30],"a":[32,36,86,121],"cyclopean":[33,55,93],"-":[35],"synthesized":[37],"single":[38],"view":[39],"that":[40,74,136],"integrates":[41],"information":[42],"from":[43],"both":[44],"left":[45],"and":[46,71,99,104,160],"right":[47],"perspectives":[48],"simulate":[50],"human":[51],"binocular":[52],"perception.":[53],"This":[54],"serves":[57],"as":[58],"foundation":[60],"method,":[65],"closely":[66],"capturing":[67,95],"chrominance,":[69,97],"structural":[70],"depth":[72],"characteristics":[73],"influence":[75],"perceived":[76],"S3D":[77,127],"quality.":[78],"To":[79],"further":[80],"enhance":[81],"analysis,":[83],"we":[84],"apply":[85],"multi-orientation":[87],"steerable":[88],"pyramid":[89],"decomposition":[90],"on":[91,144],"image,":[94],"intricate":[96],"luminance":[98],"depth-related":[100],"features":[101],"through":[102],"entropy":[103],"Perception-based":[105],"Image":[106],"Quality":[107],"Evaluator":[108],"scores":[109,115],"each":[111],"orientation.":[112],"These":[113],"orientation-specific":[114],"are":[116],"then":[117],"aggregated":[118],"form":[120],"comprehensive":[122],"metric":[124],"for":[125],"image.":[128],"The":[129],"proposed":[130],"model,":[131],"entirely":[133],"model":[135],"operates":[137],"without":[138],"reference":[139],"images":[140],"or":[141],"prior":[142],"training":[143],"subjective":[145],"opinion":[146],"scores,":[147],"demonstrates":[148],"consistent":[149],"performance":[150],"across":[151],"various":[152],"distortion":[153],"types":[154],"LIVE":[157],"Phase":[158,161],"I":[159],"II":[162],"datasets.":[164]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}