{"id":"https://openalex.org/W2578143586","doi":"https://doi.org/10.1109/apsipa.2016.7820693","title":"No-reference quality assessment for image sharpness and noise","display_name":"No-reference quality assessment for image sharpness and noise","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2578143586","doi":"https://doi.org/10.1109/apsipa.2016.7820693","mag":"2578143586"},"language":"en","primary_location":{"id":"doi:10.1109/apsipa.2016.7820693","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipa.2016.7820693","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA)","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/A5074872141","display_name":"Lijuan Tang","orcid":"https://orcid.org/0000-0002-6680-1148"},"institutions":[{"id":"https://openalex.org/I4210102741","display_name":"Jiangsu Vocational College of Medicine","ror":"https://ror.org/01jzst437","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210102741"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lijuan Tang","raw_affiliation_strings":["Jiangsu Vocational College of Business, School of Information and Electronic Engineering, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangsu Vocational College of Business, School of Information and Electronic Engineering, China","institution_ids":["https://openalex.org/I4210102741"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043405654","display_name":"Xiongkuo Min","orcid":"https://orcid.org/0000-0001-5693-0416"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiongkuo Min","raw_affiliation_strings":["Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102827377","display_name":"Vinit Jakhetiya","orcid":"https://orcid.org/0000-0002-2593-397X"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Vinit Jakhetiya","raw_affiliation_strings":["School of Computer Science and Engineering, Nanyang Technological University, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044541383","display_name":"Ke Gu","orcid":"https://orcid.org/0000-0001-5540-3235"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Ke Gu","raw_affiliation_strings":["School of Computer Science and Engineering, Nanyang Technological University, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055937409","display_name":"Xinfeng Zhang","orcid":"https://orcid.org/0000-0002-7517-3868"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Xinfeng Zhang","raw_affiliation_strings":["School of Computer Science and Engineering, Nanyang Technological University, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100736164","display_name":"Shuai Yang","orcid":"https://orcid.org/0000-0002-5576-8629"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuai Yang","raw_affiliation_strings":["Institute of Computer Science and Technology, Peking University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computer Science and Technology, Peking University, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.507,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.7475316,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"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":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","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/T11019","display_name":"Image Enhancement Techniques","score":0.9943000078201294,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.993399977684021,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"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":0.6490182876586914},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.6383739113807678},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6113187074661255},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5135281682014465},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4596850574016571},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4185028672218323},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38811761140823364},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.0906079113483429}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6490182876586914},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.6383739113807678},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6113187074661255},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5135281682014465},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4596850574016571},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4185028672218323},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38811761140823364},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0906079113483429},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/apsipa.2016.7820693","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipa.2016.7820693","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8500000238418579}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1561538450","https://openalex.org/W1562683879","https://openalex.org/W1971014006","https://openalex.org/W1973175507","https://openalex.org/W1974013408","https://openalex.org/W1977725648","https://openalex.org/W1982471090","https://openalex.org/W1984066865","https://openalex.org/W1988649016","https://openalex.org/W2018514099","https://openalex.org/W2018764866","https://openalex.org/W2019002170","https://openalex.org/W2025520157","https://openalex.org/W2054165349","https://openalex.org/W2057224480","https://openalex.org/W2063360098","https://openalex.org/W2068836533","https://openalex.org/W2099244020","https://openalex.org/W2102166818","https://openalex.org/W2117117414","https://openalex.org/W2121927366","https://openalex.org/W2133665775","https://openalex.org/W2134963900","https://openalex.org/W2138088051","https://openalex.org/W2148764920","https://openalex.org/W2161907179","https://openalex.org/W2285151583","https://openalex.org/W2323509952","https://openalex.org/W2430408220","https://openalex.org/W2507774658","https://openalex.org/W2511866412","https://openalex.org/W2539781702","https://openalex.org/W3182211633","https://openalex.org/W6655073140"],"related_works":["https://openalex.org/W2755342338","https://openalex.org/W2779427294","https://openalex.org/W2775347418","https://openalex.org/W2625805835","https://openalex.org/W2079911747","https://openalex.org/W3116076068","https://openalex.org/W3003936178","https://openalex.org/W2069885731","https://openalex.org/W2563206327","https://openalex.org/W2108687567"],"abstract_inverted_index":{"To":[0],"blindly":[1],"evaluate":[2],"the":[3,70,74,103,128,146,175,178],"visual":[4,58,89,109,130,148],"quality":[5,30,90,110,149,181],"of":[6,9,177],"image":[7,14,98,159,167],"is":[8,118],"great":[10],"importance":[11],"in":[12],"many":[13],"processing":[15],"and":[16,60,76,91,111,124,132,161,186,189],"computer":[17],"vision":[18],"applications.":[19],"In":[20],"this":[21],"paper,":[22],"we":[23,100],"develop":[24],"a":[25,35,52,96,114,133,162],"novel":[26],"training-free":[27],"no-reference":[28,190],"(NR)":[29],"metric":[31],"(QM)":[32],"based":[33],"on":[34,155],"unified":[36],"brain":[37],"theory,":[38],"namely,":[39],"free":[40,44],"energy":[41,45],"principle.":[42],"The":[43,67],"principle":[46],"tells":[47],"that":[48,117],"there":[49],"always":[50],"exists":[51],"difference":[53,68,80,105],"between":[54,73],"an":[55],"input":[56],"true":[57],"signal":[59],"its":[61,108],"processed":[62,77],"one":[63],"by":[64,120],"human":[65],"brain.":[66],"encompasses":[69],"\u201csurprising\u201d":[71],"information":[72],"real":[75],"signals.":[78],"This":[79],"has":[81],"been":[82],"found":[83],"to":[84,88,106,144],"be":[85],"highly":[86],"related":[87],"attention.":[92],"More":[93],"specifically,":[94],"given":[95],"distorted":[97],"signal,":[99],"first":[101],"compute":[102],"aforesaid":[104],"approximate":[107],"saliency":[112,131],"via":[113],"semi-parametric":[115],"method":[116],"constructed":[119],"combining":[121],"bilateral":[122],"filter":[123],"auto-regression":[125],"model.":[126],"Afterwards,":[127],"computed":[129],"new":[134],"natural":[135,157],"scene":[136,158],"statistic":[137],"(NSS)":[138],"model":[139],"are":[140,153],"used":[141],"for":[142,169],"modification":[143],"infer":[145],"final":[147],"score.":[150],"Extensive":[151],"experiments":[152],"conducted":[154],"popular":[156],"databases":[160],"recently":[163],"released":[164],"screen":[165],"content":[166],"database":[168],"performance":[170],"comparison.":[171],"Results":[172],"have":[173],"proved":[174],"effectiveness":[176],"proposed":[179],"blind":[180],"measure":[182],"compared":[183],"with":[184],"classical":[185],"state-of-the-art":[187],"full-":[188],"QMs.":[191]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
