{"id":"https://openalex.org/W3201634874","doi":"https://doi.org/10.1109/access.2021.3112741","title":"No-Reference Image Quality Assessment Based on Edge Pattern Feature in the Spatial Domain","display_name":"No-Reference Image Quality Assessment Based on Edge Pattern Feature in the Spatial Domain","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3201634874","doi":"https://doi.org/10.1109/access.2021.3112741","mag":"3201634874"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3112741","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3112741","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09537808.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09537808.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5025333501","display_name":"Wenting Shao","orcid":null},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenting Shao","raw_affiliation_strings":["Institute of Image Processing and Pattern Recognition, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0001-8543-7452","affiliations":[{"raw_affiliation_string":"Institute of Image Processing and Pattern Recognition, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013663929","display_name":"Xuanqin Mou","orcid":"https://orcid.org/0000-0003-1381-5260"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuanqin Mou","raw_affiliation_strings":["Institute of Image Processing and Pattern Recognition, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0003-1381-5260","affiliations":[{"raw_affiliation_string":"Institute of Image Processing and Pattern Recognition, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.3769,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.60459247,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"9","issue":null,"first_page":"133170","last_page":"133184"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9955000281333923,"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"}},{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9763000011444092,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6547817587852478},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6525653600692749},{"id":"https://openalex.org/keywords/image-gradient","display_name":"Image gradient","score":0.6248389482498169},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6194915175437927},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5971140265464783},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5564958453178406},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5275216698646545},{"id":"https://openalex.org/keywords/canny-edge-detector","display_name":"Canny edge detector","score":0.5016641616821289},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.5005371570587158},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4770866334438324},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.472484290599823},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.4598769247531891},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4249204099178314},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3216766119003296}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6547817587852478},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6525653600692749},{"id":"https://openalex.org/C182037307","wikidata":"https://www.wikidata.org/wiki/Q17039097","display_name":"Image gradient","level":5,"score":0.6248389482498169},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6194915175437927},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5971140265464783},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5564958453178406},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5275216698646545},{"id":"https://openalex.org/C14705441","wikidata":"https://www.wikidata.org/wiki/Q597183","display_name":"Canny edge detector","level":5,"score":0.5016641616821289},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.5005371570587158},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4770866334438324},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.472484290599823},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4598769247531891},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4249204099178314},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3216766119003296},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2021.3112741","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3112741","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09537808.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:65a84f4037aa404999ad4ebc1c2f3cf0","is_oa":true,"landing_page_url":"https://doaj.org/article/65a84f4037aa404999ad4ebc1c2f3cf0","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 9, Pp 133170-133184 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3112741","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3112741","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09537808.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3675651417","display_name":"\u56fe\u50cf\u8d28\u91cf\u8bc4\u4ef7\u6a21\u578b\u5f15\u5bfc\u7684CT\u8fed\u4ee3\u91cd\u5efa\u65b9\u6cd5\u7814\u7a76","funder_award_id":"62071375","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3201634874.pdf","grobid_xml":"https://content.openalex.org/works/W3201634874.grobid-xml"},"referenced_works_count":59,"referenced_works":["https://openalex.org/W1561538450","https://openalex.org/W1580389772","https://openalex.org/W1583822213","https://openalex.org/W1977246677","https://openalex.org/W1977725648","https://openalex.org/W1982471090","https://openalex.org/W1985931349","https://openalex.org/W1987489060","https://openalex.org/W1992148337","https://openalex.org/W2003370853","https://openalex.org/W2006902599","https://openalex.org/W2011347706","https://openalex.org/W2017175959","https://openalex.org/W2046119925","https://openalex.org/W2063360098","https://openalex.org/W2082717553","https://openalex.org/W2089190525","https://openalex.org/W2094909354","https://openalex.org/W2102166818","https://openalex.org/W2117804578","https://openalex.org/W2121702780","https://openalex.org/W2128061775","https://openalex.org/W2129644086","https://openalex.org/W2133251102","https://openalex.org/W2133665775","https://openalex.org/W2145889472","https://openalex.org/W2153635508","https://openalex.org/W2158008371","https://openalex.org/W2161907179","https://openalex.org/W2162692770","https://openalex.org/W2162915697","https://openalex.org/W2168023013","https://openalex.org/W2170633497","https://openalex.org/W2171349048","https://openalex.org/W2295949027","https://openalex.org/W2303076655","https://openalex.org/W2333337984","https://openalex.org/W2472152852","https://openalex.org/W2500825094","https://openalex.org/W2507677080","https://openalex.org/W2508724573","https://openalex.org/W2557218372","https://openalex.org/W2621054742","https://openalex.org/W2658889823","https://openalex.org/W2803816288","https://openalex.org/W2804922349","https://openalex.org/W2886402709","https://openalex.org/W2922433978","https://openalex.org/W2979856523","https://openalex.org/W3017136408","https://openalex.org/W3098560717","https://openalex.org/W3120421331","https://openalex.org/W3182211633","https://openalex.org/W6651155528","https://openalex.org/W6654575633","https://openalex.org/W6661975639","https://openalex.org/W6679514805","https://openalex.org/W6683318631","https://openalex.org/W6685279972"],"related_works":["https://openalex.org/W2763966779","https://openalex.org/W1986338341","https://openalex.org/W264606855","https://openalex.org/W2340360913","https://openalex.org/W2355595498","https://openalex.org/W2166885848","https://openalex.org/W4368362586","https://openalex.org/W2017123465","https://openalex.org/W2362371201","https://openalex.org/W2380862044"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,18,84,88,129,191],"general-purpose":[4],"no-reference":[5],"image":[6,25,144],"quality":[7],"assessment":[8],"(NR-IQA)":[9],"method":[10,169],"that":[11,28,94,103,188],"investigates":[12],"the":[13,22,30,38,42,48,65,75,92,104,134,143,146,153,158,162,175],"image\u2019s":[14,49],"structure":[15],"information":[16],"from":[17,125],"new":[19],"aspect,":[20],"i.e.,":[21],"characteristic":[23],"of":[24,33,41,55,98,108],"edge":[26,35,50,66,76,80,110,117,120,136,159],"profiles":[27,118],"depict":[29],"directional":[31,99],"property":[32,107],"adjacent":[34,109],"points":[36,111],"in":[37,83,161],"spatial":[39,105,163],"domain":[40],"image.":[43],"More":[44],"specifically,":[45],"we":[46,101,151],"extracted":[47],"map":[51,67,77],"based":[52,156],"on":[53,157,174],"Laplacian":[54],"Gaussian":[56],"(LoG)":[57],"filtration":[58],"and":[59,63,138,145,181,197],"zero-crossing":[60],"(ZC)":[61],"detection":[62],"refined":[64],"to":[68],"be":[69,113],"1-pixel":[70],"wide.":[71],"We":[72],"then":[73],"explored":[74],"by":[78],"investigating":[79],"profiles\u2019":[81],"statistics":[82],"local":[85],"window":[86],"with":[87,128,194],"5\u00d75-pixel":[89],"size.":[90],"Considering":[91],"consensus":[93],"natural":[95,126],"images":[96,127],"consist":[97],"structures,":[100],"found":[102],"distribution":[106],"can":[112],"represented":[114],"through":[115],"several":[116],"called":[119],"patterns,":[121],"which":[122],"are":[123],"selected":[124],"proposed":[130,135,152,168],"smooth":[131],"criterion.":[132],"With":[133],"patterns":[137,160],"their":[139],"statistical":[140],"histogram":[141],"for":[142],"support":[147],"vector":[148],"regression":[149],"technique,":[150],"NR-IQA":[154],"model":[155],"domain,":[164],"named":[165],"EPISD.":[166],"The":[167,184],"has":[170,190],"been":[171],"extensively":[172],"validated":[173],"LIVE,":[176],"CSIQ,":[177],"TID2013,":[178],"MDID2017,":[179],"SIQAD,":[180],"SCID":[182],"databases.":[183,202],"experimental":[185],"results":[186],"showed":[187],"EPISD":[189],"competitive":[192],"performance":[193],"state-of-the-art":[195],"methods":[196],"works":[198],"stably":[199],"across":[200],"different":[201]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2021-09-27T00:00:00"}
