{"id":"https://openalex.org/W2065426982","doi":"https://doi.org/10.1117/12.2038982","title":"LoG acts as a good feature in the task of image quality assessment","display_name":"LoG acts as a good feature in the task of image quality assessment","publication_year":2014,"publication_date":"2014-03-07","ids":{"openalex":"https://openalex.org/W2065426982","doi":"https://doi.org/10.1117/12.2038982","mag":"2065426982"},"language":"en","primary_location":{"id":"doi:10.1117/12.2038982","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2038982","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","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/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":["Xi'an Jiaotong Univ. (China)","Xi'an Jiaotong Univ.  (China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi'an Jiaotong Univ. (China)","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Xi'an Jiaotong Univ.  (China)","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027394528","display_name":"Wufeng Xue","orcid":"https://orcid.org/0000-0002-9776-0975"},"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":"Wufeng Xue","raw_affiliation_strings":["Xi'an Jiaotong Univ. (China)","Xi'an Jiaotong Univ.  (China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi'an Jiaotong Univ. (China)","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Xi'an Jiaotong Univ.  (China)","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051101052","display_name":"Congmin Chen","orcid":"https://orcid.org/0000-0002-9301-3892"},"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":"Congmin Chen","raw_affiliation_strings":["Xi'an Jiaotong Univ. (China)","Xi'an Jiaotong Univ.  (China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi'an Jiaotong Univ. (China)","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Xi'an Jiaotong Univ.  (China)","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100433899","display_name":"Lei Zhang","orcid":"https://orcid.org/0000-0002-2078-4215"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Lei Zhang","raw_affiliation_strings":["The Hong Kong Polytechnic Univ. (Hong Kong, China)","The Hong Kong Polytechnic University,Hong Kong,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Hong Kong Polytechnic Univ. (Hong Kong, China)","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"The Hong Kong Polytechnic University,Hong Kong,China","institution_ids":["https://openalex.org/I14243506"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"9023","issue":null,"first_page":"902313","last_page":"902313"},"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":0.9962999820709229,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9944999814033508,"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/computer-science","display_name":"Computer science","score":0.77800452709198},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.621973991394043},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.5899311304092407},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.534523069858551},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5079260468482971},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.49377402663230896},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.48311471939086914},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48173788189888},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.472662091255188},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4382014572620392},{"id":"https://openalex.org/keywords/blob-detection","display_name":"Blob detection","score":0.4191923439502716},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4125782251358032},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3886805772781372},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.2820919156074524},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20844978094100952},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.19421851634979248}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.77800452709198},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.621973991394043},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.5899311304092407},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.534523069858551},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5079260468482971},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.49377402663230896},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.48311471939086914},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48173788189888},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.472662091255188},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4382014572620392},{"id":"https://openalex.org/C29168087","wikidata":"https://www.wikidata.org/wiki/Q1026711","display_name":"Blob detection","level":5,"score":0.4191923439502716},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4125782251358032},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3886805772781372},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.2820919156074524},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20844978094100952},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.19421851634979248},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"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":1,"locations":[{"id":"doi:10.1117/12.2038982","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2038982","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","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":22,"referenced_works":["https://openalex.org/W1580389772","https://openalex.org/W1985931349","https://openalex.org/W2023539733","https://openalex.org/W2026453228","https://openalex.org/W2042925217","https://openalex.org/W2046119925","https://openalex.org/W2055154652","https://openalex.org/W2114582993","https://openalex.org/W2121702780","https://openalex.org/W2133665775","https://openalex.org/W2137389496","https://openalex.org/W2141983208","https://openalex.org/W2142884912","https://openalex.org/W2151035455","https://openalex.org/W2171349048","https://openalex.org/W2324971623","https://openalex.org/W2562583328","https://openalex.org/W3182211633","https://openalex.org/W6634589695","https://openalex.org/W6656879850","https://openalex.org/W6701249984","https://openalex.org/W6798736878"],"related_works":["https://openalex.org/W2012231760","https://openalex.org/W2350376800","https://openalex.org/W2801565726","https://openalex.org/W2979578032","https://openalex.org/W2102148524","https://openalex.org/W2314720829","https://openalex.org/W2999222100","https://openalex.org/W4385074335","https://openalex.org/W2377058894","https://openalex.org/W2801208768"],"abstract_inverted_index":{"In":[0,60,106],"the":[1,4,12,46,69,72,78,99,112,126,145,149,163,169,178,189,192,201,206],"previous":[2],"work,":[3],"LoG":[5,37,73,76,127,193],"(Laplacian":[6],"of":[7,16,43,48,68,71,81,104,151,191],"Gaussian)":[8],"signal":[9,38,147,194],"that":[10,36,125,200],"is":[11,87,128],"earliest":[13],"stage":[14],"output":[15],"human":[17],"visual":[18],"neural":[19],"system":[20],"was":[21],"suggested":[22],"to":[23,91,136,177],"be":[24],"useful":[25],"in":[26,45,148,195,205],"image":[27,117,120],"quality":[28],"assessment":[29],"(IQA)":[30],"model":[31,153,197],"design.":[32],"This":[33],"work":[34],"considered":[35],"carried":[39],"crucial":[40],"structural":[41],"information":[42],"IQA":[44,58,152,196,208],"position":[47],"its":[49],"zero-crossing":[50],"and":[51,118,122,168,199],"proposed":[52,172,202],"a":[53,130],"Non-shift":[54],"Edge":[55],"(NSE)":[56],"based":[57],"model.":[59],"this":[61,102,107,141],"study,":[62],"we":[63,109,143],"focus":[64],"on":[65,140,181],"another":[66],"aspect":[67],"properties":[70],"signal,":[74],"i.e.,":[75,162],"whitens":[77],"power":[79],"spectrum":[80],"natural":[82,116],"images.":[83],"Here":[84],"our":[85],"interest":[86],"that:":[88],"when":[89],"exposed":[90],"unnatural":[92],"images,":[93,96],"specifically":[94],"distorted":[95,119,134],"how":[97],"does":[98],"HVS":[100],"whitening":[101,113,131],"type":[103],"signals?":[105],"paper,":[108],"first":[110],"investigate":[111],"filter":[114,132],"for":[115,133],"respectively,":[121],"then":[123],"suggest":[124],"also":[129],"images":[135],"some":[137],"extent.":[138],"Based":[139],"fact,":[142],"deploy":[144],"LOG":[146],"task":[150],"design":[154,198],"by":[155],"applying":[156],"two":[157],"very":[158],"simple":[159],"distance":[160],"metrics,":[161],"MSE":[164],"(mean":[165],"square":[166],"error)":[167],"correlation.":[170],"The":[171,185],"models":[173,203],"are":[174],"analyzed":[175],"according":[176],"evaluation":[179],"performance":[180],"three":[182],"subjective":[183],"databases.":[184],"experimental":[186],"results":[187],"validate":[188],"usability":[190],"stay":[204],"state-of-the-art":[207],"models.":[209]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
