{"id":"https://openalex.org/W2572992017","doi":"https://doi.org/10.1109/vcip.2016.7805458","title":"A no-reference infrared image sharpness assessment based on singular value decomposition","display_name":"A no-reference infrared image sharpness assessment based on singular value decomposition","publication_year":2016,"publication_date":"2016-11-01","ids":{"openalex":"https://openalex.org/W2572992017","doi":"https://doi.org/10.1109/vcip.2016.7805458","mag":"2572992017"},"language":"en","primary_location":{"id":"doi:10.1109/vcip.2016.7805458","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2016.7805458","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Visual Communications and Image Processing (VCIP)","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/A5100425080","display_name":"Yingjie Li","orcid":"https://orcid.org/0000-0003-4015-4576"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ying-Jie Li","raw_affiliation_strings":["Control and Simulation Center, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Control and Simulation Center, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083601805","display_name":"Xiaoguang Di","orcid":"https://orcid.org/0000-0002-5709-6862"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao-Guang Di","raw_affiliation_strings":["Control and Simulation Center, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Control and Simulation Center, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100425080"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15655958,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"19","issue":null,"first_page":"1","last_page":"4"},"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":0.9943000078201294,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9941999912261963,"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":0.730970025062561},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.6563212871551514},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6257131099700928},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.6151137948036194},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.596871018409729},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5525675415992737},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5466941595077515},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5402180552482605},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.530235767364502},{"id":"https://openalex.org/keywords/infrared","display_name":"Infrared","score":0.4786471128463745},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33042964339256287},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.15911057591438293},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11467322707176208},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.060386061668395996}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.730970025062561},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.6563212871551514},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6257131099700928},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.6151137948036194},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.596871018409729},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5525675415992737},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5466941595077515},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5402180552482605},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.530235767364502},{"id":"https://openalex.org/C158355884","wikidata":"https://www.wikidata.org/wiki/Q11388","display_name":"Infrared","level":2,"score":0.4786471128463745},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33042964339256287},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.15911057591438293},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11467322707176208},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.060386061668395996},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/vcip.2016.7805458","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2016.7805458","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"},{"id":"mag:2750030079","is_oa":false,"landing_page_url":"http://jglobal.jst.go.jp/en/public/20090422/201702255686410013","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","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":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1982471090","https://openalex.org/W1984066865","https://openalex.org/W2101083417","https://openalex.org/W2117117414","https://openalex.org/W2117644767","https://openalex.org/W2130150012","https://openalex.org/W2131676517","https://openalex.org/W2134963900","https://openalex.org/W2138088051","https://openalex.org/W2161223164","https://openalex.org/W2162692770","https://openalex.org/W2167349140","https://openalex.org/W2171349048","https://openalex.org/W2171983844","https://openalex.org/W2324971623","https://openalex.org/W3182211633","https://openalex.org/W6683855620","https://openalex.org/W6685217629","https://openalex.org/W6701249984","https://openalex.org/W6798736878"],"related_works":["https://openalex.org/W2329500892","https://openalex.org/W28991112","https://openalex.org/W2370726991","https://openalex.org/W2369710579","https://openalex.org/W3121932492","https://openalex.org/W4327728159","https://openalex.org/W4232638561","https://openalex.org/W4394266730","https://openalex.org/W1990856605","https://openalex.org/W1997544008"],"abstract_inverted_index":{"Recent":[0],"image":[1,10,13,54,91,96,133],"sharpness":[2,14,134],"metrics":[3],"are":[4,69],"usually":[5,24],"proposed":[6,50,84,113],"for":[7,20],"visible":[8,131],"light":[9,132],"and":[11,44,76,92,125],"infrared":[12,21,53,123],"assessment":[15],"is":[16,49,58,83,99,126],"seldom":[17],"discussed.":[18],"As":[19],"images,":[22],"we":[23],"concern":[25],"more":[26],"about":[27],"the":[28,73,87,104,112,118],"salient":[29,67],"regions.":[30],"Therefore,":[31],"in":[32],"this":[33],"paper,":[34],"a":[35,63],"novel":[36],"no-reference":[37],"algorithm":[38],"based":[39],"on":[40],"saliency":[41],"detection":[42],"(SD)":[43],"singular":[45,79],"value":[46,80],"decomposition":[47],"(SVD)":[48],"to":[51,61,85],"assess":[52],"sharpness.":[55],"Gaussian":[56],"blur":[57],"first":[59],"used":[60],"build":[62],"reference":[64,93],"image.":[65,94],"Then":[66],"regions":[68],"detected":[70],"by":[71,102],"combining":[72],"local":[74],"mean":[75],"variation.":[77],"Next,":[78],"decomposition-based":[81],"metric":[82],"evaluate":[86],"variation":[88],"between":[89],"original":[90],"The":[95],"quality":[97,120],"score":[98],"finally":[100],"obtained":[101],"using":[103],"five-parameter":[105],"logistic":[106],"regression.":[107],"Experimental":[108],"results":[109],"show":[110],"that":[111],"method":[114],"correlates":[115],"well":[116],"with":[117,129],"subjective":[119],"evaluations":[121],"of":[122],"images":[124],"highly":[127],"competitive":[128],"state-of-the-art":[130],"metrics.":[135]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}