{"id":"https://openalex.org/W2083525739","doi":"https://doi.org/10.1109/ccst.2012.6393587","title":"HLFSIM: Objective image quality metric based on ROI analysis","display_name":"HLFSIM: Objective image quality metric based on ROI analysis","publication_year":2012,"publication_date":"2012-10-01","ids":{"openalex":"https://openalex.org/W2083525739","doi":"https://doi.org/10.1109/ccst.2012.6393587","mag":"2083525739"},"language":"en","primary_location":{"id":"doi:10.1109/ccst.2012.6393587","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccst.2012.6393587","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Carnahan Conference on Security Technology (ICCST)","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/A5051639778","display_name":"Petr Dost\u00e1l","orcid":"https://orcid.org/0000-0002-7871-4789"},"institutions":[{"id":"https://openalex.org/I44504214","display_name":"Czech Technical University in Prague","ror":"https://ror.org/03kqpb082","country_code":"CZ","type":"education","lineage":["https://openalex.org/I44504214"]}],"countries":["CZ"],"is_corresponding":true,"raw_author_name":"Petr Dostal","raw_affiliation_strings":["Czech Technical University in Prague, Prague, Czech Republic","Czech Technical University in Prague, Technicka 2, 166 27 Prague 6, Czech Republic"],"affiliations":[{"raw_affiliation_string":"Czech Technical University in Prague, Prague, Czech Republic","institution_ids":["https://openalex.org/I44504214"]},{"raw_affiliation_string":"Czech Technical University in Prague, Technicka 2, 166 27 Prague 6, Czech Republic","institution_ids":["https://openalex.org/I44504214"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019073728","display_name":"Luk\u00e1\u0161 Krasula","orcid":"https://orcid.org/0000-0003-1205-7429"},"institutions":[{"id":"https://openalex.org/I44504214","display_name":"Czech Technical University in Prague","ror":"https://ror.org/03kqpb082","country_code":"CZ","type":"education","lineage":["https://openalex.org/I44504214"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Lukas Krasula","raw_affiliation_strings":["Czech Technical University in Prague, Prague, Czech Republic","Czech Technical University in Prague, Technicka 2, 166 27 Prague 6, Czech Republic"],"affiliations":[{"raw_affiliation_string":"Czech Technical University in Prague, Prague, Czech Republic","institution_ids":["https://openalex.org/I44504214"]},{"raw_affiliation_string":"Czech Technical University in Prague, Technicka 2, 166 27 Prague 6, Czech Republic","institution_ids":["https://openalex.org/I44504214"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076116616","display_name":"Milo\u0161 Kl\u00edma","orcid":"https://orcid.org/0009-0004-5890-2493"},"institutions":[{"id":"https://openalex.org/I44504214","display_name":"Czech Technical University in Prague","ror":"https://ror.org/03kqpb082","country_code":"CZ","type":"education","lineage":["https://openalex.org/I44504214"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Milos Klima","raw_affiliation_strings":["Czech Technical University in Prague, Prague, Czech Republic","Czech Technical University in Prague, Technicka 2, 166 27 Prague 6, Czech Republic"],"affiliations":[{"raw_affiliation_string":"Czech Technical University in Prague, Prague, Czech Republic","institution_ids":["https://openalex.org/I44504214"]},{"raw_affiliation_string":"Czech Technical University in Prague, Technicka 2, 166 27 Prague 6, Czech Republic","institution_ids":["https://openalex.org/I44504214"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5051639778"],"corresponding_institution_ids":["https://openalex.org/I44504214"],"apc_list":null,"apc_paid":null,"fwci":0.2745,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.58953363,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"7443","issue":null,"first_page":"367","last_page":"375"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":1.0,"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":1.0,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.996399998664856,"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":0.995199978351593,"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/metric","display_name":"Metric (unit)","score":0.7392753958702087},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7320988774299622},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.6682929992675781},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6547045707702637},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.6230523586273193},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6190534830093384},{"id":"https://openalex.org/keywords/region-of-interest","display_name":"Region of interest","score":0.49721601605415344},{"id":"https://openalex.org/keywords/video-quality","display_name":"Video quality","score":0.4613805413246155},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.45711493492126465},{"id":"https://openalex.org/keywords/rank-correlation","display_name":"Rank correlation","score":0.4550122618675232},{"id":"https://openalex.org/keywords/correlation-coefficient","display_name":"Correlation coefficient","score":0.41498011350631714},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37187322974205017},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.10246360301971436}],"concepts":[{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.7392753958702087},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7320988774299622},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.6682929992675781},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6547045707702637},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.6230523586273193},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6190534830093384},{"id":"https://openalex.org/C19609008","wikidata":"https://www.wikidata.org/wiki/Q2138203","display_name":"Region of interest","level":2,"score":0.49721601605415344},{"id":"https://openalex.org/C103910844","wikidata":"https://www.wikidata.org/wiki/Q2631256","display_name":"Video quality","level":3,"score":0.4613805413246155},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.45711493492126465},{"id":"https://openalex.org/C101601086","wikidata":"https://www.wikidata.org/wiki/Q3753228","display_name":"Rank correlation","level":2,"score":0.4550122618675232},{"id":"https://openalex.org/C2780092901","wikidata":"https://www.wikidata.org/wiki/Q3433612","display_name":"Correlation coefficient","level":2,"score":0.41498011350631714},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37187322974205017},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.10246360301971436},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccst.2012.6393587","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccst.2012.6393587","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Carnahan Conference on Security Technology (ICCST)","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":20,"referenced_works":["https://openalex.org/W1580389772","https://openalex.org/W1998886990","https://openalex.org/W2046119925","https://openalex.org/W2082136663","https://openalex.org/W2112365634","https://openalex.org/W2112792100","https://openalex.org/W2123495230","https://openalex.org/W2133665775","https://openalex.org/W2138119903","https://openalex.org/W2139272332","https://openalex.org/W2141983208","https://openalex.org/W2142036176","https://openalex.org/W2146103513","https://openalex.org/W2153377815","https://openalex.org/W2164734076","https://openalex.org/W2169955403","https://openalex.org/W2170869852","https://openalex.org/W2626610348","https://openalex.org/W3182211633","https://openalex.org/W6685314622"],"related_works":["https://openalex.org/W2384219337","https://openalex.org/W2357941858","https://openalex.org/W3036722656","https://openalex.org/W2358850878","https://openalex.org/W2083307975","https://openalex.org/W2389190814","https://openalex.org/W2360949080","https://openalex.org/W4387540520","https://openalex.org/W2509623247","https://openalex.org/W2348328178"],"abstract_inverted_index":{"The":[0,41,69,82,155],"image/video":[1,14],"quality":[2,15,31,112,153],"is":[3,33,37,44],"a":[4],"key":[5],"issue":[6],"in":[7,46,139],"security":[8,70],"video":[9],"systems.":[10],"Therefore":[11],"the":[12,23,50,55,85,106,126,150,159],"objective":[13,27,86,110,147],"criteria":[16],"are":[17],"extensively":[18],"studied.":[19],"In":[20,122],"this":[21,140],"paper,":[22,125],"novel":[24],"full":[25,108,145],"reference":[26,109,146],"metric":[28,36],"for":[29,79,149,168],"image":[30,111,152],"assessment":[32],"proposed.":[34],"This":[35,136],"based":[38],"on":[39],"FSIM.":[40,121],"ROI":[42,53,132,160],"detection":[43],"embedded":[45],"order":[47],"to":[48],"improve":[49],"performance.":[51],"For":[52,103],"estimation,":[54],"ground":[56],"truth":[57],"data":[58],"together":[59],"with":[60],"two":[61],"different":[62],"algorithms":[63],"were":[64,77,114],"used":[65,78,167],"and":[66,71,87,97,120,131,142],"compared":[67],"-":[68],"multimedia":[72,91],"images":[73,92],"from":[74],"LIVE":[75],"database":[76],"performance":[80,104,169],"evaluation.":[81,154],"correlation":[83],"between":[84],"subjective":[88],"tests":[89],"of":[90,128],"was":[93],"calculated":[94],"using":[95],"Pearson's":[96],"Spearman":[98],"Rank":[99],"Order":[100],"Correlation":[101],"Coefficient.":[102],"comparison":[105],"state-of-the-art":[107],"metrics":[113,148],"used;":[115],"PSNR,":[116],"SSIM,":[117],"MS-SSIM,":[118],"VIF":[119],"our":[123],"previous":[124],"importance":[127],"demosaicing":[129],"technique":[130],"has":[133],"been":[134],"shown.":[135],"paper":[137],"continues":[138],"topic":[141],"implements":[143],"new":[144],"reconstructed":[151],"results":[156],"reveal":[157],"that":[158],"controlled":[161],"by":[162],"bottom-up":[163],"mechanism":[164],"can":[165],"be":[166],"improvement.":[170]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}