{"id":"https://openalex.org/W2128505783","doi":"https://doi.org/10.1109/icsmc.2008.4811357","title":"Human visual system based similarity metrics","display_name":"Human visual system based similarity metrics","publication_year":2008,"publication_date":"2008-10-01","ids":{"openalex":"https://openalex.org/W2128505783","doi":"https://doi.org/10.1109/icsmc.2008.4811357","mag":"2128505783"},"language":"en","primary_location":{"id":"doi:10.1109/icsmc.2008.4811357","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2008.4811357","pdf_url":null,"source":{"id":"https://openalex.org/S4210195764","display_name":"Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics","issn_l":"1062-922X","issn":["1062-922X","2577-1655"],"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Systems, Man and Cybernetics","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/A5048674657","display_name":"E. J. Wharton","orcid":null},"institutions":[{"id":"https://openalex.org/I121934306","display_name":"Tufts University","ror":"https://ror.org/05wvpxv85","country_code":"US","type":"education","lineage":["https://openalex.org/I121934306"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Eric Wharton","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Tufts University, Medford, MA, USA","Dept. of Electr. & Comput. Eng., Tufts Univ., Medford, MA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Tufts University, Medford, MA, USA","institution_ids":["https://openalex.org/I121934306"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Tufts Univ., Medford, MA","institution_ids":["https://openalex.org/I121934306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069074343","display_name":"Karen Panetta","orcid":"https://orcid.org/0000-0001-9435-4536"},"institutions":[{"id":"https://openalex.org/I121934306","display_name":"Tufts University","ror":"https://ror.org/05wvpxv85","country_code":"US","type":"education","lineage":["https://openalex.org/I121934306"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Karen Panetta","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Tufts University, Medford, MA, USA","Dept. of Electr. & Comput. Eng., Tufts Univ., Medford, MA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Tufts University, Medford, MA, USA","institution_ids":["https://openalex.org/I121934306"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Tufts Univ., Medford, MA","institution_ids":["https://openalex.org/I121934306"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048285657","display_name":"Sos \u0421. Agaian","orcid":"https://orcid.org/0000-0003-4601-4507"},"institutions":[{"id":"https://openalex.org/I45438204","display_name":"The University of Texas at San Antonio","ror":"https://ror.org/01kd65564","country_code":"US","type":"education","lineage":["https://openalex.org/I45438204"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sos Agaian","raw_affiliation_strings":["College of Engineering, University of Texas, San Antonio, San Antonio, TX, USA","Coll. of Eng., Univ. of Texas at San Antonio, San Antonio, TX"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Engineering, University of Texas, San Antonio, San Antonio, TX, USA","institution_ids":["https://openalex.org/I45438204"]},{"raw_affiliation_string":"Coll. of Eng., Univ. of Texas at San Antonio, San Antonio, TX","institution_ids":["https://openalex.org/I45438204"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.564,"has_fulltext":false,"cited_by_count":46,"citation_normalized_percentile":{"value":0.84451779,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"685","last_page":"690"},"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/T11019","display_name":"Image Enhancement Techniques","score":0.9984999895095825,"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":0.9983999729156494,"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/peak-signal-to-noise-ratio","display_name":"Peak signal-to-noise ratio","score":0.7314386963844299},{"id":"https://openalex.org/keywords/human-visual-system-model","display_name":"Human visual system model","score":0.7297159433364868},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7024696469306946},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6699883937835693},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6675153970718384},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.6176020503044128},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5761873126029968},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5506830811500549},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.4708264172077179},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.425675630569458},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.42035627365112305},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3891667425632477},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23885953426361084},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16324996948242188}],"concepts":[{"id":"https://openalex.org/C154579607","wikidata":"https://www.wikidata.org/wiki/Q3373850","display_name":"Peak signal-to-noise ratio","level":3,"score":0.7314386963844299},{"id":"https://openalex.org/C160086991","wikidata":"https://www.wikidata.org/wiki/Q5939193","display_name":"Human visual system model","level":3,"score":0.7297159433364868},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7024696469306946},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6699883937835693},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6675153970718384},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.6176020503044128},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5761873126029968},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5506830811500549},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.4708264172077179},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.425675630569458},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.42035627365112305},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3891667425632477},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23885953426361084},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16324996948242188},{"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/icsmc.2008.4811357","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2008.4811357","pdf_url":null,"source":{"id":"https://openalex.org/S4210195764","display_name":"Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics","issn_l":"1062-922X","issn":["1062-922X","2577-1655"],"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Systems, Man and Cybernetics","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":30,"referenced_works":["https://openalex.org/W965694222","https://openalex.org/W1543242897","https://openalex.org/W1964215855","https://openalex.org/W2015703393","https://openalex.org/W2017175959","https://openalex.org/W2019206873","https://openalex.org/W2025635823","https://openalex.org/W2030120195","https://openalex.org/W2039844444","https://openalex.org/W2046119925","https://openalex.org/W2069008682","https://openalex.org/W2076178025","https://openalex.org/W2076293758","https://openalex.org/W2114338738","https://openalex.org/W2125732958","https://openalex.org/W2129829008","https://openalex.org/W2133665775","https://openalex.org/W2133924821","https://openalex.org/W2155475916","https://openalex.org/W2159269332","https://openalex.org/W2161907179","https://openalex.org/W2163425563","https://openalex.org/W2168265015","https://openalex.org/W2286280133","https://openalex.org/W3182211633","https://openalex.org/W4246137935","https://openalex.org/W6654575633","https://openalex.org/W6656981065","https://openalex.org/W6660607626","https://openalex.org/W6669701022"],"related_works":["https://openalex.org/W2315873829","https://openalex.org/W2883512610","https://openalex.org/W2292083403","https://openalex.org/W2183753013","https://openalex.org/W3082444306","https://openalex.org/W2801208768","https://openalex.org/W2895464841","https://openalex.org/W2915340808","https://openalex.org/W142830878","https://openalex.org/W2364766777"],"abstract_inverted_index":{"Objective":[0],"assessment":[1,36],"of":[2,10,33,42,69,95,113,118,139,148],"image":[3,11,58,85,106],"quality":[4,35,41,82],"is":[5,37],"important":[6],"for":[7,19,84,145],"a":[8,45,56,92,146],"number":[9,147],"processing":[12],"applications.":[13],"Similarity":[14,134],"metrics":[15],"have":[16,75],"been":[17,76],"used":[18,78,103],"methods":[20],"such":[21],"as":[22],"automating":[23,25],"compression,":[24],"watermarking,":[26],"and":[27,73,132],"benchmarking":[28],"algorithm":[29,115],"success.":[30],"The":[31,67],"goal":[32],"objective":[34],"to":[38,79,104,128],"quantify":[39,80,105],"the":[40,63,96,110,119,137],"images":[43],"in":[44],"manner":[46],"consistent":[47],"with":[48,116,141],"human":[49,64,81,143],"perception.":[50],"For":[51],"this":[52,88,114],"reason,":[53],"we":[54,90],"introduce":[55],"novel":[57],"similarity":[59],"metric":[60],"based":[61],"on":[62,136],"visual":[65],"system.":[66],"measures":[68],"enhancement":[70],"(EME,":[71],"AME,":[72],"LogAME)":[74],"successfully":[77,101],"perception":[83],"enhancement.":[86],"In":[87],"paper,":[89],"present":[91],"modified":[93],"version":[94],"Logarithmic":[97],"AME":[98],"which":[99],"can":[100],"be":[102],"similarity.":[107],"We":[108],"compare":[109],"quantitative":[111],"assessments":[112],"those":[117],"well":[120],"known":[121],"Mean":[122],"Squared":[123],"Error":[124],"(MSE),":[125],"Peak":[126],"Signal":[127],"Noise":[129],"Ratio":[130],"(PSNR)":[131],"Structural":[133],"(SSIM)":[135],"basis":[138],"correlation":[140],"subjective":[142],"evaluations":[144],"images.":[149]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":6},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":8},{"year":2013,"cited_by_count":9},{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}