{"id":"https://openalex.org/W2035835278","doi":"https://doi.org/10.1117/12.2005153","title":"F-MAD: a feature-based extension of the most apparent distortion algorithm for image quality assessment","display_name":"F-MAD: a feature-based extension of the most apparent distortion algorithm for image quality assessment","publication_year":2013,"publication_date":"2013-02-04","ids":{"openalex":"https://openalex.org/W2035835278","doi":"https://doi.org/10.1117/12.2005153","mag":"2035835278"},"language":"en","primary_location":{"id":"doi:10.1117/12.2005153","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2005153","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":"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/A5100643078","display_name":"Punit Kumar Singh","orcid":"https://orcid.org/0000-0002-3518-5629"},"institutions":[{"id":"https://openalex.org/I4210131712","display_name":"Oklahoma State University Oklahoma City","ror":"https://ror.org/03y1zyv86","country_code":"US","type":"education","lineage":["https://openalex.org/I4210131712"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Punit Singh","raw_affiliation_strings":["Oklahoma State Univ. (United States)","Oklahoma State University (United States)"],"affiliations":[{"raw_affiliation_string":"Oklahoma State Univ. (United States)","institution_ids":["https://openalex.org/I4210131712"]},{"raw_affiliation_string":"Oklahoma State University (United States)","institution_ids":["https://openalex.org/I4210131712"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091097268","display_name":"Damon M. Chandler","orcid":"https://orcid.org/0000-0003-0326-0679"},"institutions":[{"id":"https://openalex.org/I4210131712","display_name":"Oklahoma State University Oklahoma City","ror":"https://ror.org/03y1zyv86","country_code":"US","type":"education","lineage":["https://openalex.org/I4210131712"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Damon M. Chandler","raw_affiliation_strings":["Oklahoma State Univ.  (United States)","Oklahoma State University (United States)"],"affiliations":[{"raw_affiliation_string":"Oklahoma State Univ.  (United States)","institution_ids":["https://openalex.org/I4210131712"]},{"raw_affiliation_string":"Oklahoma State University (United States)","institution_ids":["https://openalex.org/I4210131712"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100643078"],"corresponding_institution_ids":["https://openalex.org/I4210131712"],"apc_list":null,"apc_paid":null,"fwci":0.5529,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.70452188,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"8653","issue":null,"first_page":"86530I","last_page":"86530I"},"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/T11666","display_name":"Color Science and Applications","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9962000250816345,"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/feature","display_name":"Feature (linguistics)","score":0.770423948764801},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6881265044212341},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.6508558988571167},{"id":"https://openalex.org/keywords/peak-signal-to-noise-ratio","display_name":"Peak signal-to-noise ratio","score":0.6086985468864441},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5825912356376648},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.5823335647583008},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5706907510757446},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5324538350105286},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.49809694290161133},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48153001070022583},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4749997854232788},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4576309323310852},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15609219670295715}],"concepts":[{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.770423948764801},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6881265044212341},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.6508558988571167},{"id":"https://openalex.org/C154579607","wikidata":"https://www.wikidata.org/wiki/Q3373850","display_name":"Peak signal-to-noise ratio","level":3,"score":0.6086985468864441},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5825912356376648},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.5823335647583008},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5706907510757446},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5324538350105286},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.49809694290161133},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48153001070022583},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4749997854232788},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4576309323310852},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15609219670295715},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"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:10.1117/12.2005153","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2005153","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"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.665.418","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.665.418","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://vision.okstate.edu/pubs/PN_fmad.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/1","score":0.5600000023841858,"display_name":"No poverty"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W99745189","https://openalex.org/W1580389772","https://openalex.org/W1972348417","https://openalex.org/W1997888167","https://openalex.org/W2009272644","https://openalex.org/W2035005766","https://openalex.org/W2035713052","https://openalex.org/W2046119925","https://openalex.org/W2046484301","https://openalex.org/W2108729336","https://openalex.org/W2109744660","https://openalex.org/W2117117414","https://openalex.org/W2133665775","https://openalex.org/W2144468361","https://openalex.org/W2151541397","https://openalex.org/W2167349140","https://openalex.org/W2171349048","https://openalex.org/W2324971623","https://openalex.org/W3182211633"],"related_works":["https://openalex.org/W4287880334","https://openalex.org/W4366700029","https://openalex.org/W4285230481","https://openalex.org/W3135697610","https://openalex.org/W4385769873","https://openalex.org/W4281634296","https://openalex.org/W4319161863","https://openalex.org/W2183753013","https://openalex.org/W2405106204","https://openalex.org/W2133102185"],"abstract_inverted_index":{"In":[0],"this":[1,145],"paper,":[2],"we":[3],"describe":[4,110],"the":[5,13,122,130,135,139],"results":[6],"of":[7,15,40,65,83,113,153],"a":[8,21,37,87,111],"study":[9],"designed":[10],"to":[11,35,70,124,150],"investigate":[12],"effectiveness":[14],"peak":[16],"signal-to-noise":[17],"ratio":[18],"(PSNR)":[19],"as":[20,74,76],"quality":[22,117],"estimator":[23],"when":[24],"measured":[25,79,96],"in":[26,115],"various":[27],"feature":[28,93,127],"domains.":[29],"Although":[30],"PSNR":[31,43,57,77,114],"is":[32,78,118],"well":[33],"known":[34],"be":[36,47,60],"poor":[38],"predictor":[39],"image":[41,99,132,154],"quality,":[42],"has":[44],"been":[45],"shown":[46],"quite":[48],"effective":[49,61],"for":[50,62,97,129,138],"additive,":[51],"pixel-based":[52],"distortions.":[53],"We":[54,109,142],"hypothesized":[55],"that":[56],"might":[58],"also":[59],"other":[63,71],"types":[64],"distortions":[66],"which":[67,116,125],"induce":[68],"changes":[69],"visual":[72],"features,":[73],"long":[75],"between":[80],"local":[81],"measures":[82],"such":[84],"features.":[85],"Given":[86],"reference":[88,131],"and":[89,107],"distorted":[90,140],"image,":[91],"five":[92],"maps":[94,128,137],"are":[95],"each":[98],"(lightness":[100],"distance,":[101,103],"color":[102],"contrast,":[104],"edge":[105],"strength,":[106],"sharpness).":[108],"variant":[112],"estimated":[119],"based":[120],"on":[121],"extent":[123],"these":[126],"differ":[133],"from":[134],"corresponding":[136],"image.":[141],"demonstrate":[143],"how":[144],"feature-based":[146],"approach":[147],"can":[148],"lead":[149],"improved":[151],"estimators":[152],"quality.":[155]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}