{"id":"https://openalex.org/W2936349151","doi":"https://doi.org/10.1145/3314527.3314529","title":"Illumination Classification based on No-Reference Image Quality Assessment (NR-IQA)","display_name":"Illumination Classification based on No-Reference Image Quality Assessment (NR-IQA)","publication_year":2019,"publication_date":"2019-01-25","ids":{"openalex":"https://openalex.org/W2936349151","doi":"https://doi.org/10.1145/3314527.3314529","mag":"2936349151"},"language":"en","primary_location":{"id":"doi:10.1145/3314527.3314529","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3314527.3314529","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 Asia Pacific Information Technology Conference","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/A5071218185","display_name":"Syed Mohd Zahid Syed Zainal Ariffin","orcid":"https://orcid.org/0000-0002-6612-6015"},"institutions":[{"id":"https://openalex.org/I181397559","display_name":"Asia Pacific University of Technology & Innovation","ror":"https://ror.org/03c52a632","country_code":"MY","type":"education","lineage":["https://openalex.org/I181397559"]}],"countries":["MY"],"is_corresponding":true,"raw_author_name":"Syed Mohd Zahid Syed Zainal Ariffin","raw_affiliation_strings":["Asia Pacific University of Technology & Innovation, Bukit Jalil, Malaysia"],"affiliations":[{"raw_affiliation_string":"Asia Pacific University of Technology & Innovation, Bukit Jalil, Malaysia","institution_ids":["https://openalex.org/I181397559"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012711018","display_name":"Nursuriati Jamil","orcid":"https://orcid.org/0000-0003-4634-9833"},"institutions":[{"id":"https://openalex.org/I82724352","display_name":"Universiti Teknologi MARA","ror":"https://ror.org/05n8tts92","country_code":"MY","type":"education","lineage":["https://openalex.org/I82724352"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Nursuriati Jamil","raw_affiliation_strings":["Universiti Teknologi MARA, Shah Alam, Malaysia"],"affiliations":[{"raw_affiliation_string":"Universiti Teknologi MARA, Shah Alam, Malaysia","institution_ids":["https://openalex.org/I82724352"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5071218185"],"corresponding_institution_ids":["https://openalex.org/I181397559"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.03647487,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"70","last_page":"74"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9965000152587891,"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"}},"topics":[{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9965000152587891,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9936000108718872,"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":0.9890000224113464,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7376294136047363},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.692759096622467},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6851025819778442},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6045801639556885},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.5985317230224609},{"id":"https://openalex.org/keywords/standard-deviation","display_name":"Standard deviation","score":0.5603106617927551},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5513255596160889},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.544215738773346},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.5123051404953003},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.49515190720558167},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.46827220916748047},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3953685462474823},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3870575428009033},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37694695591926575},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.22606554627418518},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09980446100234985}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7376294136047363},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.692759096622467},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6851025819778442},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6045801639556885},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.5985317230224609},{"id":"https://openalex.org/C22679943","wikidata":"https://www.wikidata.org/wiki/Q159375","display_name":"Standard deviation","level":2,"score":0.5603106617927551},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5513255596160889},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.544215738773346},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.5123051404953003},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.49515190720558167},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.46827220916748047},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3953685462474823},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3870575428009033},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37694695591926575},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.22606554627418518},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09980446100234985},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3314527.3314529","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3314527.3314529","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 Asia Pacific Information Technology Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","score":0.4399999976158142,"id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W289976167","https://openalex.org/W1647231196","https://openalex.org/W1965620683","https://openalex.org/W1971155098","https://openalex.org/W1979536500","https://openalex.org/W1982471090","https://openalex.org/W1984525874","https://openalex.org/W1992158963","https://openalex.org/W1995875735","https://openalex.org/W2024560952","https://openalex.org/W2029022513","https://openalex.org/W2052589371","https://openalex.org/W2062690810","https://openalex.org/W2146353910","https://openalex.org/W2373635655","https://openalex.org/W2419857373","https://openalex.org/W2519954713","https://openalex.org/W2560021068","https://openalex.org/W2561315135","https://openalex.org/W2570968423","https://openalex.org/W2621197300","https://openalex.org/W2761601495","https://openalex.org/W2766499135","https://openalex.org/W2767658511","https://openalex.org/W2771390659","https://openalex.org/W2892907566"],"related_works":["https://openalex.org/W2165912799","https://openalex.org/W2735662278","https://openalex.org/W2382615723","https://openalex.org/W4311804456","https://openalex.org/W1987484445","https://openalex.org/W2623658258","https://openalex.org/W2143413548","https://openalex.org/W1969219540","https://openalex.org/W2370459448","https://openalex.org/W2056801006"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"an":[5,9],"approach":[6],"to":[7,38,95,106],"categorize":[8,39,108],"image's":[10],"illumination":[11,65,93,97,153],"using":[12,47,111],"no-reference":[13],"image":[14,110],"quality":[15],"assessment":[16],"metric":[17,21,81],"(NR-IQA).":[18],"Two":[19],"NR-IQA":[20],"(image":[22],"entropy":[23],"(IE)":[24],"and":[25,29,52,70,86,99,128],"standard":[26],"deviation":[27],"(SD),":[28],"mean":[30],"of":[31,76,83,136,142],"the":[32,40,59,77,80,109,139],"pixel":[33],"value":[34,82],"(Mean)":[35],"were":[36],"used":[37,113],"illumination.":[41],"The":[42],"proposed":[43],"technique":[44],"is":[45,145],"tested":[46],"DIAST":[48],"Variability":[49],"Illuminated":[50],"Thermal":[51],"Visible":[53],"Ear":[54],"Images":[55,57],"Datasets.":[56],"in":[58],"dataset":[60],"are":[61,88],"categorized":[62],"into":[63],"three":[64],"categories":[66],"namely":[67],"dark,":[68],"average":[69,96],"bright.":[71],"Based":[72],"on":[73,134,152],"quantitative":[74],"analysis":[75],"database":[78],"images,":[79],"IE,":[84],"SD":[85],"Mean":[87],"always":[89],"highest":[90,140],"for":[91,149],"bright":[92],"compared":[94],"(intermediate)":[98],"dark":[100],"(lowest).":[101],"Further":[102],"experiment":[103],"was":[104],"done":[105],"automatically":[107],"commonly":[112],"classifiers,":[114],"k-Nearest":[115],"Neighbour":[116],"(k-NN),":[117],"Multinomial":[118],"Regression":[119],"(MR),":[120],"Support":[121],"Vector":[122],"Machine":[123],"(SVM),":[124],"Na\u00efve":[125],"Bayes":[126],"(NB)":[127],"Random":[129],"Forest":[130],"(RF).":[131],"Classification":[132],"based":[133],"combination":[135],"IE+SD+Mean":[137],"achieve":[138],"accuracy":[141],"83.92%.":[143],"This":[144],"a":[146],"promising":[147],"result":[148],"further":[150],"study":[151],"classification.":[154]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}