{"id":"https://openalex.org/W2084993416","doi":"https://doi.org/10.1109/icmlc.2014.7009120","title":"Enhanced image quality evaluation based on SIFT feature","display_name":"Enhanced image quality evaluation based on SIFT feature","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2084993416","doi":"https://doi.org/10.1109/icmlc.2014.7009120","mag":"2084993416"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc.2014.7009120","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2014.7009120","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Conference on Machine Learning and Cybernetics","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/A5091831124","display_name":"Guanglei Wen","orcid":null},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]},{"id":"https://openalex.org/I23632641","display_name":"Shanghai University of Electric Power","ror":"https://ror.org/02w4tny03","country_code":"CN","type":"education","lineage":["https://openalex.org/I23632641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guang-Lei Wen","raw_affiliation_strings":["College of Automation Engineering, Shanghai University of Electrical Power, Shanghai, China","College of Automation Engineering, Shanghai University of Electrical Power, 200090, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Automation Engineering, Shanghai University of Electrical Power, Shanghai, China","institution_ids":["https://openalex.org/I23632641"]},{"raw_affiliation_string":"College of Automation Engineering, Shanghai University of Electrical Power, 200090, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100412491","display_name":"Gang Liu","orcid":"https://orcid.org/0000-0003-4143-828X"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]},{"id":"https://openalex.org/I23632641","display_name":"Shanghai University of Electric Power","ror":"https://ror.org/02w4tny03","country_code":"CN","type":"education","lineage":["https://openalex.org/I23632641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Liu","raw_affiliation_strings":["College of Automation Engineering, Shanghai University of Electrical Power, Shanghai, China","College of Automation Engineering, Shanghai University of Electrical Power, 200090, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Automation Engineering, Shanghai University of Electrical Power, Shanghai, China","institution_ids":["https://openalex.org/I23632641"]},{"raw_affiliation_string":"College of Automation Engineering, Shanghai University of Electrical Power, 200090, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100934739","display_name":"Siguo Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210126065","display_name":"Shanghai Electric (China)","ror":"https://ror.org/0314qy595","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210126065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Si-Guo Zheng","raw_affiliation_strings":["Economic Research Institute, State Grid Shanghai Municipal Electric Power Company, shanghai, China","Economic Research Institute, State Grid Shanghai Municipal Electric Power Company, 20002, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Economic Research Institute, State Grid Shanghai Municipal Electric Power Company, shanghai, China","institution_ids":["https://openalex.org/I4210126065"]},{"raw_affiliation_string":"Economic Research Institute, State Grid Shanghai Municipal Electric Power Company, 20002, China","institution_ids":["https://openalex.org/I4210126065"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021481236","display_name":"Shangkun Ning","orcid":"https://orcid.org/0000-0002-6614-6315"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]},{"id":"https://openalex.org/I23632641","display_name":"Shanghai University of Electric Power","ror":"https://ror.org/02w4tny03","country_code":"CN","type":"education","lineage":["https://openalex.org/I23632641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shang-Kun Ning","raw_affiliation_strings":["College of Automation Engineering, Shanghai University of Electrical Power, Shanghai, China","College of Automation Engineering, Shanghai University of Electrical Power, 200090, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Automation Engineering, Shanghai University of Electrical Power, Shanghai, China","institution_ids":["https://openalex.org/I23632641"]},{"raw_affiliation_string":"College of Automation Engineering, Shanghai University of Electrical Power, 200090, China","institution_ids":["https://openalex.org/I113940042"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4587,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.71438949,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"3642","issue":null,"first_page":"221","last_page":"226"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9990000128746033,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9990000128746033,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9987999796867371,"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":0.998199999332428,"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/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.8579736948013306},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7750151753425598},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.62773597240448},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5840749740600586},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5777834057807922},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.570923924446106},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5617109537124634},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.5429695248603821},{"id":"https://openalex.org/keywords/standard-deviation","display_name":"Standard deviation","score":0.5181052088737488},{"id":"https://openalex.org/keywords/color-constancy","display_name":"Color constancy","score":0.4859965741634369},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.45703282952308655},{"id":"https://openalex.org/keywords/image-enhancement","display_name":"Image enhancement","score":0.4496217966079712},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.4385811388492584},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.418066143989563},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28730010986328125},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17288252711296082}],"concepts":[{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.8579736948013306},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7750151753425598},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.62773597240448},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5840749740600586},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5777834057807922},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.570923924446106},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5617109537124634},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.5429695248603821},{"id":"https://openalex.org/C22679943","wikidata":"https://www.wikidata.org/wiki/Q159375","display_name":"Standard deviation","level":2,"score":0.5181052088737488},{"id":"https://openalex.org/C187888035","wikidata":"https://www.wikidata.org/wiki/Q2563885","display_name":"Color constancy","level":3,"score":0.4859965741634369},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.45703282952308655},{"id":"https://openalex.org/C3017601658","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image enhancement","level":3,"score":0.4496217966079712},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.4385811388492584},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.418066143989563},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28730010986328125},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17288252711296082},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmlc.2014.7009120","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2014.7009120","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Conference on Machine Learning 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":4,"referenced_works":["https://openalex.org/W2042243448","https://openalex.org/W2124386111","https://openalex.org/W2151103935","https://openalex.org/W2164847484"],"related_works":["https://openalex.org/W3171988471","https://openalex.org/W2354474350","https://openalex.org/W2385349140","https://openalex.org/W4391146534","https://openalex.org/W2412212709","https://openalex.org/W4387489417","https://openalex.org/W3109803620","https://openalex.org/W3087276618","https://openalex.org/W2742422335","https://openalex.org/W2379656739"],"abstract_inverted_index":{"In":[0,40],"the":[1,14,17,21,43,74,84],"study":[2],"of":[3,16,53],"Retinex":[4,26],"image":[5,18,27],"enhancement":[6,28],"methods,":[7],"there":[8],"is":[9],"a":[10],"need":[11],"to":[12,66],"determine":[13],"quality":[15,56],"enhancement.":[19],"But":[20],"images":[22],"obtained":[23],"through":[24],"different":[25],"methods":[29],"were":[30,63],"quite":[31],"similar.":[32],"Thus,":[33],"subjective":[34],"evaluation":[35,52,57],"criteria":[36],"are":[37,47,71],"not":[38],"reliable.":[39],"this":[41],"paper,":[42],"SIFT":[44,61],"feature":[45],"points":[46],"presented":[48],"as":[49],"an":[50],"objective":[51],"images.":[54],"Image":[55],"method":[58],"based":[59],"on":[60],"features":[62],"turned":[64],"out":[65],"be":[67],"feasible.":[68],"Experimental":[69],"results":[70],"consistent":[72],"with":[73],"conclusions":[75],"drawn":[76],"by":[77],"synthesizing":[78],"information":[79],"entropy,":[80],"standard":[81],"deviation,":[82],"and":[83],"mean":[85],"squared":[86],"error.":[87]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
