{"id":"https://openalex.org/W2995081268","doi":"https://doi.org/10.1109/tip.2019.2958144","title":"A Novel Retinex-Based Fractional-Order Variational Model for Images With Severely Low Light","display_name":"A Novel Retinex-Based Fractional-Order Variational Model for Images With Severely Low Light","publication_year":2019,"publication_date":"2019-12-12","ids":{"openalex":"https://openalex.org/W2995081268","doi":"https://doi.org/10.1109/tip.2019.2958144","mag":"2995081268","pmid":"https://pubmed.ncbi.nlm.nih.gov/31841409"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2019.2958144","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2019.2958144","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5063687318","display_name":"Zhihao Gu","orcid":"https://orcid.org/0000-0002-2004-6431"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhihao Gu","raw_affiliation_strings":["School of Mathematical Sciences, East China Normal University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010406288","display_name":"Fang Li","orcid":"https://orcid.org/0000-0001-6804-2651"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fang Li","raw_affiliation_strings":["Shanghai Key Laboratory of PMMP, School of Mathematical Sciences, East China Normal University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of PMMP, School of Mathematical Sciences, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044588347","display_name":"Faming Fang","orcid":"https://orcid.org/0000-0003-4511-4813"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Faming Fang","raw_affiliation_strings":["Shanghai Key Laboratory of Multidimensional Information Processing, School of Computer Science and Technology, East China Normal University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Multidimensional Information Processing, School of Computer Science and Technology, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060120202","display_name":"Guixu Zhang","orcid":"https://orcid.org/0000-0003-4720-6607"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guixu Zhang","raw_affiliation_strings":["Shanghai Key Laboratory of Multidimensional Information Processing, School of Computer Science and Technology, East China Normal University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Multidimensional Information Processing, School of Computer Science and Technology, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5063687318"],"corresponding_institution_ids":["https://openalex.org/I66867065"],"apc_list":null,"apc_paid":null,"fwci":4.4954,"has_fulltext":false,"cited_by_count":125,"citation_normalized_percentile":{"value":0.95781908,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"29","issue":null,"first_page":"3239","last_page":"3253"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9993000030517578,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9993000030517578,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9991999864578247,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.996999979019165,"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/color-constancy","display_name":"Color constancy","score":0.8774323463439941},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.7737866044044495},{"id":"https://openalex.org/keywords/piecewise","display_name":"Piecewise","score":0.6964023113250732},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.552604079246521},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5365720987319946},{"id":"https://openalex.org/keywords/reflectivity","display_name":"Reflectivity","score":0.5013425350189209},{"id":"https://openalex.org/keywords/total-variation-denoising","display_name":"Total variation denoising","score":0.44384145736694336},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43202197551727295},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.40242719650268555},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3343289792537689},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.32769519090652466},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.1389661729335785},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.12050965428352356}],"concepts":[{"id":"https://openalex.org/C187888035","wikidata":"https://www.wikidata.org/wiki/Q2563885","display_name":"Color constancy","level":3,"score":0.8774323463439941},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.7737866044044495},{"id":"https://openalex.org/C164660894","wikidata":"https://www.wikidata.org/wiki/Q2037833","display_name":"Piecewise","level":2,"score":0.6964023113250732},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.552604079246521},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5365720987319946},{"id":"https://openalex.org/C108597893","wikidata":"https://www.wikidata.org/wiki/Q663650","display_name":"Reflectivity","level":2,"score":0.5013425350189209},{"id":"https://openalex.org/C207282899","wikidata":"https://www.wikidata.org/wiki/Q7828156","display_name":"Total variation denoising","level":3,"score":0.44384145736694336},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43202197551727295},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40242719650268555},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3343289792537689},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.32769519090652466},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.1389661729335785},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.12050965428352356},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2019.2958144","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2019.2958144","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:31841409","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31841409","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2469445726","display_name":null,"funder_award_id":"61871185","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5391332462","display_name":null,"funder_award_id":"61731009","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6348689744","display_name":null,"funder_award_id":"18dz2271000","funder_id":"https://openalex.org/F4320321885","funder_display_name":"Science and Technology Commission of Shanghai Municipality"},{"id":"https://openalex.org/G7145166970","display_name":null,"funder_award_id":"11671002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321885","display_name":"Science and Technology Commission of Shanghai Municipality","ror":"https://ror.org/03kt66j61"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1605182429","https://openalex.org/W1846534543","https://openalex.org/W1919852759","https://openalex.org/W1963563982","https://openalex.org/W1965952683","https://openalex.org/W1990675808","https://openalex.org/W1994794884","https://openalex.org/W2004498958","https://openalex.org/W2011592399","https://openalex.org/W2029262840","https://openalex.org/W2041108420","https://openalex.org/W2054814429","https://openalex.org/W2076205488","https://openalex.org/W2088748973","https://openalex.org/W2102166818","https://openalex.org/W2121627057","https://openalex.org/W2121927366","https://openalex.org/W2159871081","https://openalex.org/W2164278908","https://openalex.org/W2164847484","https://openalex.org/W2321199736","https://openalex.org/W2468596194","https://openalex.org/W2601040106","https://openalex.org/W2764975447","https://openalex.org/W2766802800","https://openalex.org/W2791710889","https://openalex.org/W2904327298","https://openalex.org/W2963101071","https://openalex.org/W3101457173","https://openalex.org/W4292363360"],"related_works":["https://openalex.org/W2588406281","https://openalex.org/W4296900887","https://openalex.org/W1605636162","https://openalex.org/W2344001031","https://openalex.org/W219947092","https://openalex.org/W2756378021","https://openalex.org/W4292601995","https://openalex.org/W2890366747","https://openalex.org/W2037789795","https://openalex.org/W2613828789"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,33],"propose":[4],"a":[5],"novel":[6],"Retinex-based":[7,109],"fractional-order":[8,43],"variational":[9],"model":[10],"for":[11],"severely":[12],"low-light":[13],"images.":[14],"The":[15,63],"proposed":[16,67,103,118],"method":[17,68,104],"is":[18,95],"more":[19,59,96],"flexible":[20],"in":[21,36,77],"controlling":[22],"the":[23,27,37,42,50,54,66,78,88,92,102,114,117],"regularization":[24,30,47],"extent":[25],"than":[26],"existing":[28],"integer-order":[29],"methods.":[31,110],"Specifically,":[32],"decompose":[34],"directly":[35],"image":[38],"domain":[39],"and":[40,53],"perform":[41],"gradient":[44],"total":[45],"variation":[46],"on":[48],"both":[49],"reflectance":[51],"component":[52,56],"illumination":[55,82,94],"to":[57],"get":[58],"appropriate":[60],"estimated":[61,79,89,93],"results.":[62],"merits":[64],"of":[65,116],"are":[69,75,84],"as":[70],"follows:":[71],"1)":[72],"small-magnitude":[73],"details":[74],"maintained":[76],"reflectance.":[80,90],"2)":[81],"components":[83],"effectively":[85],"removed":[86],"from":[87],"3)":[91],"likely":[97],"piecewise":[98],"smooth.":[99],"We":[100],"compare":[101],"with":[105],"other":[106],"closely":[107],"related":[108],"Experimental":[111],"results":[112],"demonstrate":[113],"effectiveness":[115],"method.":[119]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":35},{"year":2024,"cited_by_count":23},{"year":2023,"cited_by_count":22},{"year":2022,"cited_by_count":30},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":5}],"updated_date":"2026-04-15T08:11:43.952461","created_date":"2025-10-10T00:00:00"}
