{"id":"https://openalex.org/W2293434006","doi":"https://doi.org/10.1109/icip.2015.7351583","title":"Robust contrast enhancement of noisy low-light images: Denoising-enhancement-completion","display_name":"Robust contrast enhancement of noisy low-light images: Denoising-enhancement-completion","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W2293434006","doi":"https://doi.org/10.1109/icip.2015.7351583","mag":"2293434006"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2015.7351583","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7351583","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Image Processing (ICIP)","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/A5033527623","display_name":"Jaemoon Lim","orcid":null},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jaemoon Lim","raw_affiliation_strings":["School of Electrical Engineering, Korea University, Seoul, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Korea University, Seoul, Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008393937","display_name":"Jin Hwan Kim","orcid":"https://orcid.org/0000-0002-1632-2421"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jin-Hwan Kim","raw_affiliation_strings":["Korea University, Seongbuk-gu, Seoul, KR"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Korea University, Seongbuk-gu, Seoul, KR","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073397129","display_name":"Jae-Young Sim","orcid":"https://orcid.org/0000-0003-2636-7444"},"institutions":[{"id":"https://openalex.org/I48566637","display_name":"Ulsan National Institute of Science and Technology","ror":"https://ror.org/017cjz748","country_code":"KR","type":"education","lineage":["https://openalex.org/I48566637"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jae-Young Sim","raw_affiliation_strings":["School of Electrical and computers Engineering, Ulsan National Institute of Science and Technology, Ulsan, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and computers Engineering, Ulsan National Institute of Science and Technology, Ulsan, Korea","institution_ids":["https://openalex.org/I48566637"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063748248","display_name":"Chang\u2010Su Kim","orcid":"https://orcid.org/0000-0002-4276-1831"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Chang-Su Kim","raw_affiliation_strings":["Korea University, Seongbuk-gu, Seoul, KR"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Korea University, Seongbuk-gu, Seoul, KR","institution_ids":["https://openalex.org/I197347611"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4131","last_page":"4135"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","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/T11019","display_name":"Image Enhancement Techniques","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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9995999932289124,"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":0.9995999932289124,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7183970808982849},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6816319823265076},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6609289050102234},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6075467467308044},{"id":"https://openalex.org/keywords/histogram-equalization","display_name":"Histogram equalization","score":0.603900134563446},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5778601765632629},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5739601254463196},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.47554799914360046},{"id":"https://openalex.org/keywords/image-noise","display_name":"Image noise","score":0.4551945924758911},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.4282990097999573},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.4248216152191162},{"id":"https://openalex.org/keywords/adaptive-histogram-equalization","display_name":"Adaptive histogram equalization","score":0.41346004605293274},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4098418354988098},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.32042932510375977}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7183970808982849},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6816319823265076},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6609289050102234},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6075467467308044},{"id":"https://openalex.org/C136943445","wikidata":"https://www.wikidata.org/wiki/Q1970240","display_name":"Histogram equalization","level":4,"score":0.603900134563446},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5778601765632629},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5739601254463196},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.47554799914360046},{"id":"https://openalex.org/C35772409","wikidata":"https://www.wikidata.org/wiki/Q1323086","display_name":"Image noise","level":3,"score":0.4551945924758911},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.4282990097999573},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.4248216152191162},{"id":"https://openalex.org/C30387639","wikidata":"https://www.wikidata.org/wiki/Q4680744","display_name":"Adaptive histogram equalization","level":5,"score":0.41346004605293274},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4098418354988098},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.32042932510375977}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2015.7351583","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7351583","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:scholarworks.unist.ac.kr:201301/35478","is_oa":false,"landing_page_url":"https://ieeexplore.ieee.org/document/7351583/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401118","display_name":"Scholarworks@UNIST (Ulsan National Institute of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I48566637","host_organization_name":"Ulsan National Institute of Science and Technology","host_organization_lineage":["https://openalex.org/I48566637"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"CONFERENCE"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1537880983","https://openalex.org/W1575230410","https://openalex.org/W1600176996","https://openalex.org/W1970199160","https://openalex.org/W1990518036","https://openalex.org/W1996326832","https://openalex.org/W2000594943","https://openalex.org/W2008028141","https://openalex.org/W2011954520","https://openalex.org/W2017399967","https://openalex.org/W2031489346","https://openalex.org/W2035807489","https://openalex.org/W2056370875","https://openalex.org/W2057995993","https://openalex.org/W2061501622","https://openalex.org/W2112515787","https://openalex.org/W2133665775","https://openalex.org/W2165395308","https://openalex.org/W2324971623","https://openalex.org/W6632246447","https://openalex.org/W6635680467","https://openalex.org/W6684295950","https://openalex.org/W6701249984"],"related_works":["https://openalex.org/W2057981026","https://openalex.org/W2256021896","https://openalex.org/W2122866860","https://openalex.org/W1994424557","https://openalex.org/W2165297163","https://openalex.org/W2134986978","https://openalex.org/W2398368608","https://openalex.org/W1583737874","https://openalex.org/W2024449420","https://openalex.org/W3084145657"],"abstract_inverted_index":{"A":[0],"robust":[1],"contrast":[2,31,85,126],"enhancement":[3],"algorithm":[4,120],"for":[5,49],"noisy":[6,98],"low-light":[7,24,128],"images,":[8],"called":[9],"the":[10,27,30,46,54,57,61,78,84,87,97,101,117,125],"denoising-enhancement-completion":[11],"(DEC),":[12],"is":[13],"proposed":[14,118],"in":[15,23,39],"this":[16],"work.":[17],"We":[18,76],"observe":[19],"that":[20,116],"noise":[21,37,122],"components":[22,38],"images":[25,129],"degrade":[26],"performance":[28],"of":[29,70,86,96,127],"enhancement.":[32],"Therefore,":[33],"we":[34,44,92],"first":[35],"reduce":[36],"an":[40],"input":[41,58],"image.":[42],"Then,":[43],"compute":[45],"reliability":[47],"weight":[48],"each":[50,66],"pixel,":[51],"by":[52,106],"measuring":[53],"difference":[55],"between":[56],"image":[59],"and":[60,64,123],"denoised":[62],"image,":[63],"categorize":[65],"pixel":[67,104],"into":[68],"one":[69],"two":[71],"classes:":[72],"noise-free":[73,88,103],"or":[74],"noisy.":[75],"perform":[77],"selective":[79],"histogram":[80],"equalization":[81],"to":[82],"enhance":[83],"pixels":[89,99],"only.":[90],"Finally,":[91],"restore":[93],"missing":[94],"values":[95],"using":[100],"enhanced":[102],"values,":[105],"employing":[107],"a":[108],"low-rank":[109],"matrix":[110],"completion":[111],"scheme.":[112],"Experimental":[113],"results":[114],"show":[115],"DEC":[119],"removes":[121],"enhances":[124],"more":[130],"effectively":[131],"than":[132],"conventional":[133],"algorithms.":[134]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}