{"id":"https://openalex.org/W2017206056","doi":"https://doi.org/10.1109/icme.2007.4284978","title":"Robust Intensity-Pair Distribution for Image Contrast Enhancement","display_name":"Robust Intensity-Pair Distribution for Image Contrast Enhancement","publication_year":2007,"publication_date":"2007-07-01","ids":{"openalex":"https://openalex.org/W2017206056","doi":"https://doi.org/10.1109/icme.2007.4284978","mag":"2017206056"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2007.4284978","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2007.4284978","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia and Expo, 2007 IEEE International Conference on","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/A5086713730","display_name":"Radu Ciprian Bilcu","orcid":"https://orcid.org/0000-0001-7293-4353"},"institutions":[{"id":"https://openalex.org/I150589677","display_name":"Tampere University of Applied Sciences","ror":"https://ror.org/00bwtjf83","country_code":"FI","type":"education","lineage":["https://openalex.org/I150589677"]},{"id":"https://openalex.org/I186365177","display_name":"Institute of Technology of Cambodia","ror":"https://ror.org/054z67s11","country_code":"KH","type":"education","lineage":["https://openalex.org/I186365177"]},{"id":"https://openalex.org/I2738502077","display_name":"Nokia (Finland)","ror":"https://ror.org/04pkc8m17","country_code":"FI","type":"company","lineage":["https://openalex.org/I2738502077"]}],"countries":["FI","KH"],"is_corresponding":false,"raw_author_name":"Radu Ciprian Bilcu","raw_affiliation_strings":["Multimedia Technologies Laboratory, Nokia Research Center, Tampere, Finland","Multimedia Technol. Lab., Tampere"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Multimedia Technologies Laboratory, Nokia Research Center, Tampere, Finland","institution_ids":["https://openalex.org/I2738502077"]},{"raw_affiliation_string":"Multimedia Technol. Lab., Tampere","institution_ids":["https://openalex.org/I150589677","https://openalex.org/I186365177"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086531981","display_name":"Markku Vehvil\u00e4inen","orcid":null},"institutions":[{"id":"https://openalex.org/I150589677","display_name":"Tampere University of Applied Sciences","ror":"https://ror.org/00bwtjf83","country_code":"FI","type":"education","lineage":["https://openalex.org/I150589677"]},{"id":"https://openalex.org/I186365177","display_name":"Institute of Technology of Cambodia","ror":"https://ror.org/054z67s11","country_code":"KH","type":"education","lineage":["https://openalex.org/I186365177"]},{"id":"https://openalex.org/I2738502077","display_name":"Nokia (Finland)","ror":"https://ror.org/04pkc8m17","country_code":"FI","type":"company","lineage":["https://openalex.org/I2738502077"]}],"countries":["FI","KH"],"is_corresponding":false,"raw_author_name":"Markku Vehvilainen","raw_affiliation_strings":["Multimedia Technologies Laboratory, Nokia Research Center, Tampere, Finland","Multimedia Technol. Lab., Tampere"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Multimedia Technologies Laboratory, Nokia Research Center, Tampere, Finland","institution_ids":["https://openalex.org/I2738502077"]},{"raw_affiliation_string":"Multimedia Technol. Lab., Tampere","institution_ids":["https://openalex.org/I150589677","https://openalex.org/I186365177"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5256,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.57493387,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1627","last_page":"1630"},"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":0.9997000098228455,"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":0.9997000098228455,"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/contrast","display_name":"Contrast (vision)","score":0.6325337886810303},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6312940120697021},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6058087944984436},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5793738961219788},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5746952295303345},{"id":"https://openalex.org/keywords/intensity","display_name":"Intensity (physics)","score":0.5191406607627869},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.517510175704956},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5006084442138672},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4813026487827301},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3500326871871948},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33134371042251587},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.186842143535614},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11825025081634521}],"concepts":[{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.6325337886810303},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6312940120697021},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6058087944984436},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5793738961219788},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5746952295303345},{"id":"https://openalex.org/C93038891","wikidata":"https://www.wikidata.org/wiki/Q1061524","display_name":"Intensity (physics)","level":2,"score":0.5191406607627869},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.517510175704956},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5006084442138672},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4813026487827301},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3500326871871948},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33134371042251587},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.186842143535614},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11825025081634521},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme.2007.4284978","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2007.4284978","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia and Expo, 2007 IEEE International Conference on","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":14,"referenced_works":["https://openalex.org/W1903099452","https://openalex.org/W1993588418","https://openalex.org/W1994391990","https://openalex.org/W2011724828","https://openalex.org/W2017514550","https://openalex.org/W2041777441","https://openalex.org/W2113745526","https://openalex.org/W2139375301","https://openalex.org/W2159040314","https://openalex.org/W2169447236","https://openalex.org/W2324369761","https://openalex.org/W4229523935","https://openalex.org/W6639865950","https://openalex.org/W6677048112"],"related_works":["https://openalex.org/W2069592018","https://openalex.org/W2075740387","https://openalex.org/W2085033728","https://openalex.org/W4285411112","https://openalex.org/W2171299904","https://openalex.org/W2358990940","https://openalex.org/W1647606319","https://openalex.org/W4390494008","https://openalex.org/W2053596378","https://openalex.org/W2922442631"],"abstract_inverted_index":{"Intensity-pair":[0],"distribution":[1,102],"was":[2],"recently":[3],"proposed":[4,127],"to":[5,26,43,57,121],"enhance":[6],"the":[7,28,31,45,58,62,70,83,86,100,105,108,123],"contrast":[8,29],"of":[9,21,30,36,69,77,85,107,125],"a":[10,19,55,73,94],"digital":[11],"image":[12,32],"without":[13],"noise":[14],"amplification.":[15],"In":[16,89],"this":[17,78,90],"technique":[18],"set":[20,35],"expansion":[22,48],"forces":[23,40,51],"are":[24,41,52,111],"generated":[25,53],"increase":[27],"while":[33],"another":[34],"so":[37],"called":[38],"anti-expansion":[39,50],"produced":[42],"eliminate":[44],"noise.":[46],"The":[47],"and":[49,65,80],"applying":[54],"threshold":[56,71],"local":[59],"differences":[60],"between":[61],"current":[63],"pixel":[64],"its":[66],"neighbors.":[67],"Selection":[68],"is":[72],"very":[74],"sensitive":[75],"part":[76],"algorithm":[79],"could":[81],"influence":[82],"quality":[84],"processed":[87],"image.":[88],"paper":[91],"we":[92],"introduce":[93],"novel":[95],"robust":[96],"approach":[97],"based":[98],"on":[99,118],"intensity-pair":[101],"in":[103],"which":[104],"drawbacks":[106],"original":[109],"method":[110,128],"addressed.":[112],"We":[113],"present":[114],"experimental":[115],"results,":[116],"performed":[117],"color":[119],"images,":[120],"show":[122],"performance":[124],"our":[126],"compared":[129],"with":[130],"other":[131],"existing":[132],"approaches.":[133]},"counts_by_year":[{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}