{"id":"https://openalex.org/W2295637579","doi":"https://doi.org/10.1109/icip.2015.7351344","title":"Contrast enhancement of back-light images via a regional rank-1 constraint","display_name":"Contrast enhancement of back-light images via a regional rank-1 constraint","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W2295637579","doi":"https://doi.org/10.1109/icip.2015.7351344","mag":"2295637579"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2015.7351344","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7351344","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":"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/A5011633284","display_name":"Ja-Won Seo","orcid":"https://orcid.org/0000-0002-4073-0484"},"institutions":[{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"company","lineage":["https://openalex.org/I2250650973"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Ja-Won Seo","raw_affiliation_strings":["DMC R&D Center, Samsung Electronics, Suwon-si, Gyeonggi-do, Korea"],"affiliations":[{"raw_affiliation_string":"DMC R&D Center, Samsung Electronics, Suwon-si, Gyeonggi-do, Korea","institution_ids":["https://openalex.org/I2250650973"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043762193","display_name":"Seong Dae Kim","orcid":"https://orcid.org/0000-0001-8077-2403"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seong Dae Kim","raw_affiliation_strings":["Dep. of Electrical Engineering, KAIST, Yuseong-gu, Daejeon, Korea"],"affiliations":[{"raw_affiliation_string":"Dep. of Electrical Engineering, KAIST, Yuseong-gu, Daejeon, Korea","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5011633284"],"corresponding_institution_ids":["https://openalex.org/I2250650973"],"apc_list":null,"apc_paid":null,"fwci":0.1841,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.61302804,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"11","issue":null,"first_page":"2955","last_page":"2959"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":1.0,"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":1.0,"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":0.9969000220298767,"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":0.9952999949455261,"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":0.7880771160125732},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.7799085974693298},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.747588038444519},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6668498516082764},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6488799452781677},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6041006445884705},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5036649107933044},{"id":"https://openalex.org/keywords/light-intensity","display_name":"Light intensity","score":0.4548904597759247},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2711601257324219},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.20512604713439941},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08667099475860596}],"concepts":[{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.7880771160125732},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7799085974693298},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.747588038444519},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6668498516082764},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6488799452781677},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6041006445884705},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5036649107933044},{"id":"https://openalex.org/C3020368824","wikidata":"https://www.wikidata.org/wiki/Q6546192","display_name":"Light intensity","level":2,"score":0.4548904597759247},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2711601257324219},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.20512604713439941},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08667099475860596},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2015.7351344","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7351344","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"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.6200000047683716,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1583737874","https://openalex.org/W2016622085","https://openalex.org/W2058333183","https://openalex.org/W2067327056","https://openalex.org/W2073751678","https://openalex.org/W2130724993","https://openalex.org/W2147125817","https://openalex.org/W2150721269","https://openalex.org/W2159040314","https://openalex.org/W2164847484","https://openalex.org/W2169447236","https://openalex.org/W2170563037"],"related_works":["https://openalex.org/W2069592018","https://openalex.org/W2075740387","https://openalex.org/W3135697610","https://openalex.org/W2085033728","https://openalex.org/W4285411112","https://openalex.org/W2171299904","https://openalex.org/W2358990940","https://openalex.org/W1647606319","https://openalex.org/W2922442631","https://openalex.org/W2093931120"],"abstract_inverted_index":{"In":[0,91],"this":[1,48,68],"paper,":[2],"we":[3],"propose":[4],"a":[5,54,62],"novel":[6],"approach":[7,52],"for":[8],"enhancing":[9],"the":[10,24,35,39,50,70,73,92,94,97,107],"contrast":[11,17,71],"of":[12,38,72,96],"back-light":[13,43,74],"images.":[14,44],"Although":[15],"many":[16],"enhancement":[18],"methods":[19],"have":[20],"been":[21],"proposed":[22,51,98],"in":[23,33,42],"literatures,":[25],"they":[26],"are":[27],"still":[28],"prone":[29],"to":[30],"fail":[31],"especially":[32],"restoring":[34],"textural":[36],"details":[37],"under-exposed":[40],"regions":[41],"To":[45],"cope":[46],"with":[47,106],"problem,":[49],"employs":[53],"new":[55],"pixel-wise":[56],"gain":[57],"correction":[58],"scheme":[59],"that":[60],"adopts":[61],"regional":[63],"rank-1":[64],"constraint.":[65],"Based":[66],"on":[67],"scheme,":[69],"image":[75],"is":[76,100],"enhanced":[77],"notably":[78],"while":[79],"allowing":[80],"smooth":[81],"intensity":[82,86],"changes":[83],"and":[84,103],"suppressing":[85],"inversions":[87],"around":[88],"adjacent":[89],"pixels.":[90],"experiments,":[93],"effectiveness":[95],"method":[99],"demonstrated":[101],"qualitatively":[102],"quantitatively":[104],"comparing":[105],"state-of-the-art":[108],"methods.":[109]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
