{"id":"https://openalex.org/W2515115425","doi":"https://doi.org/10.1109/icip.2016.7533111","title":"Effective color correction pipeline for a noisy image","display_name":"Effective color correction pipeline for a noisy image","publication_year":2016,"publication_date":"2016-08-17","ids":{"openalex":"https://openalex.org/W2515115425","doi":"https://doi.org/10.1109/icip.2016.7533111","mag":"2515115425"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2016.7533111","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7533111","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 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/A5104151668","display_name":"Kenta Takahashi","orcid":null},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kenta Takahashi","raw_affiliation_strings":["Tokyo Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokyo Institute of Technology","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039862436","display_name":"Yusuke Monno","orcid":"https://orcid.org/0000-0001-6733-3406"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yusuke Monno","raw_affiliation_strings":["Tokyo Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokyo Institute of Technology","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040292386","display_name":"Masayuki Tanaka","orcid":"https://orcid.org/0000-0002-5756-1904"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masayuki Tanaka","raw_affiliation_strings":["Tokyo Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokyo Institute of Technology","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024453747","display_name":"Masatoshi Okutomi","orcid":"https://orcid.org/0000-0001-5787-0742"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masatoshi Okutomi","raw_affiliation_strings":["Tokyo Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokyo Institute of Technology","institution_ids":["https://openalex.org/I114531698"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8451,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.80832017,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"3963","issue":null,"first_page":"4002","last_page":"4006"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998000264167786,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998000264167786,"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":0.9987999796867371,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9987999796867371,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/color-correction","display_name":"Color correction","score":0.7740198373794556},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.7706234455108643},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7301675081253052},{"id":"https://openalex.org/keywords/color-space","display_name":"Color space","score":0.709260106086731},{"id":"https://openalex.org/keywords/color-balance","display_name":"Color balance","score":0.7004507780075073},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.691706657409668},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.672309398651123},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.623557984828949},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6157439947128296},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5766525268554688},{"id":"https://openalex.org/keywords/demosaicing","display_name":"Demosaicing","score":0.5687096118927002},{"id":"https://openalex.org/keywords/rgb-color-space","display_name":"RGB color space","score":0.5392021536827087},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5017166137695312},{"id":"https://openalex.org/keywords/colors-of-noise","display_name":"Colors of noise","score":0.4827660620212555},{"id":"https://openalex.org/keywords/color-histogram","display_name":"Color histogram","score":0.4702519178390503},{"id":"https://openalex.org/keywords/color-depth","display_name":"Color depth","score":0.45116758346557617},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.44981980323791504},{"id":"https://openalex.org/keywords/color-quantization","display_name":"Color quantization","score":0.44544920325279236},{"id":"https://openalex.org/keywords/color-normalization","display_name":"Color normalization","score":0.4271736145019531},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3021334707736969},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.25557294487953186},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2451547384262085}],"concepts":[{"id":"https://openalex.org/C2779495555","wikidata":"https://www.wikidata.org/wiki/Q5148596","display_name":"Color correction","level":3,"score":0.7740198373794556},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.7706234455108643},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7301675081253052},{"id":"https://openalex.org/C2961294","wikidata":"https://www.wikidata.org/wiki/Q166863","display_name":"Color space","level":3,"score":0.709260106086731},{"id":"https://openalex.org/C159784718","wikidata":"https://www.wikidata.org/wiki/Q182571","display_name":"Color balance","level":5,"score":0.7004507780075073},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.691706657409668},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.672309398651123},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.623557984828949},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6157439947128296},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5766525268554688},{"id":"https://openalex.org/C27624317","wikidata":"https://www.wikidata.org/wiki/Q263499","display_name":"Demosaicing","level":5,"score":0.5687096118927002},{"id":"https://openalex.org/C84216515","wikidata":"https://www.wikidata.org/wiki/Q375677","display_name":"RGB color space","level":5,"score":0.5392021536827087},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5017166137695312},{"id":"https://openalex.org/C114996537","wikidata":"https://www.wikidata.org/wiki/Q4854529","display_name":"Colors of noise","level":3,"score":0.4827660620212555},{"id":"https://openalex.org/C12043971","wikidata":"https://www.wikidata.org/wiki/Q2636542","display_name":"Color histogram","level":5,"score":0.4702519178390503},{"id":"https://openalex.org/C91522604","wikidata":"https://www.wikidata.org/wiki/Q690110","display_name":"Color depth","level":5,"score":0.45116758346557617},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.44981980323791504},{"id":"https://openalex.org/C173752661","wikidata":"https://www.wikidata.org/wiki/Q1396414","display_name":"Color quantization","level":5,"score":0.44544920325279236},{"id":"https://openalex.org/C44404184","wikidata":"https://www.wikidata.org/wiki/Q5148620","display_name":"Color normalization","level":5,"score":0.4271736145019531},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3021334707736969},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.25557294487953186},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2451547384262085},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"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/icip.2016.7533111","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7533111","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","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":24,"referenced_works":["https://openalex.org/W17643439","https://openalex.org/W612428248","https://openalex.org/W1565732857","https://openalex.org/W1970320089","https://openalex.org/W1994616623","https://openalex.org/W2016150650","https://openalex.org/W2017747407","https://openalex.org/W2032831032","https://openalex.org/W2033230679","https://openalex.org/W2033786027","https://openalex.org/W2054020844","https://openalex.org/W2056370875","https://openalex.org/W2059150094","https://openalex.org/W2072445211","https://openalex.org/W2083799719","https://openalex.org/W2088962545","https://openalex.org/W2116559362","https://openalex.org/W2143802412","https://openalex.org/W2144148623","https://openalex.org/W2295904998","https://openalex.org/W2388643539","https://openalex.org/W2548580662","https://openalex.org/W6600697540","https://openalex.org/W6665317264"],"related_works":["https://openalex.org/W2094705558","https://openalex.org/W2734928352","https://openalex.org/W1969294188","https://openalex.org/W1551725644","https://openalex.org/W1516843231","https://openalex.org/W2539069916","https://openalex.org/W2185464604","https://openalex.org/W2160919717","https://openalex.org/W2031404214","https://openalex.org/W1981206111"],"abstract_inverted_index":{"Color":[0],"correction":[1,30,43,58,73,79,86,93,160],"is":[2,31,115],"an":[3,55,139],"essential":[4],"image":[5,48,98,147],"processing":[6],"operation":[7],"that":[8,88,156],"transforms":[9],"a":[10,16,41,61],"camera-dependent":[11],"RGB":[12,38],"color":[13,18,26,29,42,57,72,78,85,92,120,145,159],"space":[14],"to":[15],"standard":[17],"space,":[19],"e.g.,":[20],"the":[21,24,36,71,77,91,101,105,110,113,119,124,134,144,157],"XYZ":[22],"or":[23],"sRGB":[25],"space.":[27],"The":[28,64],"typically":[32],"performed":[33],"by":[34,40],"multiplying":[35],"camera":[37],"values":[39],"matrix,":[44],"which":[45],"often":[46],"amplifies":[47],"noise.":[49],"In":[50,76,133],"this":[51],"paper,":[52],"we":[53,81,137],"propose":[54,138],"effective":[56,140],"pipeline":[59,66,161],"for":[60,95,129,143,165],"noisy":[62],"image.":[63],"proposed":[65,158],"consists":[67],"of":[68],"two":[69],"parts;":[70],"and":[74],"denoising.":[75],"part,":[80,136],"utilize":[82],"spatially":[83,127,149],"varying":[84,150],"(SVCC)":[87],"adaptively":[89],"calculates":[90],"matrices":[94],"each":[96,130],"local":[97,131],"block":[99],"considering":[100],"noise":[102,111,114,125,151,167],"effect.":[103],"Although":[104],"SVCC":[106],"can":[107],"effectively":[108],"suppress":[109],"amplification,":[112],"still":[116],"included":[117],"in":[118],"corrected":[121,146],"image,":[122],"where":[123],"levels":[126],"vary":[128],"block.":[132],"denoising":[135,141],"framework":[142],"with":[148],"levels.":[152,168],"Experimental":[153],"results":[154],"demonstrate":[155],"outperforms":[162],"existing":[163],"algorithms":[164],"various":[166]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}