{"id":"https://openalex.org/W2399349281","doi":"https://doi.org/10.2352/cic.2010.18.1.art00015","title":"A Reduced-Reference Method for Characterizing Color Noise in Natural Images Captured by Digital Cameras","display_name":"A Reduced-Reference Method for Characterizing Color Noise in Natural Images Captured by Digital Cameras","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W2399349281","doi":"https://doi.org/10.2352/cic.2010.18.1.art00015","mag":"2399349281"},"language":"en","primary_location":{"id":"doi:10.2352/cic.2010.18.1.art00015","is_oa":true,"landing_page_url":"http://dx.doi.org/10.2352/cic.2010.18.1.art00015","pdf_url":"https://library.imaging.org/admin/apis/public/api/ist/website/downloadArticle/cic/18/1/art00015","source":{"id":"https://openalex.org/S4210193667","display_name":"Color and Imaging Conference","issn_l":"2166-9635","issn":["2166-9635","2169-2629"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Color and Imaging Conference","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://library.imaging.org/admin/apis/public/api/ist/website/downloadArticle/cic/18/1/art00015","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078176288","display_name":"Mikko Nuutinen","orcid":"https://orcid.org/0000-0002-7429-3710"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mikko Nuutinen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011486784","display_name":"Olli Orenius","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Olli Orenius","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064381650","display_name":"Timo S\u00e4\u00e4m\u00e4nen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Timo S\u00e4\u00e4m\u00e4nen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5002840694","display_name":"Pirkko Oittinen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pirkko Oittinen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9687,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.79758864,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"18","issue":"1","first_page":"80","last_page":"85"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","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"}},"topics":[{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","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/T10531","display_name":"Advanced Vision and Imaging","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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9987000226974487,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7688843607902527},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7478384971618652},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7193982601165771},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6833373308181763},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5614822506904602},{"id":"https://openalex.org/keywords/digital-image","display_name":"Digital image","score":0.5125817656517029},{"id":"https://openalex.org/keywords/digital-camera","display_name":"Digital camera","score":0.48859626054763794},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.4766945540904999},{"id":"https://openalex.org/keywords/image-noise","display_name":"Image noise","score":0.46742507815361023},{"id":"https://openalex.org/keywords/standard-test-image","display_name":"Standard test image","score":0.41803276538848877},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4058934450149536},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33805131912231445},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.31381291151046753},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08138233423233032}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7688843607902527},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7478384971618652},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7193982601165771},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6833373308181763},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5614822506904602},{"id":"https://openalex.org/C42781572","wikidata":"https://www.wikidata.org/wiki/Q1250322","display_name":"Digital image","level":4,"score":0.5125817656517029},{"id":"https://openalex.org/C2779705975","wikidata":"https://www.wikidata.org/wiki/Q62927","display_name":"Digital camera","level":2,"score":0.48859626054763794},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4766945540904999},{"id":"https://openalex.org/C35772409","wikidata":"https://www.wikidata.org/wiki/Q1323086","display_name":"Image noise","level":3,"score":0.46742507815361023},{"id":"https://openalex.org/C180462255","wikidata":"https://www.wikidata.org/wiki/Q3559736","display_name":"Standard test image","level":4,"score":0.41803276538848877},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4058934450149536},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33805131912231445},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.31381291151046753},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08138233423233032},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2352/cic.2010.18.1.art00015","is_oa":true,"landing_page_url":"http://dx.doi.org/10.2352/cic.2010.18.1.art00015","pdf_url":"https://library.imaging.org/admin/apis/public/api/ist/website/downloadArticle/cic/18/1/art00015","source":{"id":"https://openalex.org/S4210193667","display_name":"Color and Imaging Conference","issn_l":"2166-9635","issn":["2166-9635","2169-2629"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Color and Imaging Conference","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.2352/cic.2010.18.1.art00015","is_oa":true,"landing_page_url":"http://dx.doi.org/10.2352/cic.2010.18.1.art00015","pdf_url":"https://library.imaging.org/admin/apis/public/api/ist/website/downloadArticle/cic/18/1/art00015","source":{"id":"https://openalex.org/S4210193667","display_name":"Color and Imaging Conference","issn_l":"2166-9635","issn":["2166-9635","2169-2629"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Color and Imaging Conference","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W2399349281.pdf"},"referenced_works_count":8,"referenced_works":["https://openalex.org/W1985267094","https://openalex.org/W2038381174","https://openalex.org/W2067098972","https://openalex.org/W2067795169","https://openalex.org/W2080741473","https://openalex.org/W2116044718","https://openalex.org/W2124386111","https://openalex.org/W2125391912"],"related_works":["https://openalex.org/W2604739415","https://openalex.org/W2024870403","https://openalex.org/W2009935520","https://openalex.org/W1864851514","https://openalex.org/W4210692026","https://openalex.org/W2150358707","https://openalex.org/W2415793911","https://openalex.org/W2036292001","https://openalex.org/W2183198546","https://openalex.org/W4210301232"],"abstract_inverted_index":{"Noise":[0],"is":[1,89,115,132],"one":[2],"fundamental":[3],"quality":[4,23,43],"attribute":[5],"in":[6],"digital":[7,139],"cameras.":[8,140],"Traditionally,":[9],"noise":[10,64,76,124,129],"has":[11,26],"been":[12,27],"measured":[13],"from":[14,46,65,80],"solid":[15],"patches":[16],"of":[17],"artificial":[18],"test":[19,34,38,135],"targets.":[20],"In":[21,40,53],"image":[22,42,96],"research,":[24],"it":[25],"difficult":[28],"to":[29,92,107,126],"find":[30],"connections":[31],"between":[32],"a":[33,58,84],"target":[35,136],"and":[36,100,103],"subjective":[37,99,123],"data.":[39],"addition,":[41],"algorithms":[44],"computed":[45],"natural":[47,66],"images":[48],"are":[49,78,105],"not":[50],"well":[51],"correlated.":[52],"this":[54],"paper,":[55],"we":[56],"propose":[57],"novel":[59],"approach":[60],"for":[61,75,98,121,138],"measuring":[62],"color":[63],"images.":[67],"With":[68],"the":[69,72,81,94,113,127,133],"proposed":[70],"method,":[71],"suitable":[73],"surfaces":[74],"calculations":[77],"located":[79],"scene":[82],"using":[83],"reference":[85],"camera":[86],"image.":[87],"It":[88],"now":[90],"possible":[91],"use":[93],"same":[95],"files":[97],"objective":[101],"measurements":[102],"correlations":[104],"easier":[106],"find.":[108],"The":[109],"results":[110],"show":[111],"that":[112,131],"method":[114,137],"promising.":[116],"Its":[117],"performance":[118],"was":[119],"better":[120],"predicting":[122],"compared":[125],"visual":[128],"metric":[130],"state-of-the-art":[134]},"counts_by_year":[{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}