{"id":"https://openalex.org/W3002534477","doi":"https://doi.org/10.1145/3373419.3373457","title":"Effects of Color Systems' Transformation on Optical Flow Estimation of Noisy and Degraded Images","display_name":"Effects of Color Systems' Transformation on Optical Flow Estimation of Noisy and Degraded Images","publication_year":2019,"publication_date":"2019-11-08","ids":{"openalex":"https://openalex.org/W3002534477","doi":"https://doi.org/10.1145/3373419.3373457","mag":"3002534477"},"language":"en","primary_location":{"id":"doi:10.1145/3373419.3373457","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3373419.3373457","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 3rd International Conference on Advances in Image Processing","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/A5018192925","display_name":"Syed Tafseer Haider Shah","orcid":null},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Syed Tafseer Haider Shah","raw_affiliation_strings":["School of Information and Communication, Harbin Engineering University"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication, Harbin Engineering University","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"last","author":{"id":null,"display_name":"Xiang Xuezhi","orcid":null},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Xuezhi","raw_affiliation_strings":["School of Information and Communication, Harbin Engineering University"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication, Harbin Engineering University","institution_ids":["https://openalex.org/I151727225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5018192925"],"corresponding_institution_ids":["https://openalex.org/I151727225"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17019231,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"81","last_page":"87"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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/T10531","display_name":"Advanced Vision and Imaging","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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9993000030517578,"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":0.9980000257492065,"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/rgb-color-model","display_name":"RGB color model","score":0.7626876831054688},{"id":"https://openalex.org/keywords/hue","display_name":"Hue","score":0.7023992538452148},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7006876468658447},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6937959790229797},{"id":"https://openalex.org/keywords/color-space","display_name":"Color space","score":0.6578207612037659},{"id":"https://openalex.org/keywords/hsl-and-hsv","display_name":"HSL and HSV","score":0.6262516379356384},{"id":"https://openalex.org/keywords/brightness","display_name":"Brightness","score":0.614534318447113},{"id":"https://openalex.org/keywords/color-balance","display_name":"Color balance","score":0.5791112780570984},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5439905524253845},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.5205272436141968},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.5040873289108276},{"id":"https://openalex.org/keywords/lightness","display_name":"Lightness","score":0.433247447013855},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36296194791793823},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.25010061264038086},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.21879112720489502},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1997564136981964},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.15889891982078552}],"concepts":[{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.7626876831054688},{"id":"https://openalex.org/C126537357","wikidata":"https://www.wikidata.org/wiki/Q372948","display_name":"Hue","level":2,"score":0.7023992538452148},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7006876468658447},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6937959790229797},{"id":"https://openalex.org/C2961294","wikidata":"https://www.wikidata.org/wiki/Q166863","display_name":"Color space","level":3,"score":0.6578207612037659},{"id":"https://openalex.org/C36372059","wikidata":"https://www.wikidata.org/wiki/Q376492","display_name":"HSL and HSV","level":3,"score":0.6262516379356384},{"id":"https://openalex.org/C125245961","wikidata":"https://www.wikidata.org/wiki/Q221656","display_name":"Brightness","level":2,"score":0.614534318447113},{"id":"https://openalex.org/C159784718","wikidata":"https://www.wikidata.org/wiki/Q182571","display_name":"Color balance","level":5,"score":0.5791112780570984},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5439905524253845},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.5205272436141968},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.5040873289108276},{"id":"https://openalex.org/C193601281","wikidata":"https://www.wikidata.org/wiki/Q19426","display_name":"Lightness","level":2,"score":0.433247447013855},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36296194791793823},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.25010061264038086},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.21879112720489502},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1997564136981964},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.15889891982078552},{"id":"https://openalex.org/C2522874641","wikidata":"https://www.wikidata.org/wiki/Q808","display_name":"Virus","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C159047783","wikidata":"https://www.wikidata.org/wiki/Q7215","display_name":"Virology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3373419.3373457","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3373419.3373457","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 3rd International Conference on Advances in Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1578285471","https://openalex.org/W1951289974","https://openalex.org/W2111533989","https://openalex.org/W2113221323","https://openalex.org/W2131747574","https://openalex.org/W2269094482","https://openalex.org/W2441099548","https://openalex.org/W2548527721","https://openalex.org/W2560474170","https://openalex.org/W2737012286","https://openalex.org/W2770257943","https://openalex.org/W2801461794","https://openalex.org/W2963305757","https://openalex.org/W2963403249","https://openalex.org/W2963642591","https://openalex.org/W2963782415","https://openalex.org/W2964140947","https://openalex.org/W2967043539","https://openalex.org/W6693367944","https://openalex.org/W6737049716","https://openalex.org/W6741764598","https://openalex.org/W6761666624"],"related_works":["https://openalex.org/W1948574732","https://openalex.org/W2605913192","https://openalex.org/W2085519698","https://openalex.org/W2027697426","https://openalex.org/W2967053423","https://openalex.org/W2347216616","https://openalex.org/W2382893230","https://openalex.org/W2916810246","https://openalex.org/W2354322567","https://openalex.org/W4389492757"],"abstract_inverted_index":{"Varying":[0],"illumination":[1,50],"and":[2,40,51,70,77,90,98,115,117,154,223,292,294],"image":[3,195],"blur":[4,89],"are":[5],"some":[6,185,191],"of":[7,14,27,60,88,108,125,171,194,229,246,322],"major":[8],"challenges":[9],"faced":[10],"by":[11,29,158,209],"contemporary":[12],"methods":[13,324],"optical":[15,65,103,173,241,254,326],"flow":[16,66,104,135,174,262,282],"estimation.":[17],"Despite":[18],"significant":[19],"advancement,":[20],"these":[21,312],"aspects":[22],"have":[23,80,129,289],"not":[24,176,257],"received":[25],"much":[26],"attention":[28],"modern-day":[30],"methods.":[31],"Latest":[32],"work":[33],"in":[34,110,164,285,301],"this":[35,54,274],"field":[36],"is":[37,167,202,218,271,298],"heavily":[38],"affected":[39],"produce":[41],"adverse":[42],"results":[43,245],"when":[44],"dealing":[45],"with":[46,105,260,315],"images":[47,79,84,207,252,266],"containing":[48,267],"variable":[49,313],"blur.":[52],"In":[53,73],"paper,":[55],"we":[56,238],"investigate":[57],"the":[58,123,133,159,180,206,210,230,236,240,244,295,308,319],"effects":[59,92,124],"color":[61,121,126,139,181,186,200,216,279,287],"space":[62,127,217],"transformations":[63],"on":[64,132,162,179],"estimation":[67,283],"from":[68,264],"degraded":[69],"noisy":[71,78,224],"images.":[72,225],"our":[74],"experiments,":[75],"clean":[76,114,251],"been":[81,130,290],"used.":[82],"These":[83],"contain":[85],"different":[86,278],"kinds":[87],"atmospheric":[91],"such":[93],"as":[94],"fog,":[95],"mist,":[96],"shadows":[97],"dark":[99],"regions.":[100],"By":[101],"estimating":[102],"three":[106],"types":[107],"sequences":[109],"parallel":[111],"(super":[112],"clean,":[113],"noisy),":[116],"using":[118],"four":[119,138,286],"popular":[120],"systems,":[122],"transformation":[128],"observed":[131],"estimated":[134,239,263],"fields.":[136],"The":[137,269,281,304],"systems":[140,288],"include":[141],"RGB":[142],"(red,":[143],"blue,":[144],"green),":[145],"HSV":[146,215],"(hue,":[147,151],"saturation,":[148,152],"value),":[149],"HSL":[150],"lightness)":[153],"XYZ":[155,199],"(as":[156],"standardized":[157],"International":[160],"Commission":[161],"Illumination":[163],"1931).":[165],"It":[166],"found":[168],"that":[169],"output":[170],"an":[172,247,316],"algorithm":[175,248],"only":[177,234],"depends":[178],"system":[182,201],"adopted,":[183],"but":[184,233],"spaces":[187],"tend":[188],"to":[189,250,272],"favor":[190],"special":[192],"type":[193],"sequences.":[196],"For":[197],"instance,":[198],"more":[203,219],"favorable":[204],"for":[205,221,253,277,325],"abiding":[208],"brightness":[211],"constancy":[212],"assumption":[213],"while":[214],"suitable":[220],"blurry":[222],"While":[226],"keeping":[227],"rest":[228],"parameters":[231],"unchanged":[232],"transforming":[235],"color-space,":[237],"flow.":[242,327],"Obviously":[243],"applied":[249],"flow,":[255],"would":[256],"be":[258],"consistent":[259],"a":[261],"same":[265],"noise.":[268],"objective":[270],"compare":[273],"adversative":[275],"effect":[276],"spaces.":[280],"errors":[284],"reported":[291],"compared,":[293],"best":[296],"color-space":[297],"pointed":[299],"out":[300],"each":[302],"case.":[303],"paper":[305],"also":[306],"discusses":[307],"possible":[309],"factors":[310],"behind":[311],"outcomes":[314],"insight":[317],"into":[318],"basic":[320],"frameworks":[321],"traditional":[323]},"counts_by_year":[],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
