{"id":"https://openalex.org/W4413018246","doi":"https://doi.org/10.1109/iv64158.2025.11097409","title":"A New Approach for Bayer Adaption Techniques in Compression","display_name":"A New Approach for Bayer Adaption Techniques in Compression","publication_year":2025,"publication_date":"2025-06-22","ids":{"openalex":"https://openalex.org/W4413018246","doi":"https://doi.org/10.1109/iv64158.2025.11097409"},"language":"en","primary_location":{"id":"doi:10.1109/iv64158.2025.11097409","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv64158.2025.11097409","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://wrap.warwick.ac.uk/id/eprint/191075/1/WRAP-New-approach-Bayer-adaption-techniques-compression-25.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5025492203","display_name":"Hetian Wang","orcid":"https://orcid.org/0009-0005-8257-9267"},"institutions":[{"id":"https://openalex.org/I39555362","display_name":"University of Warwick","ror":"https://ror.org/01a77tt86","country_code":"GB","type":"education","lineage":["https://openalex.org/I39555362"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Hetian Wang","raw_affiliation_strings":["University of Warwick,WMG,Coventry,UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Warwick,WMG,Coventry,UK","institution_ids":["https://openalex.org/I39555362"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022740702","display_name":"Anthony Huggett","orcid":null},"institutions":[{"id":"https://openalex.org/I4210116395","display_name":"3M (United Kingdom)","ror":"https://ror.org/02gdsvx03","country_code":"GB","type":"company","lineage":["https://openalex.org/I1340755506","https://openalex.org/I4210116395"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Anthony Huggett","raw_affiliation_strings":["onsemi,Bracknell,UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"onsemi,Bracknell,UK","institution_ids":["https://openalex.org/I4210116395"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032382943","display_name":"Valentina Donzella","orcid":"https://orcid.org/0000-0002-3408-6135"},"institutions":[{"id":"https://openalex.org/I39555362","display_name":"University of Warwick","ror":"https://ror.org/01a77tt86","country_code":"GB","type":"education","lineage":["https://openalex.org/I39555362"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Valentina Donzella","raw_affiliation_strings":["University of Warwick,WMG,Coventry,UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Warwick,WMG,Coventry,UK","institution_ids":["https://openalex.org/I39555362"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22738757,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2185","last_page":"2191"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11567","display_name":"semigroups and automata theory","score":0.46639999747276306,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11567","display_name":"semigroups and automata theory","score":0.46639999747276306,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/computer-science","display_name":"Computer science","score":0.653478741645813},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.4843848645687103},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.08366909623146057}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.653478741645813},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.4843848645687103},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.08366909623146057},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iv64158.2025.11097409","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv64158.2025.11097409","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"},{"id":"pmh:oai:wrap.warwick.ac.uk:191075","is_oa":true,"landing_page_url":"https://doi.org/10.1109/IV64158.2025.11097409","pdf_url":"https://wrap.warwick.ac.uk/id/eprint/191075/1/WRAP-New-approach-Bayer-adaption-techniques-compression-25.pdf","source":{"id":"https://openalex.org/S4306400665","display_name":"Warwick Research Archive Portal (University of Warwick)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I39555362","host_organization_name":"University of Warwick","host_organization_lineage":["https://openalex.org/I39555362"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference Item"}],"best_oa_location":{"id":"pmh:oai:wrap.warwick.ac.uk:191075","is_oa":true,"landing_page_url":"https://doi.org/10.1109/IV64158.2025.11097409","pdf_url":"https://wrap.warwick.ac.uk/id/eprint/191075/1/WRAP-New-approach-Bayer-adaption-techniques-compression-25.pdf","source":{"id":"https://openalex.org/S4306400665","display_name":"Warwick Research Archive Portal (University of Warwick)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I39555362","host_organization_name":"University of Warwick","host_organization_lineage":["https://openalex.org/I39555362"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference Item"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.5099999904632568,"id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G4565646046","display_name":"Robust Automated Driving in Extreme Weather","funder_award_id":"101069576","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G5997928585","display_name":"Robust Automated Driving in Extreme Weather (ROADVIEW)","funder_award_id":"10045139","funder_id":"https://openalex.org/F4320335087","funder_display_name":"Innovate UK"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320335087","display_name":"Innovate UK","ror":"https://ror.org/05ar5fy68"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4413018246.pdf","grobid_xml":"https://content.openalex.org/works/W4413018246.grobid-xml"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1912157691","https://openalex.org/W2101851677","https://openalex.org/W2115514375","https://openalex.org/W2115579991","https://openalex.org/W2117355005","https://openalex.org/W2558027072","https://openalex.org/W2911756221","https://openalex.org/W2953303875","https://openalex.org/W3000447056","https://openalex.org/W3017011715","https://openalex.org/W3035574168","https://openalex.org/W3179977569","https://openalex.org/W4230451786","https://openalex.org/W4313396233","https://openalex.org/W4386608621","https://openalex.org/W4406322056","https://openalex.org/W6876878120"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Existing":[0],"wired":[1],"communication":[2],"vehicle":[3],"network":[4],"technology":[5],"lacks":[6],"the":[7,12,17,27,68,109,124,164,174,194,208,220],"bandwidth":[8,41],"required":[9,69],"to":[10,66,83,107,135,139,180,201],"support":[11,207],"data":[13,114,138,213],"rates":[14],"produced":[15],"by":[16,116],"sensor":[18],"suite":[19],"for":[20],"assisted":[21],"and":[22,42,54,112,119,158,182,214],"automated":[23],"driving":[24],"functions":[25],"in":[26,99,123,142,161,216],"next":[28],"generation":[29],"of":[30,89,211,222],"intelligent":[31],"vehicles.":[32],"Video":[33],"from":[34],"image":[35],"sensors":[36],"demands":[37],"a":[38,63],"very":[39],"high":[40],"cameras":[43,74],"are":[44,178],"continually":[45],"being":[46],"developed":[47],"giving":[48],"better":[49],"resolution,":[50],"bit-depth":[51],"(dynamic":[52],"range)":[53],"frame":[55],"rate.":[56],"To":[57],"overcome":[58],"this":[59,147],"challenge,":[60],"compression":[61,100,144,215],"is":[62,95,197],"potential":[64],"solution":[65],"reduce":[67],"bandwidth.":[70],"As":[71],"modern":[72],"automotive":[73],"produce":[75],"Bayer":[76,85,130,137,184,212],"images,":[77],"it":[78],"might":[79],"be":[80,140],"more":[81],"effective":[82],"compress":[84],"images":[86,92],"directly":[87],"instead":[88],"red-green-blue":[90],"(RGB)":[91],"compression,":[93],"which":[94],"currently":[96],"widely":[97,165],"deployed":[98],"schemes.":[101],"By":[102],"using":[103],"Bayer,":[104],"we":[105,149],"avoid":[106],"triple":[108],"memory":[110],"storage":[111],"preserve":[113],"fidelity":[115],"bypassing":[117],"demosaicing":[118],"other":[120],"non-reversible":[121],"processes":[122],"Image":[125],"Signal":[126],"Processing":[127],"(ISP)":[128],"pipeline.":[129],"adaption":[131,185],"techniques":[132,157,177,186],"indicate":[133],"methods":[134],"convert":[136],"used":[141,166],"traditional":[143],"pipelines.":[145],"In":[146],"research,":[148],"propose":[150],"two":[151],"novel":[152,175],"Colour":[153],"Space":[154],"Transform":[155],"(CST)":[156],"implement":[159],"them":[160],"combination":[162],"with":[163,189],"H.264":[167],"codec.":[168],"The":[169],"presented":[170],"experiments":[171],"show":[172],"that":[173],"CST":[176],"superior":[179],"direct":[181],"Separation":[183],"when":[187,193],"paired":[188],"object":[190],"detection,":[191],"specifically":[192],"bit":[195],"rate":[196],"between":[198],"\u2248":[199],"750":[200],"1250":[202],"kb/fr.":[203],"These":[204],"results":[205],"can":[206],"future":[209,217],"adoption":[210],"vehicles,":[218],"addressing":[219],"problem":[221],"unsustainable":[223],"perception":[224],"sensors'":[225],"datarates.":[226]},"counts_by_year":[],"updated_date":"2026-08-12T21:12:35.861297","created_date":"2025-10-10T00:00:00"}