{"id":"https://openalex.org/W7171925989","doi":"https://doi.org/10.1145/3774521.3774587","title":"A Fast Lossless Compression Algorithm for Color Filter Arrays","display_name":"A Fast Lossless Compression Algorithm for Color Filter Arrays","publication_year":2025,"publication_date":"2025-12-17","ids":{"openalex":"https://openalex.org/W7171925989","doi":"https://doi.org/10.1145/3774521.3774587"},"language":null,"primary_location":{"id":"doi:10.1145/3774521.3774587","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774521.3774587","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Sixteen Indian Conference on Computer Vision, Graphics and Image Processing","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3774521.3774587","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055683087","display_name":"Chiranjeev Bhaya","orcid":"https://orcid.org/0000-0002-3508-6081"},"institutions":[{"id":"https://openalex.org/I4210139030","display_name":"Samsung (India)","ror":"https://ror.org/04cpx2569","country_code":"IN","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210139030"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Chiranjeev Bhaya","raw_affiliation_strings":["System Intelligence Team, Samsung R&D, Bangalore, Bengaluru, Karnataka, India"],"raw_orcid":"https://orcid.org/0000-0002-3508-6081","affiliations":[{"raw_affiliation_string":"System Intelligence Team, Samsung R&D, Bangalore, Bengaluru, Karnataka, India","institution_ids":["https://openalex.org/I4210139030"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125907737","display_name":"Mithil Shail","orcid":null},"institutions":[{"id":"https://openalex.org/I4210139030","display_name":"Samsung (India)","ror":"https://ror.org/04cpx2569","country_code":"IN","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210139030"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Mithil Shail","raw_affiliation_strings":["System Intelligence Team, Samsung R&D, Bangalore, Bengaluru, Karnataka, India"],"raw_orcid":"https://orcid.org/0009-0000-6283-5810","affiliations":[{"raw_affiliation_string":"System Intelligence Team, Samsung R&D, Bangalore, Bengaluru, Karnataka, India","institution_ids":["https://openalex.org/I4210139030"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052988427","display_name":"Chandra Mohan Velpula","orcid":null},"institutions":[{"id":"https://openalex.org/I4210139030","display_name":"Samsung (India)","ror":"https://ror.org/04cpx2569","country_code":"IN","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210139030"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Chandra Mohan Velpula","raw_affiliation_strings":["System Intelligence Team, Samsung R&D, Bangalore, Bengaluru, Karnataka, India"],"raw_orcid":"https://orcid.org/0009-0002-0964-0031","affiliations":[{"raw_affiliation_string":"System Intelligence Team, Samsung R&D, Bangalore, Bengaluru, Karnataka, India","institution_ids":["https://openalex.org/I4210139030"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5144108068","display_name":"Sarbojit Ganguly","orcid":"https://orcid.org/0009-0005-5115-9518"},"institutions":[{"id":"https://openalex.org/I4210139030","display_name":"Samsung (India)","ror":"https://ror.org/04cpx2569","country_code":"IN","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210139030"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sarbojit Ganguly","raw_affiliation_strings":["System Intelligence Team, Samsung R&D, Bangalore, Bengaluru, Karnataka, India"],"raw_orcid":"https://orcid.org/0009-0005-5115-9518","affiliations":[{"raw_affiliation_string":"System Intelligence Team, Samsung R&D, Bangalore, Bengaluru, Karnataka, India","institution_ids":["https://openalex.org/I4210139030"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5125989953","display_name":"Praveen Bangre Prabhakar Rao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210139030","display_name":"Samsung (India)","ror":"https://ror.org/04cpx2569","country_code":"IN","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210139030"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Praveen Bangre Prabhakar Rao","raw_affiliation_strings":["System Intelligence Team, Samsung R&D, Bangalore, Bengaluru, Karnataka, India"],"raw_orcid":"https://orcid.org/0009-0001-2759-2398","affiliations":[{"raw_affiliation_string":"System Intelligence Team, Samsung R&D, Bangalore, Bengaluru, Karnataka, India","institution_ids":["https://openalex.org/I4210139030"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210139030"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":null,"topics":[],"keywords":[{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.7961999773979187},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.7896999716758728},{"id":"https://openalex.org/keywords/color-cell-compression","display_name":"Color Cell Compression","score":0.5799999833106995},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5611000061035156},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.5394999980926514},{"id":"https://openalex.org/keywords/data-compression-ratio","display_name":"Data compression ratio","score":0.48910000920295715},{"id":"https://openalex.org/keywords/huffman-coding","display_name":"Huffman coding","score":0.4846999943256378},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.46059998869895935},{"id":"https://openalex.org/keywords/entropy-encoding","display_name":"Entropy encoding","score":0.4221999943256378}],"concepts":[{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.7961999773979187},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.7896999716758728},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5823000073432922},{"id":"https://openalex.org/C82804729","wikidata":"https://www.wikidata.org/wiki/Q5148551","display_name":"Color Cell Compression","level":5,"score":0.5799999833106995},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5782999992370605},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5738999843597412},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5611000061035156},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5468999743461609},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.5394999980926514},{"id":"https://openalex.org/C94835093","wikidata":"https://www.wikidata.org/wiki/Q3113333","display_name":"Data compression ratio","level":5,"score":0.48910000920295715},{"id":"https://openalex.org/C46900642","wikidata":"https://www.wikidata.org/wiki/Q2647","display_name":"Huffman coding","level":3,"score":0.4846999943256378},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.46059998869895935},{"id":"https://openalex.org/C1769480","wikidata":"https://www.wikidata.org/wiki/Q1345239","display_name":"Entropy encoding","level":3,"score":0.4221999943256378},{"id":"https://openalex.org/C54243161","wikidata":"https://www.wikidata.org/wiki/Q39333","display_name":"Texture compression","level":5,"score":0.41290000081062317},{"id":"https://openalex.org/C177299597","wikidata":"https://www.wikidata.org/wiki/Q2468214","display_name":"Color filter array","level":5,"score":0.38749998807907104},{"id":"https://openalex.org/C5622133","wikidata":"https://www.wikidata.org/wiki/Q812133","display_name":"Bayer filter","level":5,"score":0.3474999964237213},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.32260000705718994},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.32249999046325684},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.3190999925136566},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3188999891281128},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.31060001254081726},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29440000653266907},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.2874999940395355},{"id":"https://openalex.org/C27624317","wikidata":"https://www.wikidata.org/wiki/Q263499","display_name":"Demosaicing","level":5,"score":0.28360000252723694},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.28349998593330383},{"id":"https://openalex.org/C91522604","wikidata":"https://www.wikidata.org/wiki/Q690110","display_name":"Color depth","level":5,"score":0.2809000015258789},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.2728999853134155},{"id":"https://openalex.org/C2961294","wikidata":"https://www.wikidata.org/wiki/Q166863","display_name":"Color space","level":3,"score":0.26660001277923584},{"id":"https://openalex.org/C57890076","wikidata":"https://www.wikidata.org/wiki/Q4680725","display_name":"Adaptive coding","level":4,"score":0.2635999917984009},{"id":"https://openalex.org/C131910990","wikidata":"https://www.wikidata.org/wiki/Q1202284","display_name":"High color","level":5,"score":0.26159998774528503},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.25850000977516174}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3774521.3774587","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774521.3774587","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Sixteen Indian Conference on Computer Vision, Graphics and Image Processing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3774521.3774587","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774521.3774587","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Sixteen Indian Conference on Computer Vision, Graphics and Image Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1750292977","https://openalex.org/W1912157691","https://openalex.org/W2042340641","https://openalex.org/W2060108852","https://openalex.org/W2116721115","https://openalex.org/W2117355005","https://openalex.org/W2118136088","https://openalex.org/W2129086047","https://openalex.org/W2144052068","https://openalex.org/W2168881191","https://openalex.org/W2749246050","https://openalex.org/W3140715649","https://openalex.org/W3202284517"],"related_works":[],"abstract_inverted_index":{"Image":[0],"sensors":[1],"used":[2,58,262],"in":[3,18,59,91,221,263],"digital":[4],"image":[5,31,63,248,271],"and":[6,14,51,120,133,146,164,173,181,226,236],"video":[7],"capturing":[8],"devices":[9],"such":[10,266],"as":[11,267],"modern":[12],"smartphones":[13],"cameras":[15],"generate":[16],"images":[17],"the":[19,38,43,67,70,110,186,189,201,231,241],"form":[20],"of":[21,40,42,62,69,109,188,200,223,270],"Color":[22],"Filter":[23],"Arrays":[24],"(CFAs).":[25],"These":[26,46],"CFAs":[27,47,115,145],"are":[28,48,57,127,140],"single-channel,":[29],"two-dimensional":[30],"matrices":[32],"where":[33],"every":[34],"pixel":[35,193],"corresponds":[36],"to":[37,170,230,250],"intensity":[39],"one":[41],"primary":[44],"colors.":[45],"linear,":[49],"unprocessed":[50],"have":[52,238],"a":[53,92,161,179,246],"high":[54,122],"bit-depth,":[55],"which":[56,77,99],"various":[60,268],"stages":[61,269],"processing":[64,272],"pipelines.":[65,273],"As":[66],"dimension":[68],"CFA":[71,168,190],"grows,":[72],"they":[73,126],"require":[74,121],"more":[75,219],"memory,":[76],"can":[78,244,260],"be":[79,261],"reduced":[80,206],"by":[81,191],"efficient":[82,220],"compression":[83,112,123,163,227],"algorithms.":[84],"Unlike":[85],"color":[86,203],"images,":[87],"CFAs,":[88],"if":[89],"compressed":[90,211],"lossy":[93],"manner,":[94],"would":[95,100],"lose":[96],"some":[97],"data":[98,208],"affect":[101],"their":[102],"quality":[103],"after":[104],"post-processing.":[105],"In":[106,156],"literature,":[107],"most":[108],"lossless":[111,162],"algorithms":[113],"for":[114,143,148,167],"involves":[116],"complex":[117],"computational":[118],"steps,":[119],"time.":[124],"Moreover,":[125],"designed":[128,141],"on":[129,135,184,196,254],"synthetic":[130],"non-linear":[131],"dataset,":[132],"not":[134,147],"actual":[136],"sensor":[137],"data.":[138],"They":[139],"mostly":[142],"Bayer-pattern":[144],"high-resolution":[149],"patterns":[150],"like":[151],"tetra,":[152],"nona,":[153],"hexadeca,":[154],"etc.":[155],"this":[157],"paper,":[158],"we":[159],"present":[160],"decompression":[165],"algorithm":[166,177,217,243],"applicable":[169],"any":[171],"type":[172],"resolution.":[174],"The":[175,205,215],"proposed":[176,216,242],"is":[178,182,209,218],"single-pass":[180],"based":[183,195],"reducing":[185],"entropy":[187,207],"predicting":[192],"intensities":[194],"nearest":[197],"neighboring":[198],"pixels":[199],"same":[202],"filter.":[204],"then":[210],"using":[212],"Huffman":[213],"coding.":[214],"terms":[222],"execution":[224],"time":[225],"ratio":[228],"compared":[229],"state-of-the-art":[232],"methods.":[233],"Experimental":[234],"results":[235],"analysis":[237],"shown":[239],"that":[240],"compress":[245],"single":[247],"frame":[249],"around":[251],"two":[252],"times":[253],"an":[255],"average.":[256],"Being":[257],"fast,":[258],"it":[259],"real-time":[264],"applications":[265]},"counts_by_year":[],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2026-08-01T00:00:00"}