{"id":"https://openalex.org/W4319983877","doi":"https://doi.org/10.3233/faia230063","title":"Providing a Desired Compression Ratio for Better Portable Graphics Encoder of Color Images: Design and Analysis","display_name":"Providing a Desired Compression Ratio for Better Portable Graphics Encoder of Color Images: Design and Analysis","publication_year":2023,"publication_date":"2023-02-06","ids":{"openalex":"https://openalex.org/W4319983877","doi":"https://doi.org/10.3233/faia230063"},"language":"en","primary_location":{"id":"doi:10.3233/faia230063","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia230063","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA230063","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"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":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA230063","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100404522","display_name":"Fangfang Li","orcid":"https://orcid.org/0000-0002-7392-586X"},"institutions":[{"id":"https://openalex.org/I23686167","display_name":"National Aerospace University \u2013 Kharkiv Aviation Institute","ror":"https://ror.org/048j5n646","country_code":"UA","type":"education","lineage":["https://openalex.org/I23686167"]},{"id":"https://openalex.org/I927504317","display_name":"Nanchang Hangkong University","ror":"https://ror.org/0369pvp92","country_code":"CN","type":"education","lineage":["https://openalex.org/I927504317"]}],"countries":["CN","UA"],"is_corresponding":false,"raw_author_name":"Fangfang Li","raw_affiliation_strings":["Key Laboratory of Opto-Electronic information Science and Technology of Jiangxi Province, Nanchang Hangkong University, Nanchang, China","Department of Information-Communication Technologies National Aerospace University, Kharkiv, Ukraine;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Opto-Electronic information Science and Technology of Jiangxi Province, Nanchang Hangkong University, Nanchang, China","institution_ids":["https://openalex.org/I927504317"]},{"raw_affiliation_string":"Department of Information-Communication Technologies National Aerospace University, Kharkiv, Ukraine;","institution_ids":["https://openalex.org/I23686167"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011325512","display_name":"Vladimir Lukin","orcid":"https://orcid.org/0000-0002-1443-9685"},"institutions":[{"id":"https://openalex.org/I23686167","display_name":"National Aerospace University \u2013 Kharkiv Aviation Institute","ror":"https://ror.org/048j5n646","country_code":"UA","type":"education","lineage":["https://openalex.org/I23686167"]}],"countries":["UA"],"is_corresponding":true,"raw_author_name":"Vladimir Lukin","raw_affiliation_strings":["National Aerospace University, Kharkiv, Ukraine"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Aerospace University, Kharkiv, Ukraine","institution_ids":["https://openalex.org/I23686167"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5011325512"],"corresponding_institution_ids":["https://openalex.org/I23686167"],"apc_list":null,"apc_paid":null,"fwci":1.1319,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.81019384,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression 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"}},"topics":[{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression 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/T10688","display_name":"Image and Signal Denoising Methods","score":0.994700014591217,"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":0.9933000206947327,"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/lossy-compression","display_name":"Lossy compression","score":0.7251874208450317},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.7227873206138611},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.6620175838470459},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.6059256792068481},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5955657958984375},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.5719181299209595},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.5291652679443359},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5038349032402039},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.4877336919307709},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.46657595038414},{"id":"https://openalex.org/keywords/compression-ratio","display_name":"Compression ratio","score":0.45365774631500244},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4519422650337219},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.44138869643211365},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.4192137122154236},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38488325476646423},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.2304198145866394},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.21211948990821838},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12651121616363525},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.08382096886634827},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.0667521059513092}],"concepts":[{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.7251874208450317},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.7227873206138611},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.6620175838470459},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6059256792068481},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5955657958984375},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.5719181299209595},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.5291652679443359},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5038349032402039},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.4877336919307709},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.46657595038414},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.45365774631500244},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4519422650337219},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.44138869643211365},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4192137122154236},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38488325476646423},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.2304198145866394},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.21211948990821838},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12651121616363525},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.08382096886634827},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0667521059513092},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C511840579","wikidata":"https://www.wikidata.org/wiki/Q12757","display_name":"Internal combustion engine","level":2,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/faia230063","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia230063","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA230063","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"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":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.3233/faia230063","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia230063","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA230063","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"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":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4319983877.pdf"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W159076414","https://openalex.org/W195424646","https://openalex.org/W609092576","https://openalex.org/W1588594383","https://openalex.org/W1970342366","https://openalex.org/W1998497852","https://openalex.org/W2293642747","https://openalex.org/W2465590047","https://openalex.org/W2513500606","https://openalex.org/W2771942883","https://openalex.org/W2789561488","https://openalex.org/W4223545469","https://openalex.org/W4240681507"],"related_works":["https://openalex.org/W3202870363","https://openalex.org/W2907129173","https://openalex.org/W2791973429","https://openalex.org/W2372078508","https://openalex.org/W4317738232","https://openalex.org/W2075597729","https://openalex.org/W2100525945","https://openalex.org/W2053539432","https://openalex.org/W2389480458","https://openalex.org/W4319983877"],"abstract_inverted_index":{"In":[0],"this":[1,33,125],"paper,":[2],"we":[3,120],"consider":[4],"a":[5,9,66,70,89,96,129,140,147,191],"task":[6],"of":[7,17,52,69,94,99,124,138,149,171,176,205],"providing":[8,95,128,139],"desired":[10,97,130,141,192,201],"compression":[11,16,47,74],"ratio":[12],"(CR)":[13],"in":[14,29,49,76,80,208],"lossy":[15],"color":[18],"images":[19,101,151],"by":[20,144,167],"better":[21,53],"portable":[22],"graphics":[23],"(BPG)":[24],"encoder.":[25],"The":[26,203],"problem":[27],"consists":[28],"the":[30,36,50,56,61,122,136,155,160,168,179,185,199,209],"fact":[31],"that":[32,72,135],"encoder,":[34],"on":[35,60,85,103,173,190,212],"one":[37],"hand,":[38,63],"produces":[39],"certain":[40],"benefits":[41],"compared":[42,158],"to":[43,127,159],"other":[44,62],"modern":[45],"image":[46,86,213],"techniques":[48],"sense":[51],"quality":[54,98,214],"for":[55,65,116,146,198],"same":[57],"CR,":[58],"but,":[59],"CR":[64,142,172,193,211],"fixed":[67],"value":[68],"parameter":[71],"controls":[73],"(PCC)":[75],"BPG":[77],"can":[78],"vary":[79],"very":[81],"vast":[82],"limits":[83],"depending":[84],"content.":[87],"Since":[88],"recently":[90,108],"proposed":[91],"two-step":[92],"method":[93],"compressed":[100],"based":[102],"average":[104,169],"rate-distortion":[105],"curves":[106],"has":[107],"demonstrated":[109],"its":[110],"high":[111],"efficiency":[112],"and":[113,182,194],"accuracy":[114,137],"acceptable":[115],"many":[117],"practical":[118],"applications,":[119],"analyze":[121],"applicability":[123],"approach":[126],"CR.":[131,202],"It":[132],"is":[133,215],"shown":[134],"characterized":[143],"variance":[145],"set":[148],"test":[150],"improves":[152],"radically":[153],"after":[154],"second":[156,186],"step":[157,162],"first":[161,180],"parameters,":[163],"which":[164],"are":[165,196],"determined":[166],"dependence":[170],"Q.":[174],"Variances":[175],"original":[177],"(after":[178,184],"step)":[181,187],"provided":[183,210],"also":[188],"depend":[189],"they":[195],"larger":[197,200],"influence":[204],"residual":[206],"errors":[207],"studied":[216],"as":[217],"well.":[218]},"counts_by_year":[{"year":2024,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
