{"id":"https://openalex.org/W2134635352","doi":"https://doi.org/10.1109/dcc.1998.672303","title":"Post-processing enhancement of decompressed images using variable order Bezier polynomials and distance transform","display_name":"Post-processing enhancement of decompressed images using variable order Bezier polynomials and distance transform","publication_year":2002,"publication_date":"2002-11-27","ids":{"openalex":"https://openalex.org/W2134635352","doi":"https://doi.org/10.1109/dcc.1998.672303","mag":"2134635352"},"language":"en","primary_location":{"id":"doi:10.1109/dcc.1998.672303","doi":"https://doi.org/10.1109/dcc.1998.672303","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dcc.1998.672303","pdf_url":null,"source":{"id":"https://openalex.org/S4210220829","display_name":"DCC","issn_l":"1068-0314","issn":["1068-0314","2375-0359"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings DCC '98 Data Compression Conference (Cat. No.98TB100225)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5067565499","display_name":"Joceli Mayer","orcid":"https://orcid.org/0009-0003-4073-9846","observed_orcids":["https://orcid.org/0009-0003-4073-9846"]},"institutions":[{"id":"https://openalex.org/I4104125","display_name":"Universidade Federal de Santa Catarina","ror":"https://ror.org/041akq887","country_code":"BR","type":"education","lineage":["https://openalex.org/I4104125"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"J. Mayer","raw_affiliation_strings":["EEL UFSC, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"EEL UFSC, Brazil","institution_ids":["https://openalex.org/I4104125"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113690009","display_name":"Glen G. Langdon","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I185103710","display_name":"University of California, Santa Cruz","ror":"https://ror.org/03s65by71","country_code":"US","type":"education","lineage":["https://openalex.org/I185103710"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"G.G. Langdon","raw_affiliation_strings":["Department of Computer Engineering, University of California, Santa Cruz, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, University of California, Santa Cruz, CA, USA","institution_ids":["https://openalex.org/I185103710"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8217,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.7061062,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"561","last_page":"561"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9609000086784363,"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":0.9609000086784363,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.012500000186264515,"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":0.011900000274181366,"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/image-post-processing","display_name":"image post-processing","score":0.8149999976158142},{"id":"https://openalex.org/keywords/jpeg-ls","display_name":"JPEG-LS","score":0.9800000190734863},{"id":"https://openalex.org/keywords/logos","display_name":"logos","score":0.5509999990463257},{"id":"https://openalex.org/keywords/bezier-polynomials","display_name":"Bezier polynomials","score":0.8140000104904175},{"id":"https://openalex.org/keywords/distance-transform","display_name":"distance transform","score":0.8690000176429749},{"id":"https://openalex.org/keywords/banding-artifacts","display_name":"banding artifacts","score":0.9829999804496765},{"id":"https://openalex.org/keywords/quantization-artifacts","display_name":"quantization artifacts","score":0.796999990940094},{"id":"https://openalex.org/keywords/human-visual-system-sensitivity","display_name":"human visual system sensitivity","score":0.75},{"id":"https://openalex.org/keywords/low-bit-rate-image-compression","display_name":"low bit rate image compression","score":0.6320000290870667},{"id":"https://openalex.org/keywords/lookup-tables","display_name":"look-up table","score":0.593999981880188}],"concepts":[{"id":"https://openalex.org/C198751489","wikidata":"https://www.wikidata.org/wiki/Q2195","display_name":"JPEG","level":3,"score":0.7936341762542725},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.6793868541717529},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.6010487079620361},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5450397729873657},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4984734058380127},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.49301883578300476},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49172070622444153},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.4726908504962921},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.4696352183818817},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46547433733940125},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4500300884246826},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.301194429397583},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.11295226216316223}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dcc.1998.672303","doi":"https://doi.org/10.1109/dcc.1998.672303","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dcc.1998.672303","pdf_url":null,"source":{"id":"https://openalex.org/S4210220829","display_name":"DCC","issn_l":"1068-0314","issn":["1068-0314","2375-0359"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings DCC '98 Data Compression Conference (Cat. No.98TB100225)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W1996342882","https://openalex.org/W2186402279"],"related_works":["https://openalex.org/W2186402279","https://openalex.org/W2112300715","https://openalex.org/W2081477649","https://openalex.org/W7095627100","https://openalex.org/W4379416902","https://openalex.org/W2121482916","https://openalex.org/W2325340635","https://openalex.org/W7095515145","https://openalex.org/W1964172694","https://openalex.org/W1836399137"],"abstract_inverted_index":{"Summary":[0],"form":[1],"only":[2],"given.":[3],"We":[4,89],"post-process":[5],"images":[6,223],"compressed":[7],"by":[8,50,120,160],"lossy":[9,219],"JPEG":[10,23,28,220],"algorithms":[11],"(DCT":[12],"and":[13,29,150,188,221],"LOGO),":[14,35],"following":[15],"decompression,":[16],"using":[17,161],"Bezier":[18,112,136,203],"polynomials":[19,113,137],"for":[20,68,97,138,155,218,224],"enhancement.":[21],"Both":[22],"algorithms,":[24],"namely":[25],"the":[26,30,53,58,87,100,128,135,139,167,180,202],"DCT-based":[27,40],"near-lossless":[31],"baseline":[32],"JPEG-LS":[33,61,222],"(aka":[34],"employ":[36],"spatial":[37],"quantization.":[38,106],"The":[39,73,132,174],"version":[41],"introduces":[42,62],"an":[43],"artifact":[44,65],"known":[45],"as":[46],"mosaic":[47],"or":[48],"\"blockiness\"":[49],"coarsely":[51],"quantizing":[52,57],"DC":[54],"coefficients.":[55],"By":[56],"prediction":[59],"errors,":[60],"a":[63,91,162],"\"banding\"":[64],"specially":[66,79],"noticeable":[67],"quantization":[69,168,190],"coarser":[70],"than":[71],"\"8-off\".":[72],"human":[74],"visual":[75],"system":[76],"(HVS)":[77],"is":[78,118,176,213],"sensitive":[80],"to":[81,105,145,194,207],"degradations":[82],"on":[83,95,185],"smooth":[84,102],"regions":[85,103,126],"in":[86,124,152],"image.":[88],"propose":[90],"post-processing":[92],"algorithm":[93],"based":[94],"blending":[96,121],"enhancement":[98],"of":[99,114,134,164,166,182,197],"degraded":[101],"due":[104],"In":[107,192],"this":[108],"work,":[109],"we":[110],"use":[111],"variable":[115],"orders.":[116],"Enhancement":[117],"obtained":[119],"each":[122,209],"pixel":[123,210],"low-activity":[125],"so":[127],"artifacts":[129],"are":[130,148,171,216],"reduced.":[131],"coefficients":[133],"various":[140],"orders":[141],"used":[142,206],"(from":[143],"3rd":[144],"7th":[146],"order)":[147],"precomputed":[149],"stored":[151],"look-up":[153],"tables":[154],"speed.":[156],"Active":[157],"pixels,":[158],"detected":[159],"threshold":[163,175,183],"3/2":[165],"step":[169],"size,":[170],"left":[172],"alone.":[173],"theoretically":[177],"justified,":[178],"avoids":[179],"problem":[181],"determination":[184],"ordinary":[186],"segmentation,":[187],"excludes":[189],"noise.":[191],"order":[193,205],"avoid":[195],"over-smoothing":[196],"large":[198],"low":[199,226],"activity":[200],"regions,":[201],"polynomials'":[204],"blend":[208],"P/sub":[211],"o,j/":[212],"variable.":[214],"Results":[215],"presented":[217],"very":[225],"bit-rates.":[227]},"counts_by_year":[],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2016-06-24T00:00:00"}