{"id":"https://openalex.org/W2100718108","doi":"https://doi.org/10.1109/mmsp.2007.4412878","title":"An adaptive synthesis filter bank for image decoding with fractional scalability","display_name":"An adaptive synthesis filter bank for image decoding with fractional scalability","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2100718108","doi":"https://doi.org/10.1109/mmsp.2007.4412878","mag":"2100718108"},"language":"en","primary_location":{"id":"doi:10.1109/mmsp.2007.4412878","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp.2007.4412878","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE 9th Workshop on Multimedia Signal 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/A5032206689","display_name":"Nicolas Tizon","orcid":null},"institutions":[{"id":"https://openalex.org/I12356871","display_name":"T\u00e9l\u00e9com Paris","ror":"https://ror.org/01naq7912","country_code":"FR","type":"education","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Nicolas Tizon","raw_affiliation_strings":["Signal and Image Processing Department, GET-T\u00e9l\u00e9com Paris (ENST), Paris, France","GET -Telecom Paris, Paris"],"affiliations":[{"raw_affiliation_string":"Signal and Image Processing Department, GET-T\u00e9l\u00e9com Paris (ENST), Paris, France","institution_ids":["https://openalex.org/I12356871"]},{"raw_affiliation_string":"GET -Telecom Paris, Paris","institution_ids":["https://openalex.org/I12356871"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106469946","display_name":"B\u00e9atrice Pesquet\u2010Popescu","orcid":null},"institutions":[{"id":"https://openalex.org/I12356871","display_name":"T\u00e9l\u00e9com Paris","ror":"https://ror.org/01naq7912","country_code":"FR","type":"education","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Beatrice Pesquet-Popescu","raw_affiliation_strings":["Signal and Image Processing Department, GET-T\u00e9l\u00e9com Paris (ENST), Paris, France","GET -Telecom Paris, Paris"],"affiliations":[{"raw_affiliation_string":"Signal and Image Processing Department, GET-T\u00e9l\u00e9com Paris (ENST), Paris, France","institution_ids":["https://openalex.org/I12356871"]},{"raw_affiliation_string":"GET -Telecom Paris, Paris","institution_ids":["https://openalex.org/I12356871"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5032206689"],"corresponding_institution_ids":["https://openalex.org/I12356871"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.1348128,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"304","last_page":"307"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11034","display_name":"Digital Filter Design and Implementation","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11034","display_name":"Digital Filter Design and Implementation","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9991000294685364,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9986000061035156,"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/computer-science","display_name":"Computer science","score":0.6736472249031067},{"id":"https://openalex.org/keywords/codec","display_name":"Codec","score":0.6026707887649536},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5662452578544617},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5626519918441772},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5224199295043945},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.4776248335838318},{"id":"https://openalex.org/keywords/transform-coding","display_name":"Transform coding","score":0.45125189423561096},{"id":"https://openalex.org/keywords/jpeg","display_name":"JPEG","score":0.4195854663848877},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.3647897243499756},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3550349175930023},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3358505666255951},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.2769238352775574},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.21244403719902039},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.1430017650127411}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6736472249031067},{"id":"https://openalex.org/C161765866","wikidata":"https://www.wikidata.org/wiki/Q184748","display_name":"Codec","level":2,"score":0.6026707887649536},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5662452578544617},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5626519918441772},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5224199295043945},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.4776248335838318},{"id":"https://openalex.org/C169805256","wikidata":"https://www.wikidata.org/wiki/Q1361381","display_name":"Transform coding","level":4,"score":0.45125189423561096},{"id":"https://openalex.org/C198751489","wikidata":"https://www.wikidata.org/wiki/Q2195","display_name":"JPEG","level":3,"score":0.4195854663848877},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.3647897243499756},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3550349175930023},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3358505666255951},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.2769238352775574},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.21244403719902039},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.1430017650127411},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mmsp.2007.4412878","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp.2007.4412878","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE 9th Workshop on Multimedia Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W2125121741","https://openalex.org/W2136405341","https://openalex.org/W2143702152"],"related_works":["https://openalex.org/W2147992969","https://openalex.org/W4200377430","https://openalex.org/W2050803949","https://openalex.org/W2147471256","https://openalex.org/W2056969099","https://openalex.org/W2155757435","https://openalex.org/W3173668917","https://openalex.org/W2040352205","https://openalex.org/W4387445182","https://openalex.org/W2039662546"],"abstract_inverted_index":{"Transform":[0],"image":[1,38],"coding":[2],"and":[3,24,87],"more":[4],"particularly":[5],"the":[6,44,49,62,70,77,93],"subclass":[7],"of":[8,69,102],"block":[9],"based":[10],"transformations":[11],"are":[12,30],"widely":[13],"used":[14],"to":[15,60,75,98],"compress":[16],"images.":[17],"The":[18,80],"JPEG":[19],"standard":[20],"for":[21,28],"still":[22],"images":[23],"MPEG":[25],"codec":[26],"specifications":[27],"video":[29],"very":[31],"efficient":[32],"implementations,":[33],"but":[34],"these":[35],"algorithms":[36],"perform":[37],"reconstruction":[39,78],"without":[40],"taking":[41],"into":[42,92],"account":[43],"quantization":[45,71],"operations":[46,91],"performed":[47],"on":[48],"transform":[50],"coefficients.":[51],"In":[52],"this":[53],"paper,":[54],"we":[55],"propose":[56],"an":[57],"adaptive":[58],"algorithm":[59,82],"tune":[61],"inverse":[63,94],"transformation":[64,95],"matrix":[65],"as":[66],"a":[67,99],"function":[68],"level":[72],"in":[73],"order":[74],"minimize":[76],"error.":[79],"developed":[81],"provides":[83],"quality":[84],"scalability":[85,101],"features":[86],"also":[88],"integrates":[89],"resizing":[90],"process":[96],"leading":[97],"spatial":[100],"fractional":[103],"factors.":[104]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}