{"id":"https://openalex.org/W4390483767","doi":"https://doi.org/10.1515/cmam-2023-0097","title":"Adaptive Image Compression via Optimal Mesh Refinement","display_name":"Adaptive Image Compression via Optimal Mesh Refinement","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4390483767","doi":"https://doi.org/10.1515/cmam-2023-0097"},"language":"en","primary_location":{"id":"doi:10.1515/cmam-2023-0097","is_oa":true,"landing_page_url":"https://doi.org/10.1515/cmam-2023-0097","pdf_url":"https://www.degruyter.com/document/doi/10.1515/cmam-2023-0097/pdf","source":{"id":"https://openalex.org/S2765013998","display_name":"Computational Methods in Applied Mathematics","issn_l":"1609-4840","issn":["1609-4840","1609-9389"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310313990","host_organization_name":"De Gruyter","host_organization_lineage":["https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Methods in Applied Mathematics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://www.degruyter.com/document/doi/10.1515/cmam-2023-0097/pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035803720","display_name":"Michael Feischl","orcid":"https://orcid.org/0000-0001-7206-1652"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Michael Feischl","raw_affiliation_strings":["Institute of Analysis and Scientific Computing , TU Wien , Vienna , Austria"],"affiliations":[{"raw_affiliation_string":"Institute of Analysis and Scientific Computing , TU Wien , Vienna , Austria","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052246323","display_name":"Hubert Hackl","orcid":"https://orcid.org/0000-0003-4055-3841"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":true,"raw_author_name":"Hubert Hackl","raw_affiliation_strings":["Institute of Analysis and Scientific Computing , TU Wien , Vienna , Austria"],"affiliations":[{"raw_affiliation_string":"Institute of Analysis and Scientific Computing , TU Wien , Vienna , Austria","institution_ids":["https://openalex.org/I145847075"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5052246323"],"corresponding_institution_ids":["https://openalex.org/I145847075"],"apc_list":null,"apc_paid":null,"fwci":0.2632,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.45452281,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"24","issue":"2","first_page":"325","last_page":"343"},"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":0.9973999857902527,"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/T11034","display_name":"Digital Filter Design and Implementation","score":0.9966999888420105,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6240955591201782},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.6212588548660278},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6012334823608398},{"id":"https://openalex.org/keywords/jpeg","display_name":"JPEG","score":0.5945128798484802},{"id":"https://openalex.org/keywords/texture-compression","display_name":"Texture compression","score":0.5779797434806824},{"id":"https://openalex.org/keywords/data-compression-ratio","display_name":"Data compression ratio","score":0.5730196237564087},{"id":"https://openalex.org/keywords/compression-ratio","display_name":"Compression ratio","score":0.5143493413925171},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5058850646018982},{"id":"https://openalex.org/keywords/subdivision","display_name":"Subdivision","score":0.4611388146877289},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.450347363948822},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.4207955300807953},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.41509032249450684},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29589390754699707},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2819283604621887},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.23341304063796997}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6240955591201782},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.6212588548660278},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6012334823608398},{"id":"https://openalex.org/C198751489","wikidata":"https://www.wikidata.org/wiki/Q2195","display_name":"JPEG","level":3,"score":0.5945128798484802},{"id":"https://openalex.org/C54243161","wikidata":"https://www.wikidata.org/wiki/Q39333","display_name":"Texture compression","level":5,"score":0.5779797434806824},{"id":"https://openalex.org/C94835093","wikidata":"https://www.wikidata.org/wiki/Q3113333","display_name":"Data compression ratio","level":5,"score":0.5730196237564087},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.5143493413925171},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5058850646018982},{"id":"https://openalex.org/C143392562","wikidata":"https://www.wikidata.org/wiki/Q449111","display_name":"Subdivision","level":2,"score":0.4611388146877289},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.450347363948822},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.4207955300807953},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.41509032249450684},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29589390754699707},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2819283604621887},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.23341304063796997},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"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/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1515/cmam-2023-0097","is_oa":true,"landing_page_url":"https://doi.org/10.1515/cmam-2023-0097","pdf_url":"https://www.degruyter.com/document/doi/10.1515/cmam-2023-0097/pdf","source":{"id":"https://openalex.org/S2765013998","display_name":"Computational Methods in Applied Mathematics","issn_l":"1609-4840","issn":["1609-4840","1609-9389"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310313990","host_organization_name":"De Gruyter","host_organization_lineage":["https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Methods in Applied Mathematics","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1515/cmam-2023-0097","is_oa":true,"landing_page_url":"https://doi.org/10.1515/cmam-2023-0097","pdf_url":"https://www.degruyter.com/document/doi/10.1515/cmam-2023-0097/pdf","source":{"id":"https://openalex.org/S2765013998","display_name":"Computational Methods in Applied Mathematics","issn_l":"1609-4840","issn":["1609-4840","1609-9389"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310313990","host_organization_name":"De Gruyter","host_organization_lineage":["https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Methods in Applied Mathematics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8238022873","display_name":null,"funder_award_id":"258734477","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"}],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4390483767.pdf"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W96856089","https://openalex.org/W253824085","https://openalex.org/W408406386","https://openalex.org/W1975124715","https://openalex.org/W1995479616","https://openalex.org/W2011884938","https://openalex.org/W2026655730","https://openalex.org/W2039924562","https://openalex.org/W2072811159","https://openalex.org/W2082131680","https://openalex.org/W2084743165","https://openalex.org/W2085518012","https://openalex.org/W2092037996","https://openalex.org/W2107813568","https://openalex.org/W2125266964","https://openalex.org/W2139582546","https://openalex.org/W2159780481","https://openalex.org/W2330060617","https://openalex.org/W2505585705","https://openalex.org/W2889072362","https://openalex.org/W2903253245","https://openalex.org/W3080636957"],"related_works":["https://openalex.org/W2768628697","https://openalex.org/W3161858056","https://openalex.org/W3082499749","https://openalex.org/W1973200086","https://openalex.org/W1965503293","https://openalex.org/W3162084246","https://openalex.org/W2388481516","https://openalex.org/W3004418277","https://openalex.org/W2953482628","https://openalex.org/W2026106620"],"abstract_inverted_index":{"Abstract":[0],"The":[1,92],"JPEG":[2,81],"algorithm":[3,73,104],"is":[4,105],"a":[5,27,38,43],"defacto":[6],"standard":[7,80],"for":[8,42],"image":[9,30,108],"compression.":[10],"We":[11,33,67],"investigate":[12],"whether":[13],"adaptive":[14,29],"mesh":[15],"refinement":[16],"can":[17,52,74],"be":[18,53],"used":[19],"to":[20,62,107],"optimize":[21],"the":[22,71,121,124],"compression":[23,31,65,77,82,109],"ratio":[24],"and":[25,59],"propose":[26],"new":[28,72],"algorithm.":[32,66],"prove":[34],"that":[35,70,99],"it":[36],"produces":[37],"quasi-optimal":[39],"subdivision":[40,51],"grid":[41],"given":[44],"error":[45],"norm":[46],"with":[47,55,83,110],"high":[48,111],"probability.":[49],"This":[50],"stored":[54],"very":[56],"little":[57],"overhead":[58],"thus":[60],"leads":[61],"an":[63],"efficient":[64],"demonstrate":[68],"experimentally,":[69],"achieve":[75],"better":[76],"ratios":[78],"than":[79],"no":[84],"visible":[85],"loss":[86],"of":[87,95,123],"quality":[88],"on":[89,120],"many":[90],"images.":[91],"mathematical":[93],"core":[94],"this":[96],"work":[97],"shows":[98],"Binev\u2019s":[100],"optimal":[101],"tree":[102],"approximation":[103],"applicable":[106],"probability,":[112],"when":[113],"we":[114],"assume":[115],"small":[116],"additive":[117],"Gaussian":[118],"noise":[119],"pixels":[122],"image.":[125]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}