{"id":"https://openalex.org/W3172903847","doi":"https://doi.org/10.1109/tip.2021.3087404","title":"Diversity Image Coding Using Irregular Interpolation","display_name":"Diversity Image Coding Using Irregular Interpolation","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3172903847","doi":"https://doi.org/10.1109/tip.2021.3087404","mag":"3172903847","pmid":"https://pubmed.ncbi.nlm.nih.gov/34125679"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2021.3087404","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2021.3087404","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5063289368","display_name":"Mor Goren","orcid":"https://orcid.org/0000-0001-9885-1548"},"institutions":[{"id":"https://openalex.org/I458620863","display_name":"Mellanox Technologies (Israel)","ror":"https://ror.org/00gym2132","country_code":"IL","type":"company","lineage":["https://openalex.org/I4210088690","https://openalex.org/I458620863"]},{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"Mor Goren","raw_affiliation_strings":["Nvidia Corporation (Formerly Mellanox Technologies), Tel Aviv, Israel","Tel Aviv University, Tel Aviv, Israel"],"affiliations":[{"raw_affiliation_string":"Nvidia Corporation (Formerly Mellanox Technologies), Tel Aviv, Israel","institution_ids":["https://openalex.org/I458620863"]},{"raw_affiliation_string":"Tel Aviv University, Tel Aviv, Israel","institution_ids":["https://openalex.org/I16391192"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027550575","display_name":"Ram Zamir","orcid":"https://orcid.org/0000-0003-1800-3886"},"institutions":[{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Ram Zamir","raw_affiliation_strings":["Tel Aviv University, Tel Aviv, Israel"],"affiliations":[{"raw_affiliation_string":"Tel Aviv University, Tel Aviv, Israel","institution_ids":["https://openalex.org/I16391192"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5063289368"],"corresponding_institution_ids":["https://openalex.org/I16391192","https://openalex.org/I458620863"],"apc_list":null,"apc_paid":null,"fwci":0.2882,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.5453268,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"30","issue":null,"first_page":"5665","last_page":"5677"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9986000061035156,"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"}},{"id":"https://openalex.org/T11034","display_name":"Digital Filter Design and Implementation","score":0.9983999729156494,"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/algorithm","display_name":"Algorithm","score":0.5695008039474487},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5015416145324707},{"id":"https://openalex.org/keywords/multiple-description-coding","display_name":"Multiple description coding","score":0.5005378723144531},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.49866604804992676},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.44854116439819336},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4471573233604431},{"id":"https://openalex.org/keywords/oversampling","display_name":"Oversampling","score":0.4103577136993408},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.27707910537719727},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.2186344861984253},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11586898565292358},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.0793813169002533}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5695008039474487},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5015416145324707},{"id":"https://openalex.org/C135554599","wikidata":"https://www.wikidata.org/wiki/Q3682206","display_name":"Multiple description coding","level":3,"score":0.5005378723144531},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.49866604804992676},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.44854116439819336},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4471573233604431},{"id":"https://openalex.org/C197323446","wikidata":"https://www.wikidata.org/wiki/Q331222","display_name":"Oversampling","level":3,"score":0.4103577136993408},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27707910537719727},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.2186344861984253},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11586898565292358},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0793813169002533},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2021.3087404","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2021.3087404","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:34125679","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34125679","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2690268263","display_name":null,"funder_award_id":"676/15","funder_id":"https://openalex.org/F4320322252","funder_display_name":"Israel Science Foundation"},{"id":"https://openalex.org/G3140198616","display_name":null,"funder_award_id":"2623/2","funder_id":"https://openalex.org/F4320322252","funder_display_name":"Israel Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320322252","display_name":"Israel Science Foundation","ror":"https://ror.org/04sazxf24"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W135348318","https://openalex.org/W1026888837","https://openalex.org/W1580306787","https://openalex.org/W1965510685","https://openalex.org/W1966245736","https://openalex.org/W2005596451","https://openalex.org/W2011564903","https://openalex.org/W2012383325","https://openalex.org/W2025853923","https://openalex.org/W2040903332","https://openalex.org/W2042711474","https://openalex.org/W2045589498","https://openalex.org/W2047783820","https://openalex.org/W2067942616","https://openalex.org/W2096102601","https://openalex.org/W2100224231","https://openalex.org/W2104270773","https://openalex.org/W2108680854","https://openalex.org/W2114939100","https://openalex.org/W2115002753","https://openalex.org/W2123095296","https://openalex.org/W2124526648","https://openalex.org/W2128340084","https://openalex.org/W2133665775","https://openalex.org/W2138571053","https://openalex.org/W2139640896","https://openalex.org/W2148037789","https://openalex.org/W2152316537","https://openalex.org/W2153045475","https://openalex.org/W2154979977","https://openalex.org/W2164233756","https://openalex.org/W2165431017","https://openalex.org/W2166113168","https://openalex.org/W2231815158","https://openalex.org/W2270451106","https://openalex.org/W2273695720","https://openalex.org/W2278516246","https://openalex.org/W2296125569","https://openalex.org/W2576310190","https://openalex.org/W2751884957","https://openalex.org/W2917949019","https://openalex.org/W2945367925","https://openalex.org/W2963169799","https://openalex.org/W4237064274","https://openalex.org/W4241993145","https://openalex.org/W6605472123","https://openalex.org/W6653308245"],"related_works":["https://openalex.org/W2766503024","https://openalex.org/W4206637278","https://openalex.org/W4386005305","https://openalex.org/W3173198409","https://openalex.org/W3082051559","https://openalex.org/W2781247653","https://openalex.org/W4386214543","https://openalex.org/W1506980438","https://openalex.org/W2158034396","https://openalex.org/W1969412744"],"abstract_inverted_index":{"Diversity":[0],"\"multiple":[1],"description\"":[2],"(MD)":[3],"source":[4,37],"coding":[5,25,54,116,191],"promises":[6],"graceful":[7],"degradation":[8,219],"in":[9,20,70,225],"the":[10,21,28,36,61,71,79,107,129,135,152,180,184,203,226,245,251,254],"presence":[11],"of":[12,17,30,34,41,92,97,144,205,213,247],"a":[13,39,56,89,121,141,156,188],"priori":[14],"unknown":[15],"number":[16,91,143],"erased":[18],"packets":[19,32,207,231],"channel.":[22],"A":[23],"simple":[24],"scheme":[26,117],"for":[27,88,187],"case":[29,227],"two":[31,42,66],"consists":[33],"oversampling":[35],"by":[38,178],"factor":[40],"and":[43,63,166,170,239,243,260],"delta-sigma":[44],"quantization.":[45],"This":[46],"approach":[47,83],"was":[48],"applied":[49],"successfully":[50],"to":[51,119,140,202,221],"JPEG-based":[52],"image":[53],"over":[55,208],"lossy":[57],"packet":[58],"network,":[59],"where":[60,228],"interpolation":[62,168,181,198,224,241],"splitting":[64],"into":[65],"descriptions":[67,131,154],"are":[68,132],"done":[69],"discrete":[72],"cosine":[73],"transform":[74],"(DCT)":[75],"domain.":[76],"Moreover,":[77],"unlike":[78],"classical":[80],"source-channel":[81],"separation":[82],"-":[84,113],"which":[85],"is":[86,200],"designed":[87],"predetermined":[90],"erasures":[93],"(say,":[94],"K":[95,211,264],"out":[96,212],"N":[98,130,214,230],"),":[99],"hence":[100],"its":[101],"distortion":[102,256,262],"does":[103],"not":[104],"improve":[105],"when":[106,125],"channel":[108],"behaves":[109],"better":[110,122],"than":[111],"expected":[112],"an":[114,196],"MD":[115],"aims":[118],"achieve":[120],"reconstruction":[123],"quality":[124],"more":[126],"or":[127],"all":[128,209,229,258],"received":[133,153,206],"at":[134,183],"decoder":[136],"side.":[137],"The":[138],"extension":[139],"larger":[142],"descriptions,":[145],"however,":[146],"suffers":[147],"from":[148],"noise":[149,173,248],"amplification":[150,174],"whenever":[151],"form":[155],"non-uniform":[157],"sampling":[158],"pattern.":[159],"In":[160],"this":[161],"work,":[162],"we":[163,193],"examine":[164,244],"inter-":[165],"intra-block":[167],"methods,":[169],"show":[171],"how":[172],"can":[175],"be":[176],"reduced":[177],"redesigning":[179],"filter":[182,199],"encoder.":[185],"Specifically,":[186],"given":[189],"total":[190],"rate,":[192],"demonstrate":[194],"that":[195],"\"irregular\"":[197],"robust":[201],"pattern":[204],"(":[210],")":[215],"patterns,":[216],"with":[217],"some":[218],"relative":[220],"low-pass":[222],"(LP)":[223],"arrived.":[232],"We":[233],"provide":[234],"experimental":[235],"results":[236],"comparing":[237],"LP":[238],"irregular":[240],"filters,":[242],"effect":[246],"shaping":[249],"on":[250],"trade-off":[252],"between":[253],"central":[255],"(receiving":[257,263],"packets)":[259],"side":[261],"packets).":[265]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}