{"id":"https://openalex.org/W2163649293","doi":"https://doi.org/10.1109/dcc.2008.81","title":"Can Lower Resolution Be Better?","display_name":"Can Lower Resolution Be Better?","publication_year":2008,"publication_date":"2008-03-01","ids":{"openalex":"https://openalex.org/W2163649293","doi":"https://doi.org/10.1109/dcc.2008.81","mag":"2163649293"},"language":"en","primary_location":{"id":"doi:10.1109/dcc.2008.81","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dcc.2008.81","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,"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":"Data Compression Conference (dcc 2008)","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/A5100630101","display_name":"Xiangjun Zhang","orcid":"https://orcid.org/0000-0002-0283-1786"},"institutions":[{"id":"https://openalex.org/I98251732","display_name":"McMaster University","ror":"https://ror.org/02fa3aq29","country_code":"CA","type":"education","lineage":["https://openalex.org/I98251732"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Xiangjun Zhang","raw_affiliation_strings":["Department of Electrical & Computer Engineering, McMaster University, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical & Computer Engineering, McMaster University, Canada","institution_ids":["https://openalex.org/I98251732"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101467563","display_name":"Xiaolin Wu","orcid":"https://orcid.org/0000-0002-7230-9168"},"institutions":[{"id":"https://openalex.org/I98251732","display_name":"McMaster University","ror":"https://ror.org/02fa3aq29","country_code":"CA","type":"education","lineage":["https://openalex.org/I98251732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Xiaolin Wu","raw_affiliation_strings":["Department of Electrical & Computer Engineering, McMaster University, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical & Computer Engineering, McMaster University, Canada","institution_ids":["https://openalex.org/I98251732"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100630101"],"corresponding_institution_ids":["https://openalex.org/I98251732"],"apc_list":null,"apc_paid":null,"fwci":3.1606,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.92669075,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"302","last_page":"311"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998999834060669,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998999834060669,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing 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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7220368981361389},{"id":"https://openalex.org/keywords/oversampling","display_name":"Oversampling","score":0.7098500728607178},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.5866336226463318},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5505833029747009},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5330900549888611},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5123063325881958},{"id":"https://openalex.org/keywords/jpeg","display_name":"JPEG","score":0.5087915062904358},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.5076090097427368},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.47075584530830383},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.43444231152534485},{"id":"https://openalex.org/keywords/rate\u2013distortion-theory","display_name":"Rate\u2013distortion theory","score":0.42276760935783386},{"id":"https://openalex.org/keywords/jpeg-2000","display_name":"JPEG 2000","score":0.4176889657974243},{"id":"https://openalex.org/keywords/nyquist-rate","display_name":"Nyquist rate","score":0.4100586771965027},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.3654613494873047},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.29312819242477417},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.23139351606369019},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.21163326501846313},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.12885233759880066},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08694064617156982}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7220368981361389},{"id":"https://openalex.org/C197323446","wikidata":"https://www.wikidata.org/wiki/Q331222","display_name":"Oversampling","level":3,"score":0.7098500728607178},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.5866336226463318},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5505833029747009},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5330900549888611},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5123063325881958},{"id":"https://openalex.org/C198751489","wikidata":"https://www.wikidata.org/wiki/Q2195","display_name":"JPEG","level":3,"score":0.5087915062904358},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.5076090097427368},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.47075584530830383},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.43444231152534485},{"id":"https://openalex.org/C64185310","wikidata":"https://www.wikidata.org/wiki/Q843483","display_name":"Rate\u2013distortion theory","level":3,"score":0.42276760935783386},{"id":"https://openalex.org/C69216139","wikidata":"https://www.wikidata.org/wiki/Q931783","display_name":"JPEG 2000","level":5,"score":0.4176889657974243},{"id":"https://openalex.org/C65914096","wikidata":"https://www.wikidata.org/wiki/Q6273772","display_name":"Nyquist rate","level":4,"score":0.4100586771965027},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.3654613494873047},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.29312819242477417},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.23139351606369019},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.21163326501846313},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.12885233759880066},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08694064617156982}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dcc.2008.81","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dcc.2008.81","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,"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":"Data Compression Conference (dcc 2008)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.9100000262260437,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1978451268","https://openalex.org/W2091659514","https://openalex.org/W2117853853","https://openalex.org/W2152510746","https://openalex.org/W2154414774"],"related_works":["https://openalex.org/W2103898286","https://openalex.org/W2441603424","https://openalex.org/W2559981033","https://openalex.org/W4242173009","https://openalex.org/W2889282859","https://openalex.org/W2542654834","https://openalex.org/W4243959093","https://openalex.org/W347960132","https://openalex.org/W1994319845","https://openalex.org/W2059269782"],"abstract_inverted_index":{"Recently,":[0],"many":[1],"researchers":[2],"started":[3],"to":[4,78,96,138],"question":[5],"a":[6,32,49,61,104,170],"long-standing":[7],"paradox":[8],"in":[9,39,129,133],"the":[10,43,56,89,97,110],"engineering":[11],"practice":[12],"of":[13,35,64,112],"digital":[14],"photography:":[15],"oversampling":[16,155],"followed":[17],"by":[18,48,100],"compression,":[19],"and":[20,42,73,83,92,109,121,142,160],"pursue":[21],"more":[22],"intelligent":[23],"sparse":[24],"sampling":[25,38,44],"techniques.":[26],"In":[27],"this":[28],"research":[29],"we":[30],"take":[31],"practical":[33],"approach":[34],"uniform":[36],"down":[37],"image":[40,59,63,80,91,131,178],"space,":[41],"is":[45,60],"made":[46],"adaptive":[47,119],"spatially":[50],"varying":[51],"directional":[52,113],"low-pass":[53,114],"prefiltering.":[54],"Since":[55],"down-sampled":[57],"prefiltered":[58],"low-resolution":[62,90],"conventional":[65],"square":[66],"sample":[67],"grid,":[68],"it":[69,95,164],"can":[70],"be":[71],"compressed":[72],"transmitted":[74],"without":[75],"any":[76],"change":[77],"current":[79],"coding":[81],"standards":[82],"systems.":[84],"The":[85,116],"decoder":[86],"first":[87],"decompresses":[88],"then":[93],"upsamples":[94],"original":[98],"resolution":[99],"least-square":[101],"estimation":[102],"using":[103],"2D":[105],"piecewise":[106],"autoregressive":[107],"model":[108],"knowledge":[111],"filter.":[115],"proposed":[117],"joint":[118],"down-sampling":[120],"up-sampling":[122],"technique":[123],"outperforms":[124],"JPEG":[125],"2000":[126],"(the":[127],"state-of-the-art":[128],"lossy":[130],"coding)":[132],"PSNR":[134],"measure":[135],"at":[136,147,180],"low":[137],"modest":[139],"bit":[140,149,182],"rates":[141],"achieves":[143],"superior":[144],"visual":[145],"quality":[146,179],"all":[148],"rates.":[150,183],"This":[151],"work":[152],"shows":[153],"that":[154],"not":[156],"only":[157],"increases":[158],"cost":[159],"energy":[161],"consumption,":[162],"but":[163],"could,":[165],"even":[166],"when":[167],"coupled":[168],"with":[169],"sophisticated":[171],"rate-distortion":[172],"optimized":[173],"compression":[174],"scheme,":[175],"cause":[176],"inferior":[177],"certain":[181]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}