{"id":"https://openalex.org/W2148861739","doi":"https://doi.org/10.1109/icip.2009.5414479","title":"Rate distortion optimized curve determination for curved wavelet image coding","display_name":"Rate distortion optimized curve determination for curved wavelet image coding","publication_year":2009,"publication_date":"2009-11-01","ids":{"openalex":"https://openalex.org/W2148861739","doi":"https://doi.org/10.1109/icip.2009.5414479","mag":"2148861739"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2009.5414479","is_oa":true,"landing_page_url":"https://doi.org/10.1109/icip.2009.5414479","pdf_url":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5414479","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 16th IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5414479","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101826154","display_name":"Dong Zheng","orcid":"https://orcid.org/0000-0002-0831-6267"},"institutions":[{"id":"https://openalex.org/I4210151552","display_name":"Communications Research Centre Canada","ror":"https://ror.org/05dybt340","country_code":"CA","type":"facility","lineage":["https://openalex.org/I4210151552"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Dong Zheng","raw_affiliation_strings":["Communications Rcscarch Centre, Ottawa, ONT, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Communications Rcscarch Centre, Ottawa, ONT, Canada","institution_ids":["https://openalex.org/I4210151552"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100425173","display_name":"Liang Zhang","orcid":"https://orcid.org/0000-0002-0580-6412"},"institutions":[{"id":"https://openalex.org/I4210151552","display_name":"Communications Research Centre Canada","ror":"https://ror.org/05dybt340","country_code":"CA","type":"facility","lineage":["https://openalex.org/I4210151552"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Liang Zhang","raw_affiliation_strings":["Communications Rcscarch Centre, Ottawa, ONT, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Communications Rcscarch Centre, Ottawa, ONT, Canada","institution_ids":["https://openalex.org/I4210151552"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102006383","display_name":"Demin Wang","orcid":"https://orcid.org/0000-0002-3494-5147"},"institutions":[{"id":"https://openalex.org/I4210151552","display_name":"Communications Research Centre Canada","ror":"https://ror.org/05dybt340","country_code":"CA","type":"facility","lineage":["https://openalex.org/I4210151552"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Demin Wang","raw_affiliation_strings":["Communications Rcscarch Centre, Ottawa, ONT, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Communications Rcscarch Centre, Ottawa, ONT, Canada","institution_ids":["https://openalex.org/I4210151552"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109136456","display_name":"A. Vincent","orcid":null},"institutions":[{"id":"https://openalex.org/I4210151552","display_name":"Communications Research Centre Canada","ror":"https://ror.org/05dybt340","country_code":"CA","type":"facility","lineage":["https://openalex.org/I4210151552"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Andre Vincent","raw_affiliation_strings":["Communications Rcscarch Centre, Ottawa, ONT, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Communications Rcscarch Centre, Ottawa, ONT, Canada","institution_ids":["https://openalex.org/I4210151552"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210151552"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2829","last_page":"2832"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9997000098228455,"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/T10688","display_name":"Image and Signal Denoising Methods","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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9984999895095825,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9980999827384949,"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/wavelet-transform","display_name":"Wavelet transform","score":0.5988181829452515},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5976150035858154},{"id":"https://openalex.org/keywords/block-size","display_name":"Block size","score":0.4955505132675171},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4887842833995819},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.48179954290390015},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.4738108217716217},{"id":"https://openalex.org/keywords/rate\u2013distortion-optimization","display_name":"Rate\u2013distortion optimization","score":0.45909127593040466},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45072320103645325},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.4395521283149719},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.43393439054489136},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.4287331700325012},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.41207677125930786},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.10063520073890686},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07631880044937134}],"concepts":[{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.5988181829452515},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5976150035858154},{"id":"https://openalex.org/C41431624","wikidata":"https://www.wikidata.org/wiki/Q1053357","display_name":"Block size","level":3,"score":0.4955505132675171},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4887842833995819},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48179954290390015},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.4738108217716217},{"id":"https://openalex.org/C50056821","wikidata":"https://www.wikidata.org/wiki/Q774502","display_name":"Rate\u2013distortion optimization","level":5,"score":0.45909127593040466},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45072320103645325},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.4395521283149719},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.43393439054489136},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.4287331700325012},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41207677125930786},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.10063520073890686},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07631880044937134},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.0},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C23431618","wikidata":"https://www.wikidata.org/wiki/Q1404672","display_name":"Multiview Video Coding","level":4,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2009.5414479","is_oa":true,"landing_page_url":"https://doi.org/10.1109/icip.2009.5414479","pdf_url":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5414479","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 16th IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1109/icip.2009.5414479","is_oa":true,"landing_page_url":"https://doi.org/10.1109/icip.2009.5414479","pdf_url":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5414479","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 16th IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.6299999952316284,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W1979725798","https://openalex.org/W2034039997","https://openalex.org/W2091659514","https://openalex.org/W2159449325"],"related_works":["https://openalex.org/W2085792030","https://openalex.org/W1588899229","https://openalex.org/W2172291505","https://openalex.org/W2023142747","https://openalex.org/W2063036707","https://openalex.org/W2037009764","https://openalex.org/W2501033992","https://openalex.org/W2377605153","https://openalex.org/W2088723847","https://openalex.org/W2094847008"],"abstract_inverted_index":{"The":[0],"curved":[1],"wavelet":[2,12],"transform":[3,13],"(CWT)":[4],"was":[5],"developed":[6],"to":[7,42,126],"enhance":[8],"compactness":[9],"of":[10,35,62,88,139,155],"the":[11,21,30,36,40,50,60,77,86,97,113,127,133,137,145,149,158],"(WT)":[14],"representation.":[15],"Curve":[16],"determination":[17],"is":[18,45,56,104],"critical":[19],"for":[20,76,151],"CWT":[22,65,129],"because":[23],"a":[24],"well-defined":[25],"curve":[26,51,78],"set":[27],"can":[28,116],"increase":[29],"performance":[31,153],"gain":[32],"in":[33,53,80],"terms":[34],"rate-distortion":[37],"(R-D).":[38],"Conventionally,":[39],"image":[41,119],"be":[43],"encoded":[44],"divided":[46],"into":[47,93],"blocks":[48,90],"and":[49,85,142],"orientation":[52],"each":[54],"block":[55,83],"independently":[57],"determined":[58],"through":[59],"minimization":[61],"its":[63],"high-pass":[64],"energy.":[66],"In":[67],"this":[68],"paper,":[69],"we":[70],"propose":[71],"an":[72,100],"R-D":[73],"optimization":[74,143],"algorithm":[75,115],"determination,":[79],"which":[81],"variable":[82],"size":[84],"impact":[87],"neighboring":[89],"are":[91],"taken":[92],"account.":[94],"To":[95],"reduce":[96],"computational":[98,140],"cost,":[99],"alternative":[101],"sampling":[102],"strategy":[103],"exploited.":[105],"Experiment":[106],"results":[107],"with":[108,157],"natural":[109],"images":[110],"show":[111],"that":[112],"proposed":[114,134],"provide":[117],"better":[118],"quality,":[120],"measured":[121],"objectively":[122],"or":[123],"subjectively,":[124],"compared":[125],"conventional":[128],"coding":[130],"algorithm.":[131],"Importantly,":[132],"approach":[135],"overcomes":[136],"hurdles":[138],"cost":[141],"at":[144],"global":[146],"level":[147],"opens":[148],"door":[150],"further":[152],"enhancements":[154],"applications":[156],"CWT.":[159]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
