{"id":"https://openalex.org/W1549694559","doi":"https://doi.org/10.1109/cimca.2005.1631234","title":"High-resolution Image Reconstruction And Its Fast Algorithm","display_name":"High-resolution Image Reconstruction And Its Fast Algorithm","publication_year":2006,"publication_date":"2006-05-25","ids":{"openalex":"https://openalex.org/W1549694559","doi":"https://doi.org/10.1109/cimca.2005.1631234","mag":"1549694559"},"language":"en","primary_location":{"id":"doi:10.1109/cimca.2005.1631234","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cimca.2005.1631234","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'06)","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/A5072844463","display_name":"Shengwei Pei","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shengwei Pei","raw_affiliation_strings":["School of Electrical and Information Engineering, South China University of Technology, Guangzhou, Guangdong, China","Sch. of Electr. & Inf. Eng., South China Univ. of Technol., Guangzhou"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, South China University of Technology, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"Sch. of Electr. & Inf. Eng., South China Univ. of Technol., Guangzhou","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079945126","display_name":"Minghui Du","orcid":"https://orcid.org/0000-0003-1386-8813"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minghui Du","raw_affiliation_strings":["School of Electrical and Information Engineering, South China University of Technology, Guangzhou, Guangdong, China","Sch. of Electr. & Inf. Eng., South China Univ. of Technol., Guangzhou"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, South China University of Technology, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"Sch. of Electr. & Inf. Eng., South China Univ. of Technol., Guangzhou","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5072844463"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0524604,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"8","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998000264167786,"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":0.9998000264167786,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9987999796867371,"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","display_name":"Wavelet","score":0.8279780149459839},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6356883645057678},{"id":"https://openalex.org/keywords/biorthogonal-wavelet","display_name":"Biorthogonal wavelet","score":0.6028938889503479},{"id":"https://openalex.org/keywords/biorthogonal-system","display_name":"Biorthogonal system","score":0.560896098613739},{"id":"https://openalex.org/keywords/cascade-algorithm","display_name":"Cascade algorithm","score":0.5404084920883179},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.5241394639015198},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5146116018295288},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.5011730194091797},{"id":"https://openalex.org/keywords/stationary-wavelet-transform","display_name":"Stationary wavelet transform","score":0.4964945912361145},{"id":"https://openalex.org/keywords/lifting-scheme","display_name":"Lifting scheme","score":0.4787684977054596},{"id":"https://openalex.org/keywords/wavelet-packet-decomposition","display_name":"Wavelet packet decomposition","score":0.40561747550964355},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3984910249710083},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32911139726638794},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3229143023490906}],"concepts":[{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.8279780149459839},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6356883645057678},{"id":"https://openalex.org/C2778869661","wikidata":"https://www.wikidata.org/wiki/Q4915256","display_name":"Biorthogonal wavelet","level":5,"score":0.6028938889503479},{"id":"https://openalex.org/C158453530","wikidata":"https://www.wikidata.org/wiki/Q864692","display_name":"Biorthogonal system","level":4,"score":0.560896098613739},{"id":"https://openalex.org/C88829872","wikidata":"https://www.wikidata.org/wiki/Q5048176","display_name":"Cascade algorithm","level":5,"score":0.5404084920883179},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.5241394639015198},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5146116018295288},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5011730194091797},{"id":"https://openalex.org/C73339587","wikidata":"https://www.wikidata.org/wiki/Q1375942","display_name":"Stationary wavelet transform","level":5,"score":0.4964945912361145},{"id":"https://openalex.org/C199550912","wikidata":"https://www.wikidata.org/wiki/Q3238415","display_name":"Lifting scheme","level":5,"score":0.4787684977054596},{"id":"https://openalex.org/C155777637","wikidata":"https://www.wikidata.org/wiki/Q2736187","display_name":"Wavelet packet decomposition","level":4,"score":0.40561747550964355},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3984910249710083},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32911139726638794},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3229143023490906}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cimca.2005.1631234","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cimca.2005.1631234","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'06)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.699999988079071}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1519283961","https://openalex.org/W2001332572","https://openalex.org/W2025263014","https://openalex.org/W2046222560","https://openalex.org/W2049367797","https://openalex.org/W2058523468","https://openalex.org/W2061205034","https://openalex.org/W2062024414","https://openalex.org/W2086600055","https://openalex.org/W2095665834","https://openalex.org/W2115755118","https://openalex.org/W2117188745","https://openalex.org/W2118217749","https://openalex.org/W2138433355","https://openalex.org/W4251619700","https://openalex.org/W4252559437","https://openalex.org/W4255272544","https://openalex.org/W7047942340"],"related_works":["https://openalex.org/W1774449297","https://openalex.org/W2380670016","https://openalex.org/W2389244263","https://openalex.org/W2386462288","https://openalex.org/W2059234650","https://openalex.org/W2348033116","https://openalex.org/W2069650205","https://openalex.org/W2369288845","https://openalex.org/W2362207432","https://openalex.org/W1586959851"],"abstract_inverted_index":{"In":[0,76,123],"this":[1,124],"paper,":[2,125],"a":[3,25,119,172],"method":[4,145,158],"based":[5,53],"on":[6,54],"wavelet":[7,10,39,69,86,99,126,131],"and":[8,64,67,134],"multi-band":[9],"lifting":[11,87,127],"scheme":[12,88,128],"is":[13,89,132,185],"proposed":[14],"for":[15,46,129],"high-resolution":[16,47,84,137],"image":[17,23,48,138],"reconstruction.":[18,139],"By":[19],"expressing":[20],"the":[21,55,60,80,93,107,144,148,157,167],"true":[22],"as":[24,102],"square":[26],"integrable":[27],"function,":[28],"Point":[29],"Spread":[30],"Function":[31],"(PSF)":[32],"can":[33,50,117,146,159,176],"be":[34,51,161],"used":[35],"to":[36,78,91,103,136,163],"construct":[37],"biorthogonal":[38,108],"filters":[40,58],"directly,":[41],"thus":[42],"an":[43],"iterative":[44],"algorithm":[45,174],"reconstruction":[49],"derived":[52,133],"filters.":[56,109],"The":[57],"are":[59,71],"piecewise":[61],"linear":[62],"spline":[63],"corresponding":[65],"primal":[66],"dual":[68],"functions":[70,100],"all":[72],"one":[73],"vanishing":[74,96],"moments.":[75],"order":[77],"improve":[79,104,147],"quality":[81,149],"of":[82,95,98,106,150],"reconstructed":[83,151],"images,":[85],"employed":[90],"increase":[92],"numbers":[94],"moments":[97],"so":[101],"performance":[105],"For":[110],"4":[111,113],"\u00d7":[112],"sensor":[114],"arrays,":[115],"we":[116,170],"get":[118],"4-":[120],"dilation":[121],"wavelet.":[122],"fourband":[130],"applied":[135],"Experiment":[140],"results":[141],"show":[142],"that":[143,175],"high":[152,178],"resolution":[153,179],"images":[154,180],"effectively.":[155],"Also,":[156],"easily":[160],"extended":[162],"superresolution":[164],"case.":[165],"At":[166],"same":[168],"time,":[169],"derive":[171],"fast":[173],"reconstruct":[177],"efficiently":[181],"when":[182],"blurring":[183],"matrix":[184,188],"block-circulant-circulant-block":[186],"(BCCB)":[187],"or":[189],"Toeplitze-plus-Hankel":[190,193],"system":[191],"with":[192],"block":[194],"(THTH)":[195],"matrix.":[196]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
