{"id":"https://openalex.org/W2148770129","doi":"https://doi.org/10.1109/icip.2007.4378987","title":"Image Resolution Enhancement using Inter-Subband Correlation in Wavelet Domain","display_name":"Image Resolution Enhancement using Inter-Subband Correlation in Wavelet Domain","publication_year":2007,"publication_date":"2007-09-01","ids":{"openalex":"https://openalex.org/W2148770129","doi":"https://doi.org/10.1109/icip.2007.4378987","mag":"2148770129"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2007.4378987","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2007.4378987","pdf_url":null,"source":{"id":"https://openalex.org/S4210223844","display_name":"Proceedings - International Conference on Image Processing","issn_l":"1522-4880","issn":["1522-4880","2381-8549"],"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":"2007 IEEE International Conference on Image Processing","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/A5033035268","display_name":"Yinji Piao","orcid":"https://orcid.org/0000-0003-4242-6758"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Yinji Piao","raw_affiliation_strings":["Korea Advanced Institute of Science and Technology, School of Electrical Engineering and Computer Science, Daejeon, South Korea"],"affiliations":[{"raw_affiliation_string":"Korea Advanced Institute of Science and Technology, School of Electrical Engineering and Computer Science, Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5098374339","display_name":"ll-hong Shin","orcid":null},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"ll-hong Shin","raw_affiliation_strings":["Korea Advanced Institute of Science and Technology, School of Electrical Engineering and Computer Science, Daejeon, South Korea"],"affiliations":[{"raw_affiliation_string":"Korea Advanced Institute of Science and Technology, School of Electrical Engineering and Computer Science, Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102949972","display_name":"HyunWook Park","orcid":"https://orcid.org/0000-0002-4757-1922"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"HyunWook Park","raw_affiliation_strings":["Korea Advanced Institute of Science and Technology, School of Electrical Engineering and Computer Science, Daejeon, South Korea"],"affiliations":[{"raw_affiliation_string":"Korea Advanced Institute of Science and Technology, School of Electrical Engineering and Computer Science, Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5033035268"],"corresponding_institution_ids":["https://openalex.org/I157485424"],"apc_list":null,"apc_paid":null,"fwci":1.644,"has_fulltext":false,"cited_by_count":132,"citation_normalized_percentile":{"value":0.85828235,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"I ","last_page":" 445"},"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/T11105","display_name":"Advanced Image Processing Techniques","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/T11019","display_name":"Image Enhancement Techniques","score":0.9976000189781189,"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":0.7395919561386108},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.67157381772995},{"id":"https://openalex.org/keywords/peak-signal-to-noise-ratio","display_name":"Peak signal-to-noise ratio","score":0.5683046579360962},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5525330901145935},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.5291231870651245},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5243287682533264},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.5242981314659119},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.4699069857597351},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.46581199765205383},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4623523950576782},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.45744630694389343},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.44916847348213196},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44569939374923706},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4435769021511078},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.4382937252521515},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.38599899411201477},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3788667917251587},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.37348657846450806},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.31315410137176514},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2134295403957367}],"concepts":[{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.7395919561386108},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.67157381772995},{"id":"https://openalex.org/C154579607","wikidata":"https://www.wikidata.org/wiki/Q3373850","display_name":"Peak signal-to-noise ratio","level":3,"score":0.5683046579360962},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5525330901145935},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.5291231870651245},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5243287682533264},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.5242981314659119},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.4699069857597351},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.46581199765205383},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4623523950576782},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45744630694389343},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.44916847348213196},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44569939374923706},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4435769021511078},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.4382937252521515},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.38599899411201477},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3788667917251587},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.37348657846450806},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.31315410137176514},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2134295403957367},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2007.4378987","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2007.4378987","pdf_url":null,"source":{"id":"https://openalex.org/S4210223844","display_name":"Proceedings - International Conference on Image Processing","issn_l":"1522-4880","issn":["1522-4880","2381-8549"],"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":"2007 IEEE International Conference on Image Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:koasas.kaist.ac.kr:10203/3146","is_oa":false,"landing_page_url":"http://hdl.handle.net/10203/3146","pdf_url":null,"source":{"id":"https://openalex.org/S4306402435","display_name":"KAIST Institutional Repository (KAIST)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I157485424","host_organization_name":"Korea Advanced Institute of Science and Technology","host_organization_lineage":["https://openalex.org/I157485424"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1812759791","https://openalex.org/W1967441049","https://openalex.org/W1982273692","https://openalex.org/W2065169398","https://openalex.org/W2086633600","https://openalex.org/W2098775288","https://openalex.org/W2100564571","https://openalex.org/W2113472597","https://openalex.org/W2115397390","https://openalex.org/W2134929491","https://openalex.org/W2138068359","https://openalex.org/W2140555903","https://openalex.org/W2157464452","https://openalex.org/W2172128189","https://openalex.org/W6642029968","https://openalex.org/W6674891452","https://openalex.org/W6677304453","https://openalex.org/W6680405836"],"related_works":["https://openalex.org/W2085792030","https://openalex.org/W1588899229","https://openalex.org/W2023142747","https://openalex.org/W2172291505","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":{"Wavelet-based":[0],"resolution":[1,7,21],"enhancement":[2,22],"methods":[3,101,106],"improve":[4],"the":[5,10,29,50,56,60,68,76,84,98,103,116],"image":[6],"by":[8,40],"estimating":[9],"high-frequency":[11],"band":[12],"information.":[13],"In":[14],"this":[15],"paper,":[16],"we":[17],"propose":[18],"a":[19],"new":[20],"method":[23,96],"using":[24],"inter-subband":[25],"correlation":[26],"in":[27,32,49,59,75,83,87],"which":[28],"sampling":[30,47],"phase":[31],"DWT":[33],"is":[34],"considered.":[35],"Interpolation":[36],"filters":[37,64],"are":[38,65,79],"designed":[39],"analyzing":[41],"correlations":[42,71],"between":[43,72],"subbands":[44,58,74],"having":[45],"different":[46],"phases":[48],"lower":[51,85],"level,":[52],"and":[53],"applied":[54],"to":[55,81,109],"correlated":[57],"higher":[61,77],"level.":[62],"The":[63,89],"estimated":[66],"under":[67],"assumption":[69],"that":[70,82,93],"two":[73],"level":[78,86],"similar":[80],"DWT.":[88],"experimental":[90],"results":[91],"show":[92],"our":[94],"proposed":[95],"outperforms":[97],"conventional":[99],"interpolation":[100],"including":[102],"other":[104],"wavelet-based":[105],"with":[107],"respect":[108],"peak":[110],"signal-to-noise-ratio":[111],"(PSNR)":[112],"as":[113,115],"well":[114],"subjective":[117],"quality.":[118]},"counts_by_year":[{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":9},{"year":2017,"cited_by_count":10},{"year":2016,"cited_by_count":10},{"year":2015,"cited_by_count":20},{"year":2014,"cited_by_count":31},{"year":2013,"cited_by_count":14},{"year":2012,"cited_by_count":11}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
