{"id":"https://openalex.org/W2078656809","doi":"https://doi.org/10.4018/jcini.2009062302","title":"Modified Gabor Wavelets for Image Decomposition and Perfect Reconstruction","display_name":"Modified Gabor Wavelets for Image Decomposition and Perfect Reconstruction","publication_year":2009,"publication_date":"2009-10-01","ids":{"openalex":"https://openalex.org/W2078656809","doi":"https://doi.org/10.4018/jcini.2009062302","mag":"2078656809"},"language":"en","primary_location":{"id":"doi:10.4018/jcini.2009062302","is_oa":false,"landing_page_url":"https://doi.org/10.4018/jcini.2009062302","pdf_url":null,"source":{"id":"https://openalex.org/S157664362","display_name":"International Journal of Cognitive Informatics and Natural Intelligence","issn_l":"1557-3958","issn":["1557-3958","1557-3966"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Cognitive Informatics and Natural Intelligence","raw_type":"journal-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/A5057604024","display_name":"Reza Fazel-Rezai","orcid":"https://orcid.org/0000-0003-2792-5399"},"institutions":[{"id":"https://openalex.org/I24571045","display_name":"University of North Dakota","ror":"https://ror.org/04a5szx83","country_code":"US","type":"education","lineage":["https://openalex.org/I24571045"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Reza Fazel-Rezai","raw_affiliation_strings":["University of North Dakota, USA","(University of North Dakota, USA)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of North Dakota, USA","institution_ids":["https://openalex.org/I24571045"]},{"raw_affiliation_string":"(University of North Dakota, USA)","institution_ids":["https://openalex.org/I24571045"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038834884","display_name":"Witold Kinsner","orcid":"https://orcid.org/0000-0002-6759-1410"},"institutions":[{"id":"https://openalex.org/I46247651","display_name":"University of Manitoba","ror":"https://ror.org/02gfys938","country_code":"CA","type":"education","lineage":["https://openalex.org/I46247651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Witold Kinsner","raw_affiliation_strings":["University of Manitoba, Canada","University of MANITOBA (Canada)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Manitoba, Canada","institution_ids":["https://openalex.org/I46247651"]},{"raw_affiliation_string":"University of MANITOBA (Canada)","institution_ids":["https://openalex.org/I46247651"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.1193458,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"3","issue":"4","first_page":"19","last_page":"33"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9986000061035156,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9940999746322632,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/gabor-wavelet","display_name":"Gabor wavelet","score":0.9365367889404297},{"id":"https://openalex.org/keywords/gabor-transform","display_name":"Gabor transform","score":0.7210245728492737},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6485280990600586},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6376971006393433},{"id":"https://openalex.org/keywords/gabor-filter","display_name":"Gabor filter","score":0.5732351541519165},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5435651540756226},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49830055236816406},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.46609583497047424},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.35549843311309814},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.32396864891052246},{"id":"https://openalex.org/keywords/time\u2013frequency-analysis","display_name":"Time\u2013frequency analysis","score":0.1984694004058838},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.1932724118232727},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.09321796894073486}],"concepts":[{"id":"https://openalex.org/C136902061","wikidata":"https://www.wikidata.org/wiki/Q16981559","display_name":"Gabor wavelet","level":5,"score":0.9365367889404297},{"id":"https://openalex.org/C173149727","wikidata":"https://www.wikidata.org/wiki/Q996397","display_name":"Gabor transform","level":4,"score":0.7210245728492737},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6485280990600586},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6376971006393433},{"id":"https://openalex.org/C2779883129","wikidata":"https://www.wikidata.org/wiki/Q2447890","display_name":"Gabor filter","level":3,"score":0.5732351541519165},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5435651540756226},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49830055236816406},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.46609583497047424},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.35549843311309814},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.32396864891052246},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.1984694004058838},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.1932724118232727},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.09321796894073486}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.4018/jcini.2009062302","is_oa":false,"landing_page_url":"https://doi.org/10.4018/jcini.2009062302","pdf_url":null,"source":{"id":"https://openalex.org/S157664362","display_name":"International Journal of Cognitive Informatics and Natural Intelligence","issn_l":"1557-3958","issn":["1557-3958","1557-3966"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Cognitive Informatics and Natural Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:igg:jcini0:v:3:y:2009:i:4:p:19-33","is_oa":false,"landing_page_url":"https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jcini.2009062302","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7699999809265137,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W3760727","https://openalex.org/W1544844504","https://openalex.org/W1967032121","https://openalex.org/W1970352604","https://openalex.org/W2005875982","https://openalex.org/W2008136542","https://openalex.org/W2009977434","https://openalex.org/W2033635888","https://openalex.org/W2051889696","https://openalex.org/W2062024414","https://openalex.org/W2063693666","https://openalex.org/W2075529649","https://openalex.org/W2076152832","https://openalex.org/W2079721233","https://openalex.org/W2096684483","https://openalex.org/W2103384342","https://openalex.org/W2106304347","https://openalex.org/W2109930949","https://openalex.org/W2115755118","https://openalex.org/W2138100172","https://openalex.org/W2148486884","https://openalex.org/W2973818247","https://openalex.org/W3021986761","https://openalex.org/W4233714438","https://openalex.org/W4255272544","https://openalex.org/W4292676217"],"related_works":["https://openalex.org/W2070838085","https://openalex.org/W2495360253","https://openalex.org/W3156532881","https://openalex.org/W2382852560","https://openalex.org/W2355879620","https://openalex.org/W1830749786","https://openalex.org/W2066448268","https://openalex.org/W2373012758","https://openalex.org/W2350182551","https://openalex.org/W1977376983"],"abstract_inverted_index":{"This":[0],"article":[1],"presents":[2],"a":[3],"scheme":[4],"for":[5],"image":[6,71,87],"decomposition":[7],"and":[8,35,48,64,84],"perfect":[9,108],"reconstruction":[10],"based":[11],"on":[12],"Gabor":[13,15,43,53,82,96,104],"wavelets.":[14],"functions":[16,44,105],"have":[17,56],"been":[18,57],"used":[19,58,94],"extensively":[20],"in":[21,33,59,70,89],"areas":[22],"related":[23],"to":[24,30,50,76],"the":[25,40,60,78,81,92,102],"human":[26],"visual":[27],"system":[28],"due":[29],"their":[31],"localization":[32],"space":[34],"bandlimited":[36],"properties.":[37],"However,":[38],"since":[39],"standard":[41],"two-sided":[42],"are":[45],"not":[46],"orthogonal":[47],"lead":[49],"nearly":[51],"singular":[52],"matrices,":[54],"they":[55],"decomposition,":[61],"feature":[62],"extraction,":[63],"tracking":[65],"of":[66,80],"images":[67],"rather":[68],"than":[69],"reconstruction.":[72,109],"In":[73],"an":[74],"attempt":[75],"reduce":[77],"singularity":[79],"matrix":[83],"produce":[85],"reliable":[86],"reconstruction,":[88],"this":[90],"article,":[91],"authors":[93],"single-sided":[95],"functions.":[97],"Their":[98],"experiments":[99],"revealed":[100],"that":[101],"modified":[103],"can":[106],"accomplish":[107]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}