{"id":"https://openalex.org/W2032482940","doi":"https://doi.org/10.1117/12.354706","title":"<title>Improved wavelet-based multiresolution edge detection in noisy images</title>","display_name":"<title>Improved wavelet-based multiresolution edge detection in noisy images</title>","publication_year":1999,"publication_date":"1999-07-21","ids":{"openalex":"https://openalex.org/W2032482940","doi":"https://doi.org/10.1117/12.354706","mag":"2032482940"},"language":"en","primary_location":{"id":"doi:10.1117/12.354706","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.354706","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","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/A5057105644","display_name":"Yunwoo Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I106959904","display_name":"Florida Institute of Technology","ror":"https://ror.org/04atsbb87","country_code":"US","type":"education","lineage":["https://openalex.org/I106959904"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yunwoo Lee","raw_affiliation_strings":["Florida Institute of Technology (United States)","Florida Institute of Technology, United States"],"affiliations":[{"raw_affiliation_string":"Florida Institute of Technology (United States)","institution_ids":["https://openalex.org/I106959904"]},{"raw_affiliation_string":"Florida Institute of Technology, United States","institution_ids":["https://openalex.org/I106959904"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065755721","display_name":"Samuel P. Kozaitis","orcid":"https://orcid.org/0000-0003-0120-7217"},"institutions":[{"id":"https://openalex.org/I106959904","display_name":"Florida Institute of Technology","ror":"https://ror.org/04atsbb87","country_code":"US","type":"education","lineage":["https://openalex.org/I106959904"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Samuel P. Kozaitis","raw_affiliation_strings":["Florida Institute of Technology (United States)","Florida Institute of Technology, United States"],"affiliations":[{"raw_affiliation_string":"Florida Institute of Technology (United States)","institution_ids":["https://openalex.org/I106959904"]},{"raw_affiliation_string":"Florida Institute of Technology, United States","institution_ids":["https://openalex.org/I106959904"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5057105644"],"corresponding_institution_ids":["https://openalex.org/I106959904"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.16106769,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"3716","issue":null,"first_page":"185","last_page":"193"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9769999980926514,"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":0.9769999980926514,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9736999869346619,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9718000292778015,"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/wavelet","display_name":"Wavelet","score":0.8508442044258118},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6968521475791931},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.6567608118057251},{"id":"https://openalex.org/keywords/multiresolution-analysis","display_name":"Multiresolution analysis","score":0.6538727879524231},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6068207025527954},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.5947133302688599},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.5838008522987366},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5699024200439453},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5665007829666138},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5383006930351257},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.53575599193573},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5283825397491455},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4438193440437317},{"id":"https://openalex.org/keywords/stationary-wavelet-transform","display_name":"Stationary wavelet transform","score":0.42532408237457275},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4088044762611389},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.33284491300582886},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.25456488132476807},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09375855326652527}],"concepts":[{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.8508442044258118},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6968521475791931},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.6567608118057251},{"id":"https://openalex.org/C121927907","wikidata":"https://www.wikidata.org/wiki/Q1952516","display_name":"Multiresolution analysis","level":5,"score":0.6538727879524231},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6068207025527954},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.5947133302688599},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.5838008522987366},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5699024200439453},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5665007829666138},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5383006930351257},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.53575599193573},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5283825397491455},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4438193440437317},{"id":"https://openalex.org/C73339587","wikidata":"https://www.wikidata.org/wiki/Q1375942","display_name":"Stationary wavelet transform","level":5,"score":0.42532408237457275},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4088044762611389},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.33284491300582886},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.25456488132476807},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09375855326652527},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.354706","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.354706","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2085792030","https://openalex.org/W1588899229","https://openalex.org/W1967182499","https://openalex.org/W2037009764","https://openalex.org/W2023142747","https://openalex.org/W2501033992","https://openalex.org/W2088723847","https://openalex.org/W2120966954","https://openalex.org/W3021969771","https://openalex.org/W2377605153"],"abstract_inverted_index":{"We":[0,65],"used":[1,20],"the":[2,6,36,46,55],"multiresolution":[3],"property":[4],"of":[5,42,48,63,74],"discrete":[7],"wavelet":[8,31,37],"transform":[9],"to":[10,23,28,44,77,87],"detect":[11],"edges":[12],"in":[13,57,92],"noisy":[14,30,75,93],"images.":[15,94],"In":[16,50],"our":[17,52],"approach,":[18],"we":[19,34],"wavelets":[21],"corresponding":[22],"1st":[24],"and":[25,70],"2nd":[26],"derivatives":[27],"generate":[29],"coefficients.":[32],"Then,":[33],"compared":[35,71],"coefficients":[38],"as":[39,60],"a":[40,61,78],"function":[41,62],"scale":[43],"reduce":[45],"effects":[47],"noise.":[49],"addition,":[51],"approach":[53],"considered":[54],"change":[56],"edge":[58,81,89],"position":[59],"scale.":[64],"analyzed":[66],"1D":[67],"experimental":[68],"result":[69,91],"2D":[72],"results":[73,85],"images":[76],"more":[79],"common":[80],"detection":[82,90],"method.":[83],"Our":[84],"lead":[86],"improved":[88]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}