{"id":"https://openalex.org/W2058574577","doi":"https://doi.org/10.1142/s0219691309003100","title":"DAUBECHIES COMPLEX WAVELET TRANSFORM BASED MULTILEVEL SHRINKAGE FOR DEBLURRING OF MEDICAL IMAGES IN PRESENCE OF NOISE","display_name":"DAUBECHIES COMPLEX WAVELET TRANSFORM BASED MULTILEVEL SHRINKAGE FOR DEBLURRING OF MEDICAL IMAGES IN PRESENCE OF NOISE","publication_year":2009,"publication_date":"2009-09-01","ids":{"openalex":"https://openalex.org/W2058574577","doi":"https://doi.org/10.1142/s0219691309003100","mag":"2058574577"},"language":"en","primary_location":{"id":"doi:10.1142/s0219691309003100","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219691309003100","pdf_url":null,"source":{"id":"https://openalex.org/S56986848","display_name":"International Journal of Wavelets Multiresolution and Information Processing","issn_l":"0219-6913","issn":["0219-6913","1793-690X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Wavelets, Multiresolution and Information Processing","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/A5042414040","display_name":"Ashish Khare","orcid":"https://orcid.org/0000-0002-1070-877X"},"institutions":[{"id":"https://openalex.org/I168893459","display_name":"University of Allahabad","ror":"https://ror.org/03vrx7m55","country_code":"IN","type":"education","lineage":["https://openalex.org/I168893459"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"ASHISH KHARE","raw_affiliation_strings":["Department of Electronics and Communication, University of Allahabad, Allahabad, 211002, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication, University of Allahabad, Allahabad, 211002, India","institution_ids":["https://openalex.org/I168893459"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060052491","display_name":"Uma Shanker Tiwary","orcid":"https://orcid.org/0000-0001-7206-9013"},"institutions":[{"id":"https://openalex.org/I26072440","display_name":"Indian Institute of Information Technology Allahabad","ror":"https://ror.org/03rgjt374","country_code":"IN","type":"education","lineage":["https://openalex.org/I26072440"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"UMA SHANKER TIWARY","raw_affiliation_strings":["Indian Institute of Information Technology, Allahabad, 211011, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Information Technology, Allahabad, 211011, India","institution_ids":["https://openalex.org/I26072440"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056743652","display_name":"Moongu Jeon","orcid":"https://orcid.org/0000-0002-2775-7789"},"institutions":[{"id":"https://openalex.org/I39534123","display_name":"Gwangju Institute of Science and Technology","ror":"https://ror.org/024kbgz78","country_code":"KR","type":"education","lineage":["https://openalex.org/I39534123"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"MOONGU JEON","raw_affiliation_strings":["Department of Information and Communication, Gwangju Institute of Science and Technology, Gwangju, 500712, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information and Communication, Gwangju Institute of Science and Technology, Gwangju, 500712, Republic of Korea","institution_ids":["https://openalex.org/I39534123"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2631,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.89227262,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"07","issue":"05","first_page":"587","last_page":"604"},"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":0.9987999796867371,"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"}},{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9958999752998352,"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/deblurring","display_name":"Deblurring","score":0.9392296075820923},{"id":"https://openalex.org/keywords/daubechies-wavelet","display_name":"Daubechies wavelet","score":0.8064382076263428},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.7868106961250305},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5597189664840698},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.550532341003418},{"id":"https://openalex.org/keywords/shrinkage","display_name":"Shrinkage","score":0.5310369729995728},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5173396468162537},{"id":"https://openalex.org/keywords/stationary-wavelet-transform","display_name":"Stationary wavelet transform","score":0.5076967477798462},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.492995947599411},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.4901300370693207},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4852135479450226},{"id":"https://openalex.org/keywords/second-generation-wavelet-transform","display_name":"Second-generation wavelet transform","score":0.44935253262519836},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.42908474802970886},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2952966094017029},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.20205512642860413},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.1419442892074585},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.11132696270942688}],"concepts":[{"id":"https://openalex.org/C2777693668","wikidata":"https://www.wikidata.org/wiki/Q25053743","display_name":"Deblurring","level":5,"score":0.9392296075820923},{"id":"https://openalex.org/C2779855323","wikidata":"https://www.wikidata.org/wiki/Q1172774","display_name":"Daubechies wavelet","level":5,"score":0.8064382076263428},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.7868106961250305},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5597189664840698},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.550532341003418},{"id":"https://openalex.org/C180145272","wikidata":"https://www.wikidata.org/wiki/Q7504144","display_name":"Shrinkage","level":2,"score":0.5310369729995728},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5173396468162537},{"id":"https://openalex.org/C73339587","wikidata":"https://www.wikidata.org/wiki/Q1375942","display_name":"Stationary wavelet transform","level":5,"score":0.5076967477798462},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.492995947599411},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.4901300370693207},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4852135479450226},{"id":"https://openalex.org/C111350171","wikidata":"https://www.wikidata.org/wiki/Q7443700","display_name":"Second-generation wavelet transform","level":5,"score":0.44935253262519836},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42908474802970886},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2952966094017029},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.20205512642860413},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.1419442892074585},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.11132696270942688}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0219691309003100","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219691309003100","pdf_url":null,"source":{"id":"https://openalex.org/S56986848","display_name":"International Journal of Wavelets Multiresolution and Information Processing","issn_l":"0219-6913","issn":["0219-6913","1793-690X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Wavelets, Multiresolution and Information Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321317","display_name":"Gwangju Institute of Science and Technology","ror":"https://ror.org/024kbgz78"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1515994701","https://openalex.org/W1965570176","https://openalex.org/W1981595564","https://openalex.org/W1983760178","https://openalex.org/W1984176674","https://openalex.org/W1988893406","https://openalex.org/W1996964754","https://openalex.org/W2010326997","https://openalex.org/W2018332268","https://openalex.org/W2022349370","https://openalex.org/W2033424286","https://openalex.org/W2034584585","https://openalex.org/W2049410717","https://openalex.org/W2062024414","https://openalex.org/W2091469079","https://openalex.org/W2091481418","https://openalex.org/W2092543127","https://openalex.org/W2094114285","https://openalex.org/W2096539625","https://openalex.org/W2109399733","https://openalex.org/W2123022940","https://openalex.org/W2129042155","https://openalex.org/W2129276048","https://openalex.org/W2133798182","https://openalex.org/W2146548127","https://openalex.org/W2148688551","https://openalex.org/W2152193740","https://openalex.org/W2158530844","https://openalex.org/W2159749540","https://openalex.org/W2161905064","https://openalex.org/W2167830246","https://openalex.org/W2169025549","https://openalex.org/W2296099801","https://openalex.org/W4255272544","https://openalex.org/W4377077282"],"related_works":["https://openalex.org/W2371096191","https://openalex.org/W2344136760","https://openalex.org/W2371385084","https://openalex.org/W2047653910","https://openalex.org/W2075963752","https://openalex.org/W2017438930","https://openalex.org/W2091064836","https://openalex.org/W2890138326","https://openalex.org/W2935275583","https://openalex.org/W2036450930"],"abstract_inverted_index":{"Deblurring":[0],"in":[1,11,27,100],"the":[2,60,68,71,85,88],"presence":[3,28],"of":[4,24,29,44,62,73,87],"noise":[5],"is":[6,40,51],"a":[7,21,78],"hard":[8],"problem,":[9],"especially":[10],"ultrasonic":[12],"and":[13,50,70],"CT":[14],"images.":[15],"In":[16],"this":[17],"paper,":[18],"we":[19],"propose":[20],"new":[22],"method":[23,39,90],"image":[25],"deblurring":[26],"noise,":[30],"using":[31],"symmetric":[32],"Daubechies":[33,46],"complex":[34,47],"wavelet":[35,48,63,75],"transform.":[36],"The":[37,81],"proposed":[38,89],"based":[41,58],"on":[42,59],"shrinkage":[43,56],"multilevel":[45],"coefficients,":[49],"adaptive":[52],"as":[53,65,67],"it":[54],"uses":[55],"function":[57],"variance":[61],"coefficients":[64,76],"well":[66],"mean":[69],"median":[72],"absolute":[74],"at":[77],"particular":[79],"level.":[80],"results":[82],"obtained":[83],"after":[84],"application":[86],"demonstrate":[91],"an":[92],"improved":[93],"performance":[94],"over":[95],"other":[96],"related":[97],"methods":[98],"available":[99],"literature.":[101]},"counts_by_year":[{"year":2022,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
