{"id":"https://openalex.org/W4319865640","doi":"https://doi.org/10.1109/lgrs.2023.3241191","title":"Speckle Removal Using Dictionary Learning and PnP-Based Fast Iterative Shrinkage Threshold Algorithm","display_name":"Speckle Removal Using Dictionary Learning and PnP-Based Fast Iterative Shrinkage Threshold Algorithm","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4319865640","doi":"https://doi.org/10.1109/lgrs.2023.3241191"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2023.3241191","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2023.3241191","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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":"IEEE Geoscience and Remote Sensing Letters","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/A5071276498","display_name":"Satyakam Baraha","orcid":"https://orcid.org/0000-0002-7770-4335"},"institutions":[{"id":"https://openalex.org/I16292982","display_name":"National Institute of Technology Rourkela","ror":"https://ror.org/011gmn932","country_code":"IN","type":"education","lineage":["https://openalex.org/I16292982"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Satyakam Baraha","raw_affiliation_strings":["Department of Electronics and Communication Engineering, National Institute of Technology, Rourkela, India"],"raw_orcid":"https://orcid.org/0000-0002-7770-4335","affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, National Institute of Technology, Rourkela, India","institution_ids":["https://openalex.org/I16292982"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015722972","display_name":"Ajit Kumar Sahoo","orcid":"https://orcid.org/0000-0002-0440-6759"},"institutions":[{"id":"https://openalex.org/I16292982","display_name":"National Institute of Technology Rourkela","ror":"https://ror.org/011gmn932","country_code":"IN","type":"education","lineage":["https://openalex.org/I16292982"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ajit Kumar Sahoo","raw_affiliation_strings":["Department of Electronics and Communication Engineering, National Institute of Technology, Rourkela, India"],"raw_orcid":"https://orcid.org/0000-0002-0440-6759","affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, National Institute of Technology, Rourkela, India","institution_ids":["https://openalex.org/I16292982"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I16292982"],"apc_list":null,"apc_paid":null,"fwci":0.8612,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.69916123,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"20","issue":null,"first_page":"1","last_page":"5"},"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":0.9983999729156494,"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":0.9969000220298767,"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/speckle-noise","display_name":"Speckle noise","score":0.7175924181938171},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.7136175632476807},{"id":"https://openalex.org/keywords/speckle-pattern","display_name":"Speckle pattern","score":0.6895384192466736},{"id":"https://openalex.org/keywords/multiplicative-noise","display_name":"Multiplicative noise","score":0.6778298020362854},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6724003553390503},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6004036664962769},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5080509185791016},{"id":"https://openalex.org/keywords/multiplicative-function","display_name":"Multiplicative function","score":0.5055713653564453},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.4748789668083191},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.44964325428009033},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44065073132514954},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.4363856017589569},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4168381690979004},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.4120026230812073},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.41000261902809143},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4007381498813629},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.2711806297302246},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20245352387428284}],"concepts":[{"id":"https://openalex.org/C180940675","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle noise","level":3,"score":0.7175924181938171},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.7136175632476807},{"id":"https://openalex.org/C102290492","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle pattern","level":2,"score":0.6895384192466736},{"id":"https://openalex.org/C18015164","wikidata":"https://www.wikidata.org/wiki/Q6935000","display_name":"Multiplicative noise","level":5,"score":0.6778298020362854},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6724003553390503},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6004036664962769},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5080509185791016},{"id":"https://openalex.org/C42747912","wikidata":"https://www.wikidata.org/wiki/Q1048447","display_name":"Multiplicative function","level":2,"score":0.5055713653564453},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.4748789668083191},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.44964325428009033},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44065073132514954},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.4363856017589569},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4168381690979004},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.4120026230812073},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.41000261902809143},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4007381498813629},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.2711806297302246},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20245352387428284},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C13412647","wikidata":"https://www.wikidata.org/wiki/Q174948","display_name":"Analog signal","level":3,"score":0.0},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.0},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","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},{"id":"https://openalex.org/C131021393","wikidata":"https://www.wikidata.org/wiki/Q7512759","display_name":"Signal transfer function","level":4,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2023.3241191","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2023.3241191","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.46000000834465027,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1978749115","https://openalex.org/W2004376198","https://openalex.org/W2022459032","https://openalex.org/W2056370875","https://openalex.org/W2144851790","https://openalex.org/W2153663612","https://openalex.org/W2417615005","https://openalex.org/W2749075781","https://openalex.org/W2766297036","https://openalex.org/W2773865218","https://openalex.org/W3010921278","https://openalex.org/W3111573845","https://openalex.org/W3157976884","https://openalex.org/W3158709967","https://openalex.org/W3159379662","https://openalex.org/W3188318273","https://openalex.org/W4214742436","https://openalex.org/W4281401325"],"related_works":["https://openalex.org/W2065648684","https://openalex.org/W2009383287","https://openalex.org/W2042914788","https://openalex.org/W2182190754","https://openalex.org/W4321264664","https://openalex.org/W2727313114","https://openalex.org/W2016481886","https://openalex.org/W2055824452","https://openalex.org/W2121688719","https://openalex.org/W2162457349"],"abstract_inverted_index":{"Speckle":[0],"is":[1,40,72,109],"a":[2,45],"multiplicative":[3,66],"granular":[4],"noise":[5,67],"that":[6,122],"naturally":[7],"occurs":[8],"in":[9,133],"the":[10,26,65,69,76,88,91,106,123,130],"images":[11,120],"captured":[12],"by":[13,43,74],"coherent":[14],"imaging":[15],"sensors":[16],"such":[17],"as":[18],"synthetic":[19],"aperture":[20],"radar":[21],"(SAR).":[22],"It":[23],"visually":[24],"degrades":[25],"underlying":[27],"image":[28,36,57,108],"information":[29],"and":[30,49,68,90,117,138],"has":[31],"an":[32,51],"impact":[33],"on":[34,115],"subsequent":[35],"analysis.":[37],"This":[38],"problem":[39],"addressed":[41],"here":[42],"developing":[44],"sparse":[46,92],"representation":[47],"model":[48,71],"applying":[50],"alternating":[52],"minimization":[53],"scheme":[54],"for":[55],"SAR":[56,119],"despeckling.":[58],"The":[59,79],"proposed":[60,124],"method":[61,125],"directly":[62],"deals":[63],"with":[64],"data":[70],"formed":[73],"utilizing":[75],"speckle":[77],"statistics.":[78],"similar":[80],"patches":[81],"are":[82,94],"clustered":[83],"together":[84],"to":[85,129],"adaptively":[86],"learn":[87],"dictionary,":[89],"coefficients":[93],"updated":[95],"using":[96,111],"plug-and-play":[97],"based":[98],"fast":[99],"iterative":[100],"shrinkage":[101],"threshold":[102],"algorithm":[103],"(PnP-FISTA).":[104],"Finally,":[105],"clean":[107],"estimated":[110],"Newton\u2019s":[112],"method.":[113],"Experiments":[114],"simulated":[116],"practical":[118],"signify":[121],"performs":[126],"better":[127],"compared":[128],"state-of-the-art":[131],"methods":[132],"terms":[134],"of":[135],"performance":[136],"metrics":[137],"visual":[139],"assessment.":[140]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2025-10-10T00:00:00"}