{"id":"https://openalex.org/W4224923657","doi":"https://doi.org/10.1109/icassp43922.2022.9746322","title":"Coupled Feature Learning Via Structured Convolutional Sparse Coding for Multimodal Image Fusion","display_name":"Coupled Feature Learning Via Structured Convolutional Sparse Coding for Multimodal Image Fusion","publication_year":2022,"publication_date":"2022-04-27","ids":{"openalex":"https://openalex.org/W4224923657","doi":"https://doi.org/10.1109/icassp43922.2022.9746322"},"language":"en","primary_location":{"id":"doi:10.1109/icassp43922.2022.9746322","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp43922.2022.9746322","pdf_url":null,"source":{"id":"https://openalex.org/S4363607702","display_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://research.aalto.fi/files/92879523/Farshad_Veshki_ICASSP2022_pdfa2b.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071731476","display_name":"Farshad G. Veshki","orcid":"https://orcid.org/0000-0002-9832-6783"},"institutions":[{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Farshad G. Veshki","raw_affiliation_strings":["Aalto University,Department of Signal Processing and Acoustics,Espoo,Finland","Department of Signal Processing and Acoustics, Aalto University, Espoo, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aalto University,Department of Signal Processing and Acoustics,Espoo,Finland","institution_ids":["https://openalex.org/I9927081"]},{"raw_affiliation_string":"Department of Signal Processing and Acoustics, Aalto University, Espoo, Finland","institution_ids":["https://openalex.org/I9927081"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055234860","display_name":"Sergiy A. Vorobyov","orcid":"https://orcid.org/0000-0001-7249-647X"},"institutions":[{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Sergiy A. Vorobyov","raw_affiliation_strings":["Aalto University,Department of Signal Processing and Acoustics,Espoo,Finland","Department of Signal Processing and Acoustics, Aalto University, Espoo, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aalto University,Department of Signal Processing and Acoustics,Espoo,Finland","institution_ids":["https://openalex.org/I9927081"]},{"raw_affiliation_string":"Department of Signal Processing and Acoustics, Aalto University, Espoo, Finland","institution_ids":["https://openalex.org/I9927081"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I9927081"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":25,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2500","last_page":"2504"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":1.0,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9994999766349792,"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":0.9988999962806702,"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/neural-coding","display_name":"Neural coding","score":0.7031341791152954},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6987292766571045},{"id":"https://openalex.org/keywords/convolutional-code","display_name":"Convolutional code","score":0.6654763221740723},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6214318871498108},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6162140965461731},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.5865748524665833},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.5030178427696228},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.49981021881103516},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.49915170669555664},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.48436102271080017},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.45915642380714417},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.45493966341018677},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.432184636592865},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3198825716972351},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18311071395874023},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.13720270991325378}],"concepts":[{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.7031341791152954},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6987292766571045},{"id":"https://openalex.org/C157899210","wikidata":"https://www.wikidata.org/wiki/Q1395022","display_name":"Convolutional code","level":3,"score":0.6654763221740723},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6214318871498108},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6162140965461731},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.5865748524665833},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.5030178427696228},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.49981021881103516},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.49915170669555664},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48436102271080017},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.45915642380714417},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.45493966341018677},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.432184636592865},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3198825716972351},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18311071395874023},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.13720270991325378},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp43922.2022.9746322","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp43922.2022.9746322","pdf_url":null,"source":{"id":"https://openalex.org/S4363607702","display_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:aaltodoc.aalto.fi:123456789/117820","is_oa":true,"landing_page_url":"https://research.aalto.fi/en/publications/5f03ba0f-ec9f-4e00-86fe-5b177f95930f","pdf_url":"https://research.aalto.fi/files/92879523/Farshad_Veshki_ICASSP2022_pdfa2b.pdf","source":{"id":"https://openalex.org/S4306401662","display_name":"Aaltodoc (Aalto University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I9927081","host_organization_name":"Aalto University","host_organization_lineage":["https://openalex.org/I9927081"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"acceptedVersion"}],"best_oa_location":{"id":"pmh:oai:aaltodoc.aalto.fi:123456789/117820","is_oa":true,"landing_page_url":"https://research.aalto.fi/en/publications/5f03ba0f-ec9f-4e00-86fe-5b177f95930f","pdf_url":"https://research.aalto.fi/files/92879523/Farshad_Veshki_ICASSP2022_pdfa2b.pdf","source":{"id":"https://openalex.org/S4306401662","display_name":"Aaltodoc (Aalto University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I9927081","host_organization_name":"Aalto University","host_organization_lineage":["https://openalex.org/I9927081"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"acceptedVersion"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.7200000286102295,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4224923657.pdf","grobid_xml":"https://content.openalex.org/works/W4224923657.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W1964641132","https://openalex.org/W2091484864","https://openalex.org/W2133665775","https://openalex.org/W2145889472","https://openalex.org/W2153777140","https://openalex.org/W2793890232","https://openalex.org/W2809216229","https://openalex.org/W2912581987","https://openalex.org/W2952071070","https://openalex.org/W2968055496","https://openalex.org/W3007473102","https://openalex.org/W3020146971","https://openalex.org/W3023203534","https://openalex.org/W3024215945","https://openalex.org/W3040984225","https://openalex.org/W3115776022","https://openalex.org/W3121121992","https://openalex.org/W3126849822","https://openalex.org/W3126994406","https://openalex.org/W3198226765","https://openalex.org/W4292363360","https://openalex.org/W6789874511"],"related_works":["https://openalex.org/W2356748119","https://openalex.org/W2546942002","https://openalex.org/W2382607599","https://openalex.org/W2382362981","https://openalex.org/W3153050314","https://openalex.org/W2391518939","https://openalex.org/W2380797991","https://openalex.org/W4320802741","https://openalex.org/W3136089090","https://openalex.org/W4281689716"],"abstract_inverted_index":{"A":[0],"novel":[1],"method":[2,64,90,111],"for":[3],"learning":[4],"correlated":[5,25],"features":[6,26,43],"in":[7,32,116],"multimodal":[8],"images":[9],"based":[10,72],"on":[11,73],"convolutional":[12,33,48],"sparse":[13,49,86],"coding":[14],"with":[15],"applications":[16],"to":[17,83,113],"image":[18,104],"fusion":[19],"is":[20,59,81],"presented.":[21],"In":[22],"particular,":[23],"the":[24,36,39,85,107,120],"are":[27,44,70],"captured":[28],"as":[29,125,127],"coupled":[30,68],"filters":[31,69],"dictionaries.":[34],"At":[35],"same":[37],"time,":[38],"shared":[40],"and":[41,51,77,102,122],"independent":[42],"approximated":[45],"using":[46,61,100],"separate":[47],"codes":[50],"a":[52,74,78],"common":[53],"dictionary.":[54],"The":[55,67,88,97],"resulting":[56],"optimization":[57],"problem":[58],"addressed":[60],"alternating":[62],"direction":[63],"of":[65,109,118],"multipliers.":[66],"fused":[71],"maximum-variance":[75],"rule,":[76],"maximum-absolute-value":[79],"rule":[80],"used":[82],"fuse":[84],"codes.":[87],"proposed":[89],"does":[91],"not":[92],"entail":[93],"any":[94],"prelearning":[95],"stage.":[96],"experimental":[98],"evaluations":[99],"medical":[101],"infrared-visible":[103],"datasets":[105],"demonstrate":[106],"superiority":[108],"our":[110],"compared":[112],"state-of-the-art":[114],"algorithms":[115],"terms":[117],"preserving":[119],"details":[121],"local":[123],"intensities":[124],"well":[126],"improving":[128],"objective":[129],"metrics.":[130]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}