{"id":"https://openalex.org/W2970987056","doi":"https://doi.org/10.1109/icip.2019.8803313","title":"Learned Multimodal Convolutional Sparse Coding for Guided Image Super-Resolution","display_name":"Learned Multimodal Convolutional Sparse Coding for Guided Image Super-Resolution","publication_year":2019,"publication_date":"2019-08-26","ids":{"openalex":"https://openalex.org/W2970987056","doi":"https://doi.org/10.1109/icip.2019.8803313","mag":"2970987056"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2019.8803313","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8803313","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5046666210","display_name":"Iman Marivani","orcid":"https://orcid.org/0000-0002-2928-4014"},"institutions":[{"id":"https://openalex.org/I13469542","display_name":"Vrije Universiteit Brussel","ror":"https://ror.org/006e5kg04","country_code":"BE","type":"education","lineage":["https://openalex.org/I13469542"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Iman Marivani","raw_affiliation_strings":["Vrije Universiteit Brussel, Brussels, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vrije Universiteit Brussel, Brussels, Belgium","institution_ids":["https://openalex.org/I13469542"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076766934","display_name":"Evaggelia Tsiligianni","orcid":"https://orcid.org/0000-0003-2876-5788"},"institutions":[{"id":"https://openalex.org/I13469542","display_name":"Vrije Universiteit Brussel","ror":"https://ror.org/006e5kg04","country_code":"BE","type":"education","lineage":["https://openalex.org/I13469542"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Evaggelia Tsiligianni","raw_affiliation_strings":["Vrije Universiteit Brussel, Brussels, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vrije Universiteit Brussel, Brussels, Belgium","institution_ids":["https://openalex.org/I13469542"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058747795","display_name":"Bruno Cornelis","orcid":"https://orcid.org/0000-0002-0688-8173"},"institutions":[{"id":"https://openalex.org/I13469542","display_name":"Vrije Universiteit Brussel","ror":"https://ror.org/006e5kg04","country_code":"BE","type":"education","lineage":["https://openalex.org/I13469542"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Bruno Cornelis","raw_affiliation_strings":["Vrije Universiteit Brussel, Brussels, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vrije Universiteit Brussel, Brussels, Belgium","institution_ids":["https://openalex.org/I13469542"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043511500","display_name":"Nikos Deligiannis","orcid":"https://orcid.org/0000-0001-9300-5860"},"institutions":[{"id":"https://openalex.org/I13469542","display_name":"Vrije Universiteit Brussel","ror":"https://ror.org/006e5kg04","country_code":"BE","type":"education","lineage":["https://openalex.org/I13469542"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Nikos Deligiannis","raw_affiliation_strings":["Vrije Universiteit Brussel, Brussels, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vrije Universiteit Brussel, Brussels, Belgium","institution_ids":["https://openalex.org/I13469542"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I13469542"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"26","issue":null,"first_page":"2891","last_page":"2895"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","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/T11105","display_name":"Advanced Image Processing Techniques","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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9991999864578247,"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/computer-science","display_name":"Computer science","score":0.8051052689552307},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.7477458715438843},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7411702871322632},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7207703590393066},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6888421773910522},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5204782485961914},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5096919536590576},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45913559198379517},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.45162054896354675},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33942484855651855},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08489757776260376}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8051052689552307},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.7477458715438843},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7411702871322632},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7207703590393066},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6888421773910522},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5204782485961914},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5096919536590576},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45913559198379517},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.45162054896354675},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33942484855651855},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08489757776260376},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icip.2019.8803313","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8803313","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:vubissmart:VUBISSMART:2000:145187","is_oa":false,"landing_page_url":"https://biblio.vub.ac.be/vubir/learned-multimodal-convolutional-sparse-coding-for-guided-image-superresolution(683dee8f-240e-4765-ba5b-8101b9dece60).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306402573","display_name":"VUBIR (Vrije Universiteit Brussel)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I13469542","host_organization_name":"Vrije Universiteit Brussel","host_organization_lineage":["https://openalex.org/I13469542"],"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"},{"id":"pmh:oai:vubissmart:VUBISSMART:2000:145187","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ICIP.2019.8803313","pdf_url":null,"source":{"id":"https://openalex.org/S4306402573","display_name":"VUBIR (Vrije Universiteit Brussel)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I13469542","host_organization_name":"Vrije Universiteit Brussel","host_organization_lineage":["https://openalex.org/I13469542"],"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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1712805121","https://openalex.org/W1918311561","https://openalex.org/W2088254198","https://openalex.org/W2103106600","https://openalex.org/W2104600947","https://openalex.org/W2115706991","https://openalex.org/W2118103795","https://openalex.org/W2121058967","https://openalex.org/W2125188192","https://openalex.org/W2242218935","https://openalex.org/W2291143146","https://openalex.org/W2293078015","https://openalex.org/W2345557152","https://openalex.org/W2346728112","https://openalex.org/W2520808298","https://openalex.org/W2607041014","https://openalex.org/W2619204584","https://openalex.org/W2741192765","https://openalex.org/W2766452532","https://openalex.org/W2799120945","https://openalex.org/W2963295317","https://openalex.org/W2963371269","https://openalex.org/W2963372104","https://openalex.org/W2963729050","https://openalex.org/W2964007263","https://openalex.org/W3121165271","https://openalex.org/W4241716071","https://openalex.org/W6677645113","https://openalex.org/W6704980600","https://openalex.org/W6726811299","https://openalex.org/W6766403278"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4375867731","https://openalex.org/W2611989081","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W3167935049","https://openalex.org/W3029198973","https://openalex.org/W2065031478"],"abstract_inverted_index":{"The":[0,59],"success":[1],"of":[2,44,52,56,80,108],"deep":[3,18,32,67,116],"learning":[4,33,68,117],"in":[5],"various":[6],"tasks,":[7],"including":[8],"solving":[9],"inverse":[10],"problems,":[11],"has":[12],"triggered":[13],"the":[14,42,50,78,89],"need":[15],"for":[16,35],"designing":[17],"neural":[19],"networks":[20],"that":[21,76],"incorporate":[22],"domain":[23],"knowledge.":[24],"In":[25],"this":[26],"paper,":[27],"we":[28],"design":[29],"a":[30,46,53,65,73],"multimodal":[31,115],"architecture":[34,61,91],"guided":[36],"image":[37,48,55],"super-resolution,":[38],"which":[39],"refers":[40],"to":[41,92,110],"problem":[43,79],"super-resolving":[45],"low-resolution":[47],"with":[49,84],"aid":[51],"high-resolution":[54],"another":[57],"modality.":[58],"proposed":[60,90],"is":[62],"based":[63],"on":[64],"novel":[66],"model,":[69],"obtained":[70],"by":[71],"unfolding":[72],"proximal":[74],"method":[75],"solves":[77],"convolutional":[81],"sparse":[82,119],"coding":[83,120],"side":[85,100],"information.":[86,101],"We":[87],"applied":[88],"super-resolve":[93],"near-infrared":[94],"images":[95,98],"using":[96],"RGB":[97],"as":[99],"Experimental":[102],"results":[103],"report":[104],"average":[105],"PSNR":[106],"gains":[107],"up":[109],"2.85":[111],"dB":[112],"against":[113],"state-of-the-art":[114],"and":[118],"models.":[121]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}