{"id":"https://openalex.org/W2956944751","doi":"https://doi.org/10.1109/spawc.2018.8446001","title":"Multi-Modal Image Processing Based on Coupled Dictionary Learning","display_name":"Multi-Modal Image Processing Based on Coupled Dictionary Learning","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2956944751","doi":"https://doi.org/10.1109/spawc.2018.8446001","mag":"2956944751"},"language":"en","primary_location":{"id":"doi:10.1109/spawc.2018.8446001","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spawc.2018.8446001","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1806.09882","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086311488","display_name":"Pingfan Song","orcid":"https://orcid.org/0000-0003-3596-083X"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Pingfan Song","raw_affiliation_strings":["Department of Electronic and Electrical Engineering, University College, London, UK"],"affiliations":[{"raw_affiliation_string":"Department of Electronic and Electrical Engineering, University College, London, UK","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044634366","display_name":"Miguel R. D. Rodrigues","orcid":"https://orcid.org/0000-0002-8908-847X"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Miguel R.D. Rodrigues","raw_affiliation_strings":["Department of Electronic and Electrical Engineering, University College, London, UK"],"affiliations":[{"raw_affiliation_string":"Department of Electronic and Electrical Engineering, University College, London, UK","institution_ids":["https://openalex.org/I45129253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5086311488"],"corresponding_institution_ids":["https://openalex.org/I45129253"],"apc_list":null,"apc_paid":null,"fwci":0.1063,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.51169351,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9994000196456909,"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":0.9987000226974487,"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/inpainting","display_name":"Inpainting","score":0.8813140988349915},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7932641506195068},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6565709114074707},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.6323211789131165},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.5676454305648804},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.5653139352798462},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5443181991577148},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5027086734771729},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4913713037967682},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.48786115646362305},{"id":"https://openalex.org/keywords/dictionary-learning","display_name":"Dictionary learning","score":0.43877580761909485},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.4242198169231415},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3945004940032959},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09551197290420532}],"concepts":[{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.8813140988349915},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7932641506195068},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6565709114074707},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.6323211789131165},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.5676454305648804},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.5653139352798462},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5443181991577148},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5027086734771729},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4913713037967682},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.48786115646362305},{"id":"https://openalex.org/C2988886741","wikidata":"https://www.wikidata.org/wiki/Q25304494","display_name":"Dictionary learning","level":3,"score":0.43877580761909485},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.4242198169231415},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3945004940032959},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09551197290420532},{"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/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/spawc.2018.8446001","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spawc.2018.8446001","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1806.09882","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1806.09882","pdf_url":"https://arxiv.org/pdf/1806.09882","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:10061952","is_oa":false,"landing_page_url":"https://discovery.ucl.ac.uk/id/eprint/10061952/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"     In:  2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC).    IEEE (2018)     ","raw_type":"Proceedings paper"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1806.09882","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1806.09882","pdf_url":"https://arxiv.org/pdf/1806.09882","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"sustainable_development_goals":[{"score":0.5099999904632568,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W96319384","https://openalex.org/W1576263545","https://openalex.org/W1584663654","https://openalex.org/W1712805121","https://openalex.org/W1791560514","https://openalex.org/W1897123318","https://openalex.org/W1999478721","https://openalex.org/W2008732654","https://openalex.org/W2048709399","https://openalex.org/W2058749767","https://openalex.org/W2099749431","https://openalex.org/W2104600947","https://openalex.org/W2120824855","https://openalex.org/W2121058967","https://openalex.org/W2125188192","https://openalex.org/W2127271355","https://openalex.org/W2128857039","https://openalex.org/W2133665775","https://openalex.org/W2136154655","https://openalex.org/W2150941474","https://openalex.org/W2160547390","https://openalex.org/W2161516371","https://openalex.org/W2231495490","https://openalex.org/W2291143146","https://openalex.org/W2294512729","https://openalex.org/W2405379419","https://openalex.org/W2492439964","https://openalex.org/W2520808298","https://openalex.org/W2536599074","https://openalex.org/W2963442801","https://openalex.org/W3100063120","https://openalex.org/W3102476983","https://openalex.org/W3122285102","https://openalex.org/W3124331469","https://openalex.org/W4206310440","https://openalex.org/W6638194035","https://openalex.org/W6639781355","https://openalex.org/W6678025836","https://openalex.org/W6683660953","https://openalex.org/W6689586722","https://openalex.org/W6696948258","https://openalex.org/W6726811299"],"related_works":["https://openalex.org/W2380775572","https://openalex.org/W2213520135","https://openalex.org/W2244018504","https://openalex.org/W4301143707","https://openalex.org/W2952745240","https://openalex.org/W4206346548","https://openalex.org/W1598664435","https://openalex.org/W4226047903","https://openalex.org/W2058490085","https://openalex.org/W2107465576"],"abstract_inverted_index":{"In":[0,37,61],"real-world":[1],"scenarios,":[2],"many":[3],"data":[4],"processing":[5,45,104],"problems":[6],"often":[7],"involve":[8],"heterogeneous":[9],"images":[10,19],"associated":[11],"with":[12],"different":[13,58,71],"imaging":[14],"modalities.":[15,60],"Since":[16],"these":[17],"multimodal":[18,117],"originate":[20],"from":[21],"the":[22,90],"same":[23],"phenomenon,":[24],"it":[25],"is":[26],"realistic":[27],"to":[28,52,98],"assume":[29],"that":[30,94,115],"they":[31],"share":[32],"common":[33],"attributes":[34],"or":[35,110],"characteristics.":[36],"this":[38],"paper,":[39],"we":[40],"propose":[41],"a":[42,83,100],"multi-modal":[43],"image":[44,59,72,103],"framework":[46,64,121],"based":[47],"on":[48],"coupled":[49],"dictionary":[50],"learning":[51],"capture":[53,66],"similaries":[54],"and":[55,78],"disparities":[56],"between":[57],"particular,":[62],"our":[63,120],"can":[65,95],"favorable":[67],"structure":[68],"similarities":[69],"across":[70],"modalities":[73],"such":[74,106],"as":[75,107],"edges,":[76],"corners,":[77],"other":[79],"elementary":[80],"primitives":[81],"in":[82],"learned":[84],"sparse":[85],"transform":[86],"domain,":[87,93],"instead":[88],"of":[89,102],"original":[91],"pixel":[92],"be":[96],"used":[97],"improve":[99],"number":[101],"tasks":[105],"denoising,":[108],"inpainting,":[109],"super-resolution.":[111],"Practical":[112],"experiments":[113],"demonstrate":[114],"incorporating":[116],"information":[118],"using":[119],"brings":[122],"notable":[123],"benefits.":[124]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
