{"id":"https://openalex.org/W4375869482","doi":"https://doi.org/10.1109/icassp49357.2023.10095546","title":"Image Fusion Via Slice-Based Convolutional Sparse Representation","display_name":"Image Fusion Via Slice-Based Convolutional Sparse Representation","publication_year":2023,"publication_date":"2023-05-05","ids":{"openalex":"https://openalex.org/W4375869482","doi":"https://doi.org/10.1109/icassp49357.2023.10095546"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49357.2023.10095546","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icassp49357.2023.10095546","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-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/A5111162428","display_name":"Jingchen Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingchen Xu","raw_affiliation_strings":["Yanshan University,School of Information and Science Engineer,China","School of Information and Science Engineer, Yanshan University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yanshan University,School of Information and Science Engineer,China","institution_ids":["https://openalex.org/I39333907"]},{"raw_affiliation_string":"School of Information and Science Engineer, Yanshan University, China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100405873","display_name":"Yali Zhang","orcid":"https://orcid.org/0009-0002-0353-0114"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yali Zhang","raw_affiliation_strings":["Yanshan University,School of Information and Science Engineer,China","School of Information and Science Engineer, Yanshan University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yanshan University,School of Information and Science Engineer,China","institution_ids":["https://openalex.org/I39333907"]},{"raw_affiliation_string":"School of Information and Science Engineer, Yanshan University, China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100424650","display_name":"Ze Li","orcid":"https://orcid.org/0000-0003-1522-6187"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ze Li","raw_affiliation_strings":["Yanshan University,School of Information and Science Engineer,China","School of Information and Science Engineer, Yanshan University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yanshan University,School of Information and Science Engineer,China","institution_ids":["https://openalex.org/I39333907"]},{"raw_affiliation_string":"School of Information and Science Engineer, Yanshan University, China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050791552","display_name":"Jinjia Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinjia Wang","raw_affiliation_strings":["Yanshan University,School of Information and Science Engineer,China","School of Information and Science Engineer, Yanshan University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yanshan University,School of Information and Science Engineer,China","institution_ids":["https://openalex.org/I39333907"]},{"raw_affiliation_string":"School of Information and Science Engineer, Yanshan University, China","institution_ids":["https://openalex.org/I39333907"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4504,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.65876908,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"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/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":0.9975000023841858,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9962000250816345,"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/sparse-approximation","display_name":"Sparse approximation","score":0.8109831809997559},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6886017322540283},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.647981584072113},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6267724633216858},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5979676246643066},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.5798103213310242},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.49616631865501404},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4917764961719513},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4327007532119751},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.43247225880622864},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4294438660144806}],"concepts":[{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.8109831809997559},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6886017322540283},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.647981584072113},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6267724633216858},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5979676246643066},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.5798103213310242},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.49616631865501404},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4917764961719513},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4327007532119751},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.43247225880622864},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4294438660144806},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49357.2023.10095546","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icassp49357.2023.10095546","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320337495","display_name":"Technology Development","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1994714721","https://openalex.org/W1997596006","https://openalex.org/W2005490094","https://openalex.org/W2054273865","https://openalex.org/W2117289172","https://openalex.org/W2142060261","https://openalex.org/W2190662802","https://openalex.org/W2293078015","https://openalex.org/W2474462684","https://openalex.org/W2532801510","https://openalex.org/W2912581987","https://openalex.org/W2941407754","https://openalex.org/W2950798207","https://openalex.org/W2963368219","https://openalex.org/W2970378007","https://openalex.org/W3031567903","https://openalex.org/W3118261333","https://openalex.org/W3202264639","https://openalex.org/W4224923657","https://openalex.org/W4226265342","https://openalex.org/W6649524578","https://openalex.org/W6677409489","https://openalex.org/W6811101374"],"related_works":["https://openalex.org/W2788731446","https://openalex.org/W2204403038","https://openalex.org/W3152170969","https://openalex.org/W2379054866","https://openalex.org/W2549658594","https://openalex.org/W2095903272","https://openalex.org/W2370195708","https://openalex.org/W1490651872","https://openalex.org/W2139242969","https://openalex.org/W2284201331"],"abstract_inverted_index":{"For":[0],"pixel-level":[1],"image":[2,82],"fusion,":[3],"convolutional":[4,46,93],"sparse":[5,47,76,94],"representation":[6,48],"model":[7,50],"usually":[8],"relies":[9],"on":[10],"the":[11,14,22,68,73,86,92],"ADMM":[12],"in":[13,29,67,98],"Fourier":[15],"domain,":[16],"generating":[17],"many":[18],"iterations":[19],"and":[20,75,101],"losing":[21],"sense":[23],"of":[24,40,81,109],"locality,":[25],"which":[26,53,104],"may":[27],"result":[28],"fused":[30],"images":[31,41],"with":[32,62],"blurred":[33],"texture":[34,38],"parts.":[35],"To":[36],"extract":[37],"information":[39],"more":[42],"effectively,":[43],"a":[44],"slice-based":[45],"(SCSR)":[49],"is":[51,54,89],"proposed,":[52],"solved":[55],"by":[56],"an":[57],"inertial":[58],"proximal":[59],"gradient":[60],"method":[61,88,97],"dry":[63],"friction":[64],"(IPGM-DF)":[65],"algorithm":[66],"signal":[69],"domain.":[70],"IPGM-DF":[71],"updates":[72],"dictionary":[74],"coefficients":[77],"simultaneously.":[78],"Experimental":[79],"results":[80],"fusion":[83,96],"show":[84],"that":[85,108],"proposed":[87],"superior":[90],"to":[91,107],"representation-based":[95],"both":[99],"subjective":[100],"objective":[102],"evaluation,":[103],"are":[105],"comparable":[106],"SOTA.":[110]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}