{"id":"https://openalex.org/W3085575313","doi":"https://doi.org/10.1142/s0219691320500617","title":"Multifocus image fusion using multiscale transform and convolutional sparse representation","display_name":"Multifocus image fusion using multiscale transform and convolutional sparse representation","publication_year":2020,"publication_date":"2020-09-10","ids":{"openalex":"https://openalex.org/W3085575313","doi":"https://doi.org/10.1142/s0219691320500617","mag":"3085575313"},"language":"en","primary_location":{"id":"doi:10.1142/s0219691320500617","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219691320500617","pdf_url":null,"source":{"id":"https://openalex.org/S56986848","display_name":"International Journal of Wavelets Multiresolution and Information Processing","issn_l":"0219-6913","issn":["0219-6913","1793-690X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Wavelets, Multiresolution and Information Processing","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/A5101577714","display_name":"Chengfang Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chengfang Zhang","raw_affiliation_strings":["Department of Computer Science and Technology, Sichuan Police College, Luzhou, Sichuan, P. R. China","National Key Laboratory of Fundamental Science on Synthetic Vision, Sichuan University, Chengdu, Sichuan, P. R. China","Department of Computer Science and Technology, Sichuan Police College, Luzhou, Sichuan, P. R. China; National Key Laboratory of Fundamental Science on Synthetic Vision, Sichuan University, Chengdu, Sichuan, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Sichuan Police College, Luzhou, Sichuan, P. R. China","institution_ids":[]},{"raw_affiliation_string":"National Key Laboratory of Fundamental Science on Synthetic Vision, Sichuan University, Chengdu, Sichuan, P. R. China","institution_ids":["https://openalex.org/I24185976"]},{"raw_affiliation_string":"Department of Computer Science and Technology, Sichuan Police College, Luzhou, Sichuan, P. R. China; National Key Laboratory of Fundamental Science on Synthetic Vision, Sichuan University, Chengdu, Sichuan, P. R. China","institution_ids":["https://openalex.org/I24185976"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5101577714"],"corresponding_institution_ids":["https://openalex.org/I24185976"],"apc_list":null,"apc_paid":null,"fwci":1.1345,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.84139483,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"19","issue":"01","first_page":"2050061","last_page":"2050061"},"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9980000257492065,"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"}},{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.996399998664856,"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/image-fusion","display_name":"Image fusion","score":0.7942233085632324},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.7395545244216919},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.7166599631309509},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.68819260597229},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6107994914054871},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5858522057533264},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.5414116978645325},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5256993770599365},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5172362923622131},{"id":"https://openalex.org/keywords/fusion-rules","display_name":"Fusion rules","score":0.47046005725860596},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4612952470779419},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.44256240129470825},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39688512682914734},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29448777437210083},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09349316358566284},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.09135839343070984}],"concepts":[{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.7942233085632324},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.7395545244216919},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.7166599631309509},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.68819260597229},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6107994914054871},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5858522057533264},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.5414116978645325},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5256993770599365},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5172362923622131},{"id":"https://openalex.org/C2778971668","wikidata":"https://www.wikidata.org/wiki/Q5510284","display_name":"Fusion rules","level":4,"score":0.47046005725860596},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4612952470779419},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.44256240129470825},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39688512682914734},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29448777437210083},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09349316358566284},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.09135839343070984},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0219691320500617","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219691320500617","pdf_url":null,"source":{"id":"https://openalex.org/S56986848","display_name":"International Journal of Wavelets Multiresolution and Information Processing","issn_l":"0219-6913","issn":["0219-6913","1793-690X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Wavelets, Multiresolution and Information Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W613606118","https://openalex.org/W1980204465","https://openalex.org/W1996731385","https://openalex.org/W1997480692","https://openalex.org/W2039465985","https://openalex.org/W2060342434","https://openalex.org/W2112796928","https://openalex.org/W2114207195","https://openalex.org/W2134905716","https://openalex.org/W2142060261","https://openalex.org/W2146353910","https://openalex.org/W2148125137","https://openalex.org/W2153663612","https://openalex.org/W2159269332","https://openalex.org/W2160547390","https://openalex.org/W2165409093","https://openalex.org/W2190662802","https://openalex.org/W2243933544","https://openalex.org/W2313800439","https://openalex.org/W2532801510","https://openalex.org/W2546974981","https://openalex.org/W2559870345","https://openalex.org/W2604272474","https://openalex.org/W2615797118","https://openalex.org/W2918001912","https://openalex.org/W2997542096","https://openalex.org/W4292363360"],"related_works":["https://openalex.org/W2788731446","https://openalex.org/W3152170969","https://openalex.org/W2095903272","https://openalex.org/W2370195708","https://openalex.org/W1490651872","https://openalex.org/W2549658594","https://openalex.org/W2204403038","https://openalex.org/W2379054866","https://openalex.org/W2366880779","https://openalex.org/W2284201331"],"abstract_inverted_index":{"Multifocus":[0],"image":[1,6,33,41,93,129],"fusion":[2,63,84],"can":[3],"obtain":[4,95],"an":[5],"with":[7],"all":[8],"objects":[9],"in":[10,31,107,155],"focus,":[11],"which":[12],"is":[13,42,87,105,130],"beneficial":[14],"for":[15,54],"understanding":[16],"the":[17,36,39,75,80,96,108,112,118,123,138,149],"target":[18],"scene.":[19],"Multiscale":[20],"transform":[21],"(MST)":[22],"and":[23,47,68,82,99],"sparse":[24,70],"representation":[25,71],"(SR)":[26],"have":[27],"been":[28],"widely":[29],"used":[30],"multifocus":[32,145],"fusion.":[34,56],"However,":[35],"contrast":[37],"of":[38,78,157],"fused":[40,116,128,139],"lost":[43],"after":[44],"multiscale":[45],"reconstruction,":[46],"fine":[48],"details":[49],"tend":[50],"to":[51,73,94],"be":[52],"smoothed":[53],"SR-based":[55,83],"In":[57],"this":[58],"paper,":[59],"we":[60],"propose":[61],"a":[62],"method":[64],"based":[65],"on":[66,90,137,144],"MST":[67,86,136],"convolutional":[69],"(CSR)":[72],"address":[74],"inherent":[76],"defects":[77],"both":[79],"MST-":[81],"methods.":[85],"first":[88],"performed":[89],"each":[91],"source":[92],"low-frequency":[97],"components":[98],"detailed":[100],"directional":[101],"components.":[102],"Then,":[103],"CSR":[104],"applied":[106],"low-pass":[109],"fusion,":[110],"while":[111],"high-pass":[113],"bands":[114],"are":[115],"using":[117],"popular":[119],"\u201cmax-absolute\u201d":[120],"rule":[121],"as":[122],"activity":[124],"level":[125],"measurement.":[126],"The":[127,141],"finally":[131],"obtained":[132],"by":[133],"performing":[134],"inverse":[135],"coefficients.":[140],"experimental":[142],"results":[143],"images":[146],"show":[147],"that":[148],"proposed":[150],"algorithm":[151],"exhibits":[152],"state-of-the-art":[153],"performance":[154],"terms":[156],"definition.":[158]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}