{"id":"https://openalex.org/W2953810873","doi":"https://doi.org/10.1109/access.2019.2925424","title":"Medical Image Fusion via PCNN Based on Edge Preservation and Improved Sparse Representation in NSST Domain","display_name":"Medical Image Fusion via PCNN Based on Edge Preservation and Improved Sparse Representation in NSST Domain","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2953810873","doi":"https://doi.org/10.1109/access.2019.2925424","mag":"2953810873"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2925424","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2925424","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08746999.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08746999.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5063023203","display_name":"Di Gai","orcid":"https://orcid.org/0000-0002-1771-4363"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Di Gai","raw_affiliation_strings":["Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057510792","display_name":"Xuanjing Shen","orcid":"https://orcid.org/0000-0002-9005-076X"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuanjing Shen","raw_affiliation_strings":["Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101927316","display_name":"Cheng Hang","orcid":"https://orcid.org/0000-0001-8295-469X"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hang Cheng","raw_affiliation_strings":["Department of Pediatrics, Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"Department of Pediatrics, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100627248","display_name":"Haipeng Chen","orcid":"https://orcid.org/0000-0002-9410-4120"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haipeng Chen","raw_affiliation_strings":["Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5063023203"],"corresponding_institution_ids":["https://openalex.org/I194450716"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.2635,"has_fulltext":true,"cited_by_count":30,"citation_normalized_percentile":{"value":0.92692067,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"7","issue":null,"first_page":"85413","last_page":"85429"},"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":0.9965000152587891,"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":0.9944000244140625,"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/image-fusion","display_name":"Image fusion","score":0.787878155708313},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.748113214969635},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6985275149345398},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6456602811813354},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.5612772703170776},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.4757018983364105},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.46068647503852844},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4580278992652893},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4544541835784912},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.45353081822395325},{"id":"https://openalex.org/keywords/fusion-rules","display_name":"Fusion rules","score":0.42758506536483765},{"id":"https://openalex.org/keywords/sobel-operator","display_name":"Sobel operator","score":0.4260820746421814},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41709062457084656},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.3428305983543396},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.29358166456222534}],"concepts":[{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.787878155708313},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.748113214969635},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6985275149345398},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6456602811813354},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.5612772703170776},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.4757018983364105},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.46068647503852844},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4580278992652893},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4544541835784912},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.45353081822395325},{"id":"https://openalex.org/C2778971668","wikidata":"https://www.wikidata.org/wiki/Q5510284","display_name":"Fusion rules","level":4,"score":0.42758506536483765},{"id":"https://openalex.org/C30703548","wikidata":"https://www.wikidata.org/wiki/Q1757673","display_name":"Sobel operator","level":5,"score":0.4260820746421814},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41709062457084656},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.3428305983543396},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.29358166456222534},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2925424","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2925424","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08746999.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:ec2778c14e614b90a7e10c9be22bbe18","is_oa":true,"landing_page_url":"https://doaj.org/article/ec2778c14e614b90a7e10c9be22bbe18","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 85413-85429 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2925424","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2925424","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08746999.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.4000000059604645}],"awards":[{"id":"https://openalex.org/G1055887190","display_name":null,"funder_award_id":"20170520064JH","funder_id":"https://openalex.org/F4320310121","funder_display_name":"Natural Science Foundation of Jilin Province"},{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1390769981","display_name":null,"funder_award_id":"20170520064JH","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2138325615","display_name":null,"funder_award_id":"6167225","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3058026237","display_name":null,"funder_award_id":"61672259","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G359924504","display_name":null,"funder_award_id":"20064","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4550817505","display_name":null,"funder_award_id":"61876070","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6138684916","display_name":null,"funder_award_id":"61602203","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8271673596","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320310121","funder_display_name":"Natural Science Foundation of Jilin Province"}],"funders":[{"id":"https://openalex.org/F4320310121","display_name":"Natural Science Foundation of Jilin Province","ror":null},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322174","display_name":"People's Government of Jilin Province","ror":"https://ror.org/02fzqav45"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2953810873.pdf","grobid_xml":"https://content.openalex.org/works/W2953810873.grobid-xml"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W1563899710","https://openalex.org/W1986231131","https://openalex.org/W1994616697","https://openalex.org/W1996731385","https://openalex.org/W1999034606","https://openalex.org/W1999316653","https://openalex.org/W2002285735","https://openalex.org/W2008748102","https://openalex.org/W2010307644","https://openalex.org/W2020919250","https://openalex.org/W2026651590","https://openalex.org/W2028555274","https://openalex.org/W2032843526","https://openalex.org/W2039465985","https://openalex.org/W2043359668","https://openalex.org/W2066667210","https://openalex.org/W2103504761","https://openalex.org/W2116702374","https://openalex.org/W2146353910","https://openalex.org/W2151693816","https://openalex.org/W2159269332","https://openalex.org/W2160547390","https://openalex.org/W2170539513","https://openalex.org/W2219120503","https://openalex.org/W2288726182","https://openalex.org/W2289413700","https://openalex.org/W2406516878","https://openalex.org/W2474462684","https://openalex.org/W2522703671","https://openalex.org/W2532801510","https://openalex.org/W2568836762","https://openalex.org/W2624240493","https://openalex.org/W2732331263","https://openalex.org/W2774641008","https://openalex.org/W2780748600","https://openalex.org/W2783015445","https://openalex.org/W2806745145","https://openalex.org/W2808591023","https://openalex.org/W2885274367","https://openalex.org/W2912551047","https://openalex.org/W2931071678","https://openalex.org/W3125032682","https://openalex.org/W6653071074"],"related_works":["https://openalex.org/W4388400392","https://openalex.org/W2383455043","https://openalex.org/W2343079405","https://openalex.org/W2269083758","https://openalex.org/W1974517722","https://openalex.org/W2367735169","https://openalex.org/W2545393398","https://openalex.org/W4225576506","https://openalex.org/W3134757346","https://openalex.org/W2378692644"],"abstract_inverted_index":{"Medical":[0],"image":[1,4,26,41,58,87,169],"fusion":[2,59,199,228],"integrates":[3],"features":[5,115],"of":[6,23,37,47,157,194,207,216,226],"different":[7,158,192,218],"modalities":[8,219],"to":[9,83,104,124,128,185,203,222,240],"provide":[10],"comprehensive":[11],"information":[12,22,46,165],"for":[13,34],"clinical":[14],"diagnosis,":[15],"treatment":[16],"planning,":[17],"and":[18,29,42,66,93,120,167,178,197,248],"image-guided":[19],"surgery.":[20],"The":[21,98,230],"the":[24,35,38,44,48,71,74,85,106,113,117,121,126,133,154,173,187,205,208,213,224,227,235],"fused":[25,138,174,189],"is":[27,80,102,238],"richer":[28],"clearer,":[30],"which":[31,110,161],"makes":[32],"up":[33],"defect":[36],"single-mode":[39],"medical":[40,57,64,68,159,195,214],"retains":[43],"characteristic":[45],"source":[49,86],"image.":[50,190],"This":[51,150],"paper":[52],"proposes":[53],"a":[54,89,140],"novel":[55],"multi-modality":[56],"method":[60,79,151,237],"based":[61,146],"on":[62,147],"gray":[63],"images":[65,196,215],"color":[67],"images.":[69],"In":[70,211],"proposed":[72,209,236],"method,":[73],"nonsubsampled":[75],"shearlet":[76],"transform":[77],"(NSST)":[78],"first":[81],"used":[82,202],"decompose":[84],"into":[88],"low":[90,107,175],"frequency":[91,96,108,135,176,180],"sub-band":[92,177],"several":[94],"high":[95,134,179],"sub-bands.":[97],"improved":[99],"sparse":[100],"representation":[101],"utilized":[103],"fuse":[105],"sub-band,":[109],"can":[111,162],"remove":[112],"detail":[114],"through":[116],"sobel":[118],"operator":[119],"guided":[122],"filter":[123],"improve":[125],"ability":[127],"preserve":[129],"energy":[130],"effectively.":[131],"Meanwhile,":[132],"sub-bands":[136,181],"are":[137,182,201,220],"by":[139],"pulse":[141],"coupled":[142],"neural":[143],"network":[144],"(PCNN)":[145],"edge":[148,164],"preservation.":[149],"fully":[152],"considers":[153],"imaging":[155],"characteristics":[156],"modalities,":[160],"process":[163,168],"well":[166],"details":[170],"better.":[171],"Finally,":[172],"inversely":[183],"transformed":[184],"obtain":[186],"final":[188],"Seven":[191],"categories":[193],"seven":[198],"methods":[200,243],"verify":[204],"effectiveness":[206],"method.":[210],"addition,":[212],"three":[217],"merged":[221],"testify":[223],"influence":[225],"sequence.":[229],"experimental":[231],"results":[232],"show":[233],"that":[234],"superior":[239],"existing":[241],"state-of-art":[242],"in":[244],"subjective":[245],"visual":[246],"performance":[247],"objective":[249],"evaluation.":[250]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":7}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}