{"id":"https://openalex.org/W4399377615","doi":"https://doi.org/10.1109/lsp.2024.3410017","title":"A Lightweight Pyramid Feature Fusion Network for Single Image Super-Resolution Reconstruction","display_name":"A Lightweight Pyramid Feature Fusion Network for Single Image Super-Resolution Reconstruction","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4399377615","doi":"https://doi.org/10.1109/lsp.2024.3410017"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2024.3410017","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2024.3410017","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","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/A5024481700","display_name":"Bingzan Liu","orcid":"https://orcid.org/0009-0008-4690-2233"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bingzan Liu","raw_affiliation_strings":["School of Astronautics, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":"https://orcid.org/0009-0008-4690-2233","affiliations":[{"raw_affiliation_string":"School of Astronautics, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107809050","display_name":"Xin Ning","orcid":"https://orcid.org/0009-0006-3488-4336"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Ning","raw_affiliation_strings":["School of Astronautics, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":"https://orcid.org/0009-0006-3488-4336","affiliations":[{"raw_affiliation_string":"School of Astronautics, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101046008","display_name":"Shichao Ma","orcid":"https://orcid.org/0000-0003-1395-7189"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shichao Ma","raw_affiliation_strings":["School of Astronautics, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0003-1395-7189","affiliations":[{"raw_affiliation_string":"School of Astronautics, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085244644","display_name":"Xiaobin Lian","orcid":"https://orcid.org/0000-0001-5223-7040"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaobin Lian","raw_affiliation_strings":["School of Astronautics, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0001-5223-7040","affiliations":[{"raw_affiliation_string":"School of Astronautics, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":1.8393,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.8625547,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"31","issue":null,"first_page":"1575","last_page":"1579"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":1.0,"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":1.0,"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":0.9983000159263611,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.998199999332428,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6949566602706909},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.6680788397789001},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6643329858779907},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6382354497909546},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.595341145992279},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.5578688383102417},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.5563058853149414},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5216106176376343},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5078135132789612},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.49333253502845764},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.457880437374115},{"id":"https://openalex.org/keywords/feature-detection","display_name":"Feature detection (computer vision)","score":0.43051719665527344},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.37139999866485596},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2319285273551941}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6949566602706909},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.6680788397789001},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6643329858779907},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6382354497909546},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.595341145992279},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.5578688383102417},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5563058853149414},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5216106176376343},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5078135132789612},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.49333253502845764},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.457880437374115},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.43051719665527344},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.37139999866485596},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2319285273551941},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2024.3410017","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2024.3410017","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.47999998927116394}],"awards":[{"id":"https://openalex.org/G1921854997","display_name":null,"funder_award_id":"12202281","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W2242218935","https://openalex.org/W2607041014","https://openalex.org/W2795283978","https://openalex.org/W2866634454","https://openalex.org/W2908513290","https://openalex.org/W2976718572","https://openalex.org/W3012084003","https://openalex.org/W3034247386","https://openalex.org/W3099091830","https://openalex.org/W3105260381","https://openalex.org/W3133953507","https://openalex.org/W3135592580","https://openalex.org/W3167242157","https://openalex.org/W3167998894","https://openalex.org/W3170026688","https://openalex.org/W3207918547","https://openalex.org/W4221153217","https://openalex.org/W4285604868","https://openalex.org/W4287020683","https://openalex.org/W4312311597","https://openalex.org/W4312646421","https://openalex.org/W4366722712","https://openalex.org/W4367146812","https://openalex.org/W4367297327","https://openalex.org/W4376876039","https://openalex.org/W4380763459","https://openalex.org/W4385346076","https://openalex.org/W4386319016","https://openalex.org/W4387245262","https://openalex.org/W4387829436","https://openalex.org/W4389584731","https://openalex.org/W4390327095","https://openalex.org/W4390872882","https://openalex.org/W4392347282","https://openalex.org/W4392504313","https://openalex.org/W4392878481","https://openalex.org/W4402952320","https://openalex.org/W6785306386","https://openalex.org/W6838831250","https://openalex.org/W6861623427"],"related_works":["https://openalex.org/W4249847449","https://openalex.org/W2554736181","https://openalex.org/W2811293692","https://openalex.org/W1495814089","https://openalex.org/W1969377463","https://openalex.org/W2537408670","https://openalex.org/W3209327644","https://openalex.org/W3561445","https://openalex.org/W2381412720","https://openalex.org/W150588844"],"abstract_inverted_index":{"With":[0],"the":[1,9,56,78,86],"development":[2],"of":[3,11,20,59],"deep":[4],"learning":[5],"and":[6,30,44,85,104,107,135],"super-resolution":[7,13],"reconstruction,":[8],"performance":[10,58],"single-image":[12],"(SISR)":[14],"has":[15],"improved":[16],"significantly.":[17],"However,":[18],"most":[19,51],"them":[21,34],"cannot":[22],"strike":[23],"a":[24,68],"great":[25],"balance":[26],"between":[27],"computational":[28],"cost":[29],"performance,":[31],"which":[32,75],"prevents":[33],"from":[35],"being":[36],"deployed":[37],"on":[38],"edge":[39],"devices.":[40],"Additionally,":[41],"feature":[42,71,81,109],"fusion":[43,72,89],"channel":[45,88,106],"mixing":[46],"are":[47,115],"not":[48],"considered":[49],"in":[50,132],"lightweight":[52,69],"networks,":[53],"leading":[54],"to":[55,117],"limited":[57],"these":[60,130],"networks.":[61],"To":[62],"solve":[63],"such":[64],"problems,":[65],"we":[66],"propose":[67],"pyramid":[70,79],"network":[73],"(PFFN),":[74],"mainly":[76],"contains":[77],"spatial-adaptive":[80],"extraction":[82],"module":[83,90],"(PSAFEM)":[84],"enhanced":[87],"(ECFM).":[91],"They":[92],"can":[93],"extract":[94],"global-to-local":[95],"feature,":[96],"build":[97],"long-range":[98],"dependence":[99],"with":[100,119],"small":[101],"parameters":[102],"increment":[103],"realize":[105],"spatial":[108],"fusion.":[110],"Finally,":[111],"some":[112],"state-of-the-art":[113],"methods":[114,131],"utilized":[116],"compare":[118],"our":[120,127],"network.":[121],"Extensive":[122],"experimental":[123],"results":[124],"indicate":[125],"that":[126],"PFFN":[128],"outperforms":[129],"parameters,":[133],"flops":[134],"performance.":[136]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}