{"id":"https://openalex.org/W4399658452","doi":"https://doi.org/10.1145/3641584.3641675","title":"Image Super-Resolution Based on Variational Autoencoder and Channel Attention","display_name":"Image Super-Resolution Based on Variational Autoencoder and Channel Attention","publication_year":2023,"publication_date":"2023-09-22","ids":{"openalex":"https://openalex.org/W4399658452","doi":"https://doi.org/10.1145/3641584.3641675"},"language":"en","primary_location":{"id":"doi:10.1145/3641584.3641675","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3641584.3641675","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 6th International Conference on Artificial Intelligence and Pattern Recognition (AIPR)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101981457","display_name":"Jian Xu","orcid":"https://orcid.org/0000-0002-3983-1552"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Xu","raw_affiliation_strings":["Xi'an University of Posts and Telecommunications, China"],"raw_orcid":"https://orcid.org/0000-0002-3983-1552","affiliations":[{"raw_affiliation_string":"Xi'an University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"last","author":{"id":null,"display_name":"Yurong Zhao","orcid":"https://orcid.org/0009-0002-4185-9738"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yurong Zhao","raw_affiliation_strings":["Xi'an University of Posts and Telecommunications, China"],"raw_orcid":"https://orcid.org/0009-0002-4185-9738","affiliations":[{"raw_affiliation_string":"Xi'an University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I4210136859"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210136859"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"611","last_page":"616"},"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":0.9919000267982483,"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/autoencoder","display_name":"Autoencoder","score":0.9202616214752197},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6385562419891357},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5985926985740662},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5950412750244141},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.5588866472244263},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5364642143249512},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5024847984313965},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4472254514694214},{"id":"https://openalex.org/keywords/high-resolution","display_name":"High resolution","score":0.4130093455314636},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3932325541973114},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.18755578994750977},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.1638801395893097},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.14942443370819092},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.13953626155853271}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.9202616214752197},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6385562419891357},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5985926985740662},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5950412750244141},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.5588866472244263},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5364642143249512},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5024847984313965},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4472254514694214},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.4130093455314636},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3932325541973114},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.18755578994750977},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.1638801395893097},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.14942443370819092},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.13953626155853271}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3641584.3641675","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3641584.3641675","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 6th International Conference on Artificial Intelligence and Pattern Recognition (AIPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W2016482162","https://openalex.org/W2104098454","https://openalex.org/W2242218935","https://openalex.org/W2503458650","https://openalex.org/W2612585477","https://openalex.org/W2779812541","https://openalex.org/W2950116990","https://openalex.org/W2952773607","https://openalex.org/W2963420686","https://openalex.org/W2963470893","https://openalex.org/W3013529009","https://openalex.org/W3035996440","https://openalex.org/W3108106269","https://openalex.org/W3128643383","https://openalex.org/W3174865552","https://openalex.org/W3176793854","https://openalex.org/W3178317539","https://openalex.org/W3178648163","https://openalex.org/W3202903235","https://openalex.org/W3204971388","https://openalex.org/W4223483730","https://openalex.org/W4289752563","https://openalex.org/W4310238736","https://openalex.org/W4311415873","https://openalex.org/W7139033639"],"related_works":["https://openalex.org/W2362774332","https://openalex.org/W4249245269","https://openalex.org/W2025681766","https://openalex.org/W2765548132","https://openalex.org/W2159897444","https://openalex.org/W2542402767","https://openalex.org/W3023086044","https://openalex.org/W4212954839","https://openalex.org/W2142226356","https://openalex.org/W3210000161"],"abstract_inverted_index":{"Super-resolution":[0],"(SR)":[1],"method":[2,117],"based":[3],"on":[4],"generative":[5],"adversarial":[6],"networks":[7],"(GANs)":[8],"has":[9],"achieved":[10],"excellent":[11],"performance":[12],"in":[13],"both":[14],"visual":[15,136],"perception":[16],"and":[17,49,57,69,79,102,113,126],"image":[18,48,63],"quality.":[19,137],"However,":[20],"there":[21],"is":[22],"still":[23],"room":[24],"for":[25],"improvement.":[26],"Therefore,":[27],"we":[28,86],"propose":[29],"a":[30,54,88],"variational":[31],"autoencoder":[32],"(VAE)":[33],"network":[34],"architecture.":[35],"The":[36,67,138],"VAE":[37,68,112],"encoder":[38],"can":[39],"learn":[40],"the":[41,45,51,58,61,94,98,109,115,142,145],"probability":[42,52],"distribution":[43],"of":[44,111,144],"low-resolution":[46],"(LR)":[47],"reflect":[50],"with":[53],"latent":[55,65],"variable,":[56],"decoder":[59],"restores":[60],"original":[62],"through":[64],"variables.":[66],"discriminator":[70,95],"work":[71],"together":[72],"to":[73,96],"effectively":[74],"distinguish":[75],"between":[76,100],"generated":[77],"images":[78],"real":[80],"high-resolution":[81],"(HR)":[82],"images.":[83],"In":[84],"addition,":[85],"introduce":[87],"channel":[89],"attention":[90],"(CA)":[91],"mechanism":[92],"into":[93],"improve":[97],"cohesion":[99],"channels":[101],"extract":[103],"useful":[104],"features":[105],"more":[106,134],"effectively.":[107],"With":[108],"help":[110],"CA,":[114],"proposed":[116,146],"achieves":[118],"not":[119],"only":[120],"higher":[121],"peak":[122],"signal-to-noise":[123],"ratio":[124],"(PSNR)":[125],"structural":[127],"similarity":[128],"index":[129],"(SSIM)":[130],"values,":[131],"but":[132],"also":[133],"realistic":[135],"experimental":[139],"results":[140],"verify":[141],"feasibility":[143],"method.":[147]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}