{"id":"https://openalex.org/W4412100051","doi":"https://doi.org/10.1145/3725949.3725961","title":"Structure Preserving Image Super-Resolution Towards Big Data","display_name":"Structure Preserving Image Super-Resolution Towards Big Data","publication_year":2024,"publication_date":"2024-11-22","ids":{"openalex":"https://openalex.org/W4412100051","doi":"https://doi.org/10.1145/3725949.3725961"},"language":"en","primary_location":{"id":"doi:10.1145/3725949.3725961","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3725949.3725961","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 7th International Conference on Sensors, Signal and Image Processing","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/A5101753388","display_name":"Rui Su","orcid":"https://orcid.org/0000-0002-3003-9358"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Rui Su","raw_affiliation_strings":["School of Information Science and Engineering, Shandong University, Qingdao, Shandong, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shandong University, Qingdao, Shandong, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101009464","display_name":"Xianming Wu","orcid":"https://orcid.org/0009-0001-9857-5376"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianming Wu","raw_affiliation_strings":["School of Information Science and Engineering, Shandong University, Qingdao, Shandong, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shandong University, Qingdao, Shandong, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114208250","display_name":"Lei Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Chen","raw_affiliation_strings":["School of Information Science and Engineering, Shandong University, Qingdao, Shandong, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shandong University, Qingdao, Shandong, China","institution_ids":["https://openalex.org/I154099455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101753388"],"corresponding_institution_ids":["https://openalex.org/I154099455"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.31785456,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"56","last_page":"61"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.998199999332428,"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":0.9958999752998352,"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/computer-science","display_name":"Computer science","score":0.6166804432868958},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.48749232292175293},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.47303029894828796},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.4559533894062042},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3826308846473694},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3646259903907776},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2387140989303589}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6166804432868958},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.48749232292175293},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.47303029894828796},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.4559533894062042},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3826308846473694},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3646259903907776},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2387140989303589}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3725949.3725961","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3725949.3725961","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 7th International Conference on Sensors, Signal and Image Processing","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":27,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1991867157","https://openalex.org/W2186222003","https://openalex.org/W2331128040","https://openalex.org/W2557227117","https://openalex.org/W2765811365","https://openalex.org/W2866634454","https://openalex.org/W2883996939","https://openalex.org/W2891158090","https://openalex.org/W2954930822","https://openalex.org/W2963470893","https://openalex.org/W2964101377","https://openalex.org/W2967400231","https://openalex.org/W3019028675","https://openalex.org/W3020592779","https://openalex.org/W3033492948","https://openalex.org/W3174329573","https://openalex.org/W3199532396","https://openalex.org/W4220911136","https://openalex.org/W4226316719","https://openalex.org/W4236965008","https://openalex.org/W4301409532","https://openalex.org/W4361186089","https://openalex.org/W4379386555","https://openalex.org/W4387327918","https://openalex.org/W6759755739","https://openalex.org/W6789876416"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"With":[0],"the":[1,12,25,54,57,61,70,86,92],"rapid":[2],"development":[3],"of":[4,14,56,64,72,88,122],"big":[5,21],"data,":[6],"single":[7],"image":[8,34,48,75,79],"super-resolution":[9,35,49,80],"(SISR)":[10],"has":[11,38],"disadvantage":[13],"not":[15],"being":[16],"able":[17],"to":[18,24,27,52,59],"integrate":[19],"with":[20],"data":[22],"due":[23],"inability":[26,58],"fully":[28],"utilize":[29],"massive":[30],"information.":[31],"Therefore,":[32],"reference-based":[33,47,78],"(RefSR)":[36],"technology":[37],"emerged.":[39],"In":[40],"this":[41],"paper,":[42],"we":[43],"propose":[44],"a":[45],"structure-preserving":[46],"(SPRefSR)":[50],"method":[51,83],"address":[53],"problem":[55],"reuse":[60],"structural":[62],"information":[63],"reference":[65],"images":[66],"and":[67,98,108,125],"effectively":[68,84],"restore":[69],"self-structure":[71,96],"low":[73],"resolution":[74],"in":[76,120],"existing":[77],"methods.":[81],"Our":[82],"improves":[85],"performance":[87],"RefSR":[89,118],"by":[90],"designing":[91],"wavelet":[93],"downsampling":[94],"block,":[95],"branch,":[97],"structure":[99],"losses.":[100],"The":[101],"experimental":[102],"results":[103],"on":[104],"CUFED5,":[105],"Sunhays80,":[106],"Urban100":[107],"Manga109":[109],"benchmarks":[110],"demonstrate":[111],"that":[112],"our":[113],"proposed":[114],"framework":[115],"outperforms":[116],"related":[117],"methods":[119],"terms":[121],"LPIPS,":[123],"PSNR,":[124],"SSIM":[126],"metrics.":[127]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}