{"id":"https://openalex.org/W2792147336","doi":"https://doi.org/10.1109/lsp.2018.2817612","title":"Information-Compensated Downsampling for Image Super-Resolution","display_name":"Information-Compensated Downsampling for Image Super-Resolution","publication_year":2018,"publication_date":"2018-03-21","ids":{"openalex":"https://openalex.org/W2792147336","doi":"https://doi.org/10.1109/lsp.2018.2817612","mag":"2792147336"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2018.2817612","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2018.2817612","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/A5100398583","display_name":"Yifan Wang","orcid":"https://orcid.org/0000-0003-1223-136X"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yifan Wang","raw_affiliation_strings":["School of Information and Communication Engineering, Dalian University of Technology, Dalian, China","School of Information & Communication Engineering, Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]},{"raw_affiliation_string":"School of Information & Communication Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100318892","display_name":"Lijun Wang","orcid":"https://orcid.org/0000-0003-2538-8358"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lijun Wang","raw_affiliation_strings":["School of Information and Communication Engineering, Dalian University of Technology, Dalian, China","School of Information & Communication Engineering, Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]},{"raw_affiliation_string":"School of Information & Communication Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100422639","display_name":"Hongyu Wang","orcid":"https://orcid.org/0000-0002-1038-412X"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongyu Wang","raw_affiliation_strings":["School of Information and Communication Engineering, Dalian University of Technology, Dalian, China","School of Information & Communication Engineering, Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]},{"raw_affiliation_string":"School of Information & Communication Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070918242","display_name":"Peihua Li","orcid":"https://orcid.org/0000-0001-7229-3867"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peihua Li","raw_affiliation_strings":["School of Information and Communication Engineering, Dalian University of Technology, Dalian, China","School of Information & Communication Engineering, Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]},{"raw_affiliation_string":"School of Information & Communication Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100398583"],"corresponding_institution_ids":["https://openalex.org/I27357992"],"apc_list":null,"apc_paid":null,"fwci":0.851,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.7849035,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"25","issue":"5","first_page":"685","last_page":"689"},"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":0.9958000183105469,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9954000115394592,"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/upsampling","display_name":"Upsampling","score":0.9653136730194092},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7787574529647827},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.7516643404960632},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6871606707572937},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.669084906578064},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6454344987869263},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5298442840576172},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5194644331932068},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4685937464237213},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.45584529638290405},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.42555463314056396},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.42353370785713196},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12348145246505737}],"concepts":[{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.9653136730194092},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7787574529647827},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.7516643404960632},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6871606707572937},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.669084906578064},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6454344987869263},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5298442840576172},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5194644331932068},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4685937464237213},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.45584529638290405},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.42555463314056396},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.42353370785713196},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12348145246505737},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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.2018.2817612","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2018.2817612","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":[],"awards":[{"id":"https://openalex.org/G1500189215","display_name":null,"funder_award_id":"61671103","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4507495399","display_name":null,"funder_award_id":"61471082","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/W935139217","https://openalex.org/W1522301498","https://openalex.org/W1599195847","https://openalex.org/W1686810756","https://openalex.org/W1791560514","https://openalex.org/W1861492603","https://openalex.org/W1885185971","https://openalex.org/W1919542679","https://openalex.org/W2035677848","https://openalex.org/W2047920195","https://openalex.org/W2088254198","https://openalex.org/W2098506229","https://openalex.org/W2102605133","https://openalex.org/W2117539524","https://openalex.org/W2118963448","https://openalex.org/W2121058967","https://openalex.org/W2121927366","https://openalex.org/W2133665775","https://openalex.org/W2150081556","https://openalex.org/W2157494358","https://openalex.org/W2187133255","https://openalex.org/W2202656999","https://openalex.org/W2214802144","https://openalex.org/W2242218935","https://openalex.org/W2307770531","https://openalex.org/W2342431481","https://openalex.org/W2476548250","https://openalex.org/W2503339013","https://openalex.org/W2505593925","https://openalex.org/W2535388113","https://openalex.org/W2626739722","https://openalex.org/W2953318193","https://openalex.org/W2963037581","https://openalex.org/W2963186101","https://openalex.org/W2963446712","https://openalex.org/W2963470893","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6725212907","https://openalex.org/W6739806132"],"related_works":["https://openalex.org/W2559156603","https://openalex.org/W4287394948","https://openalex.org/W4300832495","https://openalex.org/W2987852271","https://openalex.org/W2967990525","https://openalex.org/W2949066288","https://openalex.org/W3119356360","https://openalex.org/W3202075396","https://openalex.org/W4214604401","https://openalex.org/W2810679507"],"abstract_inverted_index":{"A":[0],"large":[1],"receptive":[2,132],"field":[3,133],"of":[4,153,156],"deep":[5],"networks":[6],"can":[7,161],"better":[8,135],"incorporate":[9],"image":[10,14,38,137,142],"context":[11,118],"and":[12,26,70,134,160],"benefits":[13],"super-resolution":[15],"(SR)":[16],"in":[17,164],"many":[18],"ways.":[19],"However,":[20],"common":[21],"techniques,":[22],"like":[23],"strided":[24],"pooling":[25,63,123],"convolutional":[27],"operations,":[28],"are":[29,90,108,145],"not":[30],"directly":[31],"applicable":[32],"to":[33,36,65,78,92,99,111,116,147],"SR":[34],"due":[35],"severe":[37],"detail":[39],"losses.":[40],"In":[41,103],"this":[42,46],"letter,":[43],"we":[44],"circumvent":[45],"issue":[47],"by":[48,97],"proposing":[49],"a":[50,154],"new":[51],"network":[52,151],"architecture,":[53],"namely":[54],"the":[55,74,79,100,112,125,172,178],"information-compensated":[56],"(IC)":[57],"downsampling":[58,98,127,158],"block.":[59],"It":[60],"first":[61],"uses":[62],"layers":[64],"downsample":[66],"input":[67],"feature":[68,75,114],"maps":[69,76,115],"then":[71],"immediately":[72],"upsamples":[73],"back":[77],"original":[80],"size.":[81],"To":[82],"further":[83],"compensate":[84],"for":[85],"information":[86],"loss,":[87],"skip":[88],"connections":[89],"added":[91],"propagate":[93],"lost":[94],"features":[95],"caused":[96],"upsampled":[101],"output.":[102],"addition,":[104],"pixelwise":[105],"recurrent":[106],"units":[107],"also":[109,140],"applied":[110],"downsampled":[113],"model":[117],"coherence.":[119],"Compared":[120],"with":[121],"traditional":[122],"layers,":[124],"IC":[126,157],"blocks":[128,159],"cannot":[129],"only":[130],"enlarge":[131],"capture":[136],"context,":[138],"but":[139],"preserve":[141],"details,":[143],"which":[144],"essential":[146],"SR.":[148],"The":[149],"final":[150],"consists":[152],"stack":[155],"be":[162],"trained":[163],"an":[165],"end-to-end":[166],"manner.":[167],"Experimental":[168],"results":[169],"verify":[170],"that":[171],"proposed":[173],"method":[174],"performs":[175],"favorably":[176],"against":[177],"state-of-the-art":[179],"approaches.":[180]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2}],"updated_date":"2026-03-31T07:56:22.981413","created_date":"2025-10-10T00:00:00"}
