{"id":"https://openalex.org/W2808718311","doi":"https://doi.org/10.1109/icait.2017.8388947","title":"Super-resolution restoration algorithm based on contourlet transform","display_name":"Super-resolution restoration algorithm based on contourlet transform","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2808718311","doi":"https://doi.org/10.1109/icait.2017.8388947","mag":"2808718311"},"language":"en","primary_location":{"id":"doi:10.1109/icait.2017.8388947","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icait.2017.8388947","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 9th International Conference on Advanced Infocomm Technology (ICAIT)","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/A5003314219","display_name":"Huang Rong","orcid":null},"institutions":[{"id":"https://openalex.org/I2799736854","display_name":"Nanjing Institute of Technology","ror":"https://ror.org/00n6txq60","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799736854"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huang Chen Rong","raw_affiliation_strings":["Nanjing Institute of Technicians, Nanjing, Jiangsu, CN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing Institute of Technicians, Nanjing, Jiangsu, CN","institution_ids":["https://openalex.org/I2799736854"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012037864","display_name":"Tang Jia Li","orcid":null},"institutions":[{"id":"https://openalex.org/I4210144214","display_name":"Jiangsu University of Technology","ror":"https://ror.org/04jabhf80","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210144214"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tang Jia Li","raw_affiliation_strings":["College of Computer Engineering, Jiangsu University of Technology, Changzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Engineering, Jiangsu University of Technology, Changzhou, China","institution_ids":["https://openalex.org/I4210144214"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.32634494,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"62","issue":null,"first_page":"367","last_page":"371"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9991000294685364,"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":0.9991000294685364,"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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9980999827384949,"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/contourlet","display_name":"Contourlet","score":0.8147557973861694},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.720298707485199},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6342243552207947},{"id":"https://openalex.org/keywords/stationary-wavelet-transform","display_name":"Stationary wavelet transform","score":0.5140001177787781},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.48402851819992065},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4827360510826111},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.46278125047683716},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4552305340766907},{"id":"https://openalex.org/keywords/top-hat-transform","display_name":"Top-hat transform","score":0.452725887298584},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4464336633682251},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.4425393342971802},{"id":"https://openalex.org/keywords/wavelet-packet-decomposition","display_name":"Wavelet packet decomposition","score":0.44001075625419617},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.4353228807449341},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.43366900086402893},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.41181063652038574},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2811488211154938},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.2584301829338074},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.23849597573280334},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2349516749382019}],"concepts":[{"id":"https://openalex.org/C20479862","wikidata":"https://www.wikidata.org/wiki/Q5165589","display_name":"Contourlet","level":4,"score":0.8147557973861694},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.720298707485199},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6342243552207947},{"id":"https://openalex.org/C73339587","wikidata":"https://www.wikidata.org/wiki/Q1375942","display_name":"Stationary wavelet transform","level":5,"score":0.5140001177787781},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48402851819992065},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4827360510826111},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.46278125047683716},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4552305340766907},{"id":"https://openalex.org/C180064427","wikidata":"https://www.wikidata.org/wiki/Q2880017","display_name":"Top-hat transform","level":5,"score":0.452725887298584},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4464336633682251},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.4425393342971802},{"id":"https://openalex.org/C155777637","wikidata":"https://www.wikidata.org/wiki/Q2736187","display_name":"Wavelet packet decomposition","level":4,"score":0.44001075625419617},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.4353228807449341},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43366900086402893},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.41181063652038574},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2811488211154938},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.2584301829338074},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.23849597573280334},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2349516749382019},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icait.2017.8388947","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icait.2017.8388947","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 9th International Conference on Advanced Infocomm Technology (ICAIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7799999713897705,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1970436661","https://openalex.org/W1978507229","https://openalex.org/W1996052042","https://openalex.org/W1998435731","https://openalex.org/W2004963761","https://openalex.org/W2019900743","https://openalex.org/W2171192836","https://openalex.org/W2525929096","https://openalex.org/W2962727817"],"related_works":["https://openalex.org/W2022661243","https://openalex.org/W2053682625","https://openalex.org/W2385024119","https://openalex.org/W2144408025","https://openalex.org/W2382287448","https://openalex.org/W2066485764","https://openalex.org/W2374887286","https://openalex.org/W2144834862","https://openalex.org/W1506615375","https://openalex.org/W2085792030"],"abstract_inverted_index":{"The":[0,92],"image":[1,17,21,23,25,27],"super-resolution":[2,85],"reconstruction":[3,86],"algorithm":[4,87,93,130],"based":[5,88],"on":[6,89,135],"wavelet":[7,34,58,98],"transform":[8,35,59],"is":[9,46,125],"widely":[10],"used":[11],"in":[12,147],"almost":[13],"all":[14],"applications":[15],"of":[16,43,51,71,76,79,97,109,144,150,154],"restoration":[18],"such":[19],"as":[20],"coding,":[22],"enhancement,":[24],"drying,":[26],"fusion":[28],"and":[29,41,45,64,113,141,161],"so":[30],"on.":[31],"But":[32],"the":[33,39,49,52,57,62,68,72,95,100,107,110,128,137,142,148,151,155,158],"can":[36,65,104],"only":[37],"express":[38],"location":[40],"characteristics":[42,108],"singularity,":[44],"powerless":[47],"for":[48,117],"feature":[50],"higher":[53],"dimension.":[54],"In":[55,74],"addition,":[56],"kernel":[60],"lacks":[61],"directivity,":[63],"not":[66],"obtain":[67],"geometric":[69],"smoothness":[70],"contour.":[73],"view":[75],"this":[77,81],"kind":[78],"problem,":[80],"paper":[82],"proposes":[83],"a":[84,132],"Contourlet":[90],"transform.":[91],"extends":[94],"advantages":[96],"to":[99],"high-dimensional":[101,111],"space,":[102,112],"which":[103],"better":[105],"describe":[106],"be":[114],"more":[115],"suitable":[116],"dealing":[118],"with":[119,121,163],"information":[120,153],"hyperplane":[122],"singularity.":[123],"It":[124],"concluded":[126],"that":[127],"improved":[129],"has":[131],"good":[133],"effect":[134,140],"both":[136],"subjective":[138],"visual":[139],"aspect":[143],"PSNR,":[145],"especially":[146],"recovery":[149],"detailed":[152],"image,":[156],"by":[157],"experimental":[159],"simulation":[160],"compared":[162],"other":[164],"algorithms.":[165]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
