{"id":"https://openalex.org/W2550598054","doi":"https://doi.org/10.1109/iscit.2016.7751610","title":"Improved nonlinear resolution enhancement based on Laplacian pyramid","display_name":"Improved nonlinear resolution enhancement based on Laplacian pyramid","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2550598054","doi":"https://doi.org/10.1109/iscit.2016.7751610","mag":"2550598054"},"language":"en","primary_location":{"id":"doi:10.1109/iscit.2016.7751610","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscit.2016.7751610","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 16th International Symposium on Communications and Information Technologies (ISCIT)","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/A5054569307","display_name":"Shaohua Hong","orcid":"https://orcid.org/0000-0002-0404-2932"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shaohua Hong","raw_affiliation_strings":["Dept. of Communication Engineering, Xiamen University, Xiamen, Fujian, China"],"affiliations":[{"raw_affiliation_string":"Dept. of Communication Engineering, Xiamen University, Xiamen, Fujian, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024667796","display_name":"Xinyuan Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyuan Yu","raw_affiliation_strings":["Dept. of Communication Engineering, Xiamen University, Xiamen, Fujian, China"],"affiliations":[{"raw_affiliation_string":"Dept. of Communication Engineering, Xiamen University, Xiamen, Fujian, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071976103","display_name":"Qiwang Chen","orcid":"https://orcid.org/0000-0002-6562-8507"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiwang Chen","raw_affiliation_strings":["Dept. of Communication Engineering, Xiamen University, Xiamen, Fujian, China"],"affiliations":[{"raw_affiliation_string":"Dept. of Communication Engineering, Xiamen University, Xiamen, Fujian, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100403226","display_name":"Lin Wang","orcid":"https://orcid.org/0000-0003-1026-0060"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Wang","raw_affiliation_strings":["Dept. of Communication Engineering, Xiamen University, Xiamen, Fujian, China"],"affiliations":[{"raw_affiliation_string":"Dept. of Communication Engineering, Xiamen University, Xiamen, Fujian, China","institution_ids":["https://openalex.org/I191208505"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5054569307"],"corresponding_institution_ids":["https://openalex.org/I191208505"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.11952271,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"106","issue":null,"first_page":"146","last_page":"150"},"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/T11569","display_name":"Optical Coherence Tomography Applications","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9983000159263611,"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/sharpening","display_name":"Sharpening","score":0.9810539484024048},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.6959637403488159},{"id":"https://openalex.org/keywords/laplace-operator","display_name":"Laplace operator","score":0.6096594333648682},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.5640485286712646},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.48270726203918457},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46977633237838745},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4667081832885742},{"id":"https://openalex.org/keywords/contourlet","display_name":"Contourlet","score":0.42458534240722656},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.41373714804649353},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.413621723651886},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3573552966117859},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2894766628742218},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.0993705689907074},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.09876024723052979},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.08252733945846558}],"concepts":[{"id":"https://openalex.org/C2781137444","wikidata":"https://www.wikidata.org/wiki/Q237105","display_name":"Sharpening","level":2,"score":0.9810539484024048},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.6959637403488159},{"id":"https://openalex.org/C165700671","wikidata":"https://www.wikidata.org/wiki/Q203484","display_name":"Laplace operator","level":2,"score":0.6096594333648682},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.5640485286712646},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.48270726203918457},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46977633237838745},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4667081832885742},{"id":"https://openalex.org/C20479862","wikidata":"https://www.wikidata.org/wiki/Q5165589","display_name":"Contourlet","level":4,"score":0.42458534240722656},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.41373714804649353},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.413621723651886},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3573552966117859},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2894766628742218},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0993705689907074},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.09876024723052979},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.08252733945846558},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscit.2016.7751610","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscit.2016.7751610","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 16th International Symposium on Communications and Information Technologies (ISCIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.4399999976158142}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2068699225","https://openalex.org/W2097074225","https://openalex.org/W2103504761","https://openalex.org/W2109773745","https://openalex.org/W2115683997","https://openalex.org/W2131758016","https://openalex.org/W2144960194","https://openalex.org/W2157494358","https://openalex.org/W2158253930","https://openalex.org/W2165759054","https://openalex.org/W2393362325","https://openalex.org/W2570457768"],"related_works":["https://openalex.org/W1973473859","https://openalex.org/W2039333314","https://openalex.org/W2356416985","https://openalex.org/W2358940597","https://openalex.org/W1989187133","https://openalex.org/W2028903165","https://openalex.org/W2029433073","https://openalex.org/W1520094168","https://openalex.org/W2085686114","https://openalex.org/W2065646058"],"abstract_inverted_index":{"In":[0,27],"this":[1],"paper,":[2],"an":[3],"improved":[4,69],"nonlinear":[5,23,55,81],"resolution":[6,24,82],"enhancement":[7,25,83],"scheme":[8],"based":[9,57],"on":[10,58],"Laplacian":[11],"pyramid":[12],"is":[13,51],"proposed,":[14],"which":[15],"incorporates":[16],"the":[17,28,31,40,43,47,59,67],"peak":[18,32,60],"sharpening":[19,33,61],"technique":[20],"into":[21],"conventional":[22,80],"methods.":[26,84],"proposed":[29,68],"scheme,":[30],"algorithms":[34],"are":[35],"firstly":[36],"introduced":[37],"to":[38],"narrow":[39],"component":[41,50],"with":[42],"shape":[44],"preserved.":[45],"Then":[46],"higher":[48],"frequency":[49],"generated":[52],"by":[53],"a":[54,72],"process":[56],"results.":[62],"Simulation":[63],"results":[64],"indicate":[65],"that":[66],"algorithm":[70],"obtains":[71],"better":[73],"subjective":[74],"quality":[75],"and":[76],"objective":[77],"performance":[78],"than":[79]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
