{"id":"https://openalex.org/W2970464671","doi":"https://doi.org/10.1109/icip.2019.8804271","title":"Image Smoothing Via Gradient Sparsity and Surface Area Minimization","display_name":"Image Smoothing Via Gradient Sparsity and Surface Area Minimization","publication_year":2019,"publication_date":"2019-08-26","ids":{"openalex":"https://openalex.org/W2970464671","doi":"https://doi.org/10.1109/icip.2019.8804271","mag":"2970464671"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2019.8804271","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8804271","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","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/A5101497576","display_name":"Jun Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I184983240","display_name":"Northeast Normal University","ror":"https://ror.org/02rkvz144","country_code":"CN","type":"education","lineage":["https://openalex.org/I184983240"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jun Liu","raw_affiliation_strings":["University of Northeast Normal University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"University of Northeast Normal University, Changchun, China","institution_ids":["https://openalex.org/I184983240"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020987729","display_name":"Ming Yan","orcid":"https://orcid.org/0000-0002-8686-3530"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ming Yan","raw_affiliation_strings":["Michigan State University, East Lansing, MI, USA"],"affiliations":[{"raw_affiliation_string":"Michigan State University, East Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100440528","display_name":"Jinshan Zeng","orcid":"https://orcid.org/0000-0003-1719-3358"},"institutions":[{"id":"https://openalex.org/I53592917","display_name":"Jiangxi Normal University","ror":"https://ror.org/05nkgk822","country_code":"CN","type":"education","lineage":["https://openalex.org/I53592917"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinshan Zeng","raw_affiliation_strings":["Jiangxi Normal University, Nanchang, China"],"affiliations":[{"raw_affiliation_string":"Jiangxi Normal University, Nanchang, China","institution_ids":["https://openalex.org/I53592917"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059443966","display_name":"Tieyong Zeng","orcid":"https://orcid.org/0000-0002-0688-202X"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tieyong Zeng","raw_affiliation_strings":["Chinese University of Hong Kong, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Chinese University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101497576"],"corresponding_institution_ids":["https://openalex.org/I184983240"],"apc_list":null,"apc_paid":null,"fwci":0.2024,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.536659,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1114","last_page":"1118"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement 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/T11019","display_name":"Image Enhancement 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":0.9995999932289124,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9994999766349792,"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/smoothing","display_name":"Smoothing","score":0.8896057605743408},{"id":"https://openalex.org/keywords/sharpening","display_name":"Sharpening","score":0.8499796986579895},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.6675141453742981},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6101531386375427},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.532997727394104},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5315330624580383},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4463222026824951},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3339692950248718},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3257521986961365},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.30568379163742065},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.26114892959594727},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06894746422767639}],"concepts":[{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.8896057605743408},{"id":"https://openalex.org/C2781137444","wikidata":"https://www.wikidata.org/wiki/Q237105","display_name":"Sharpening","level":2,"score":0.8499796986579895},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.6675141453742981},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6101531386375427},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.532997727394104},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5315330624580383},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4463222026824951},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3339692950248718},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3257521986961365},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.30568379163742065},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.26114892959594727},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06894746422767639},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2019.8804271","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8804271","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","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":29,"referenced_works":["https://openalex.org/W1498962850","https://openalex.org/W1528144695","https://openalex.org/W1878947057","https://openalex.org/W1978333359","https://openalex.org/W2016859302","https://openalex.org/W2042460596","https://openalex.org/W2061052400","https://openalex.org/W2078718577","https://openalex.org/W2099244020","https://openalex.org/W2103559027","https://openalex.org/W2104404402","https://openalex.org/W2106403211","https://openalex.org/W2125188192","https://openalex.org/W2141957843","https://openalex.org/W2145023731","https://openalex.org/W2150134853","https://openalex.org/W2156053375","https://openalex.org/W2167307343","https://openalex.org/W2167400582","https://openalex.org/W2231495490","https://openalex.org/W2291143146","https://openalex.org/W2331376995","https://openalex.org/W2500110936","https://openalex.org/W2560072795","https://openalex.org/W2578004414","https://openalex.org/W2996868574","https://openalex.org/W3138446083","https://openalex.org/W4293775970","https://openalex.org/W6639138679"],"related_works":["https://openalex.org/W2329932281","https://openalex.org/W64535957","https://openalex.org/W2043790407","https://openalex.org/W2348902545","https://openalex.org/W2321247741","https://openalex.org/W2136313643","https://openalex.org/W2087564795","https://openalex.org/W2011367085","https://openalex.org/W3136545447","https://openalex.org/W2378331902"],"abstract_inverted_index":{"Image":[0],"smoothing":[1,13,85],"is":[2,23,95,138],"a":[3,76,107,141],"very":[4],"important":[5],"topic":[6],"in":[7],"image":[8,12],"processing.":[9],"Among":[10],"these":[11,58],"methods,":[14],"the":[15,26,31,41,50,53,64,82,86,100,111,116,122,126,135],"L":[16,32,65],"<sub":[17,33,66],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[18,34,67],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">0</sub>":[19,35,68],"gradient":[20,36,69],"minimization":[21,37,93],"method":[22,38,118,133],"one":[24],"of":[25,52,84,88,131,143],"most":[27],"popular":[28],"ones.":[29],"However,":[30],"suffers":[39],"from":[40],"staircasing":[42,123],"effect":[43,124],"and":[44,125],"over-sharpening":[45,127],"issue,":[46],"which":[47],"highly":[48],"degrade":[49],"quality":[51],"smoothed":[54],"image.":[55],"To":[56],"overcome":[57],"issues,":[59],"we":[60],"use":[61],"not":[62],"only":[63],"term":[70,80],"for":[71,81],"finding":[72],"edges,":[73],"but":[74],"also":[75],"surface":[77,113],"area":[78,114],"based":[79],"purpose":[83],"inside":[87],"each":[89,104],"region.":[90],"An":[91],"alternating":[92],"algorithm":[94],"suggested":[96],"to":[97],"efficiently":[98],"solve":[99],"proposed":[101,117],"model,":[102],"where":[103],"subproblem":[105],"has":[106],"closed-form":[108],"solution.":[109],"Leveraging":[110],"introduced":[112],"term,":[115],"can":[119],"effectively":[120],"alleviate":[121],"issue.":[128],"The":[129],"superiority":[130],"our":[132],"over":[134],"state-of-the-art":[136],"methods":[137],"demonstrated":[139],"by":[140],"series":[142],"experiments.":[144]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}