{"id":"https://openalex.org/W1981732339","doi":"https://doi.org/10.1109/iscas.2014.6865333","title":"Segmentation-based scale-invariant nonlocal means super resolution","display_name":"Segmentation-based scale-invariant nonlocal means super resolution","publication_year":2014,"publication_date":"2014-06-01","ids":{"openalex":"https://openalex.org/W1981732339","doi":"https://doi.org/10.1109/iscas.2014.6865333","mag":"1981732339"},"language":"en","primary_location":{"id":"doi:10.1109/iscas.2014.6865333","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2014.6865333","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Symposium on Circuits and Systems (ISCAS)","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/A5067046464","display_name":"Saboya Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Saboya Yang","raw_affiliation_strings":["Institute of Computer Science and Technology, Peking University, Beijing, P. R. China","Institute of Computer Science & Technology, Peking University, Beijing, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Science and Technology, Peking University, Beijing, P. R. China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Institute of Computer Science & Technology, Peking University, Beijing, China#TAB#","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100761525","display_name":"Jiaying Liu","orcid":"https://orcid.org/0000-0002-0468-9576"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaying Liu","raw_affiliation_strings":["Institute of Computer Science and Technology, Peking University, Beijing, P. R. China","Institute of Computer Science & Technology, Peking University, Beijing, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Science and Technology, Peking University, Beijing, P. R. China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Institute of Computer Science & Technology, Peking University, Beijing, China#TAB#","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004549615","display_name":"Qiaochu Li","orcid":"https://orcid.org/0000-0001-8032-9110"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiaochu Li","raw_affiliation_strings":["Institute of Computer Science and Technology, Peking University, Beijing, P. R. China","Institute of Computer Science & Technology, Peking University, Beijing, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Science and Technology, Peking University, Beijing, P. R. China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Institute of Computer Science & Technology, Peking University, Beijing, China#TAB#","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001396675","display_name":"Zongming Guo","orcid":"https://orcid.org/0000-0002-4944-9621"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongming Guo","raw_affiliation_strings":["Institute of Computer Science and Technology, Peking University, Beijing, P. R. China","Institute of Computer Science & Technology, Peking University, Beijing, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Science and Technology, Peking University, Beijing, P. R. China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Institute of Computer Science & Technology, Peking University, Beijing, China#TAB#","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5067046464"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.05901915,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1106","last_page":"1109"},"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9998999834060669,"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/T10531","display_name":"Advanced Vision and Imaging","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"}}],"keywords":[{"id":"https://openalex.org/keywords/zoom","display_name":"Zoom","score":0.7615566253662109},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7399890422821045},{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.7376606464385986},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.644359290599823},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6436375379562378},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6298279762268066},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5725526213645935},{"id":"https://openalex.org/keywords/scale-invariance","display_name":"Scale invariance","score":0.5218157172203064},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47595521807670593},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.421772301197052},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3503015637397766},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3439728617668152},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28977683186531067}],"concepts":[{"id":"https://openalex.org/C124913957","wikidata":"https://www.wikidata.org/wiki/Q1232548","display_name":"Zoom","level":3,"score":0.7615566253662109},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7399890422821045},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.7376606464385986},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.644359290599823},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6436375379562378},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6298279762268066},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5725526213645935},{"id":"https://openalex.org/C135593079","wikidata":"https://www.wikidata.org/wiki/Q1750766","display_name":"Scale invariance","level":2,"score":0.5218157172203064},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47595521807670593},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.421772301197052},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3503015637397766},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3439728617668152},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28977683186531067},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C15336307","wikidata":"https://www.wikidata.org/wiki/Q1766051","display_name":"Lens (geology)","level":2,"score":0.0},{"id":"https://openalex.org/C78762247","wikidata":"https://www.wikidata.org/wiki/Q1273174","display_name":"Petroleum engineering","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas.2014.6865333","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2014.6865333","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1554577289","https://openalex.org/W2026408909","https://openalex.org/W2032309205","https://openalex.org/W2082269683","https://openalex.org/W2118877769","https://openalex.org/W2136920002","https://openalex.org/W2137290314","https://openalex.org/W2137722745","https://openalex.org/W2151103935","https://openalex.org/W6633204923","https://openalex.org/W6677548441","https://openalex.org/W6680322781"],"related_works":["https://openalex.org/W3034955165","https://openalex.org/W2094920358","https://openalex.org/W2041448692","https://openalex.org/W2247121321","https://openalex.org/W2391926582","https://openalex.org/W2087391438","https://openalex.org/W1966831329","https://openalex.org/W2316074893","https://openalex.org/W2020188645","https://openalex.org/W2326240252"],"abstract_inverted_index":{"Zooming":[0],"in/out":[1],"appears":[2],"frequently":[3],"in":[4,16,30,66,77],"video":[5],"shooting,":[6],"which":[7],"makes":[8],"scale":[9,20,75,97,103],"vary":[10],"between":[11],"frames.":[12],"And":[13,86],"object":[14],"motion":[15],"videos":[17],"may":[18],"cause":[19],"change":[21],"of":[22,38,102],"the":[23,28,36,59,62,95,100,116,125,131],"object.":[24],"It":[25,105],"leads":[26],"to":[27,68,98,121],"difficulty":[29],"finding":[31],"similar":[32],"patches":[33,87],"and":[34,136],"causes":[35],"invalidation":[37],"nonlocal":[39],"means":[40],"super":[41],"resolution":[42],"(NLM":[43],"SR).":[44],"In":[45],"this":[46],"paper,":[47],"we":[48],"propose":[49],"a":[50],"novel":[51],"scale-compensated":[52],"NLM":[53],"SR":[54],"algorithm.":[55],"First,":[56],"by":[57,108,119],"considering":[58],"parameter":[60],"model,":[61],"image":[63],"is":[64,106],"segmented":[65],"order":[67],"detect":[69],"regions":[70,79,91],"with":[71,124],"different":[72,78,90],"scales.":[73],"Then,":[74],"variations":[76],"are":[80,92],"computed":[81],"based":[82],"on":[83],"SIFT":[84],"descriptor.":[85],"extracted":[88],"from":[89],"compensated":[93],"into":[94],"same":[96],"eliminate":[99],"effect":[101],"change.":[104],"shown":[107],"experimental":[109],"results":[110,129],"that":[111],"our":[112],"proposed":[113,132],"algorithm":[114],"achieves":[115],"average":[117],"PSNR":[118],"up":[120],"0.678dB":[122],"comparing":[123],"state-of-the-art":[126],"methods.":[127],"Subjective":[128],"demonstrate":[130],"method":[133],"reduces":[134],"artifacts":[135],"preserves":[137],"more":[138],"details.":[139]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
