{"id":"https://openalex.org/W2525052651","doi":"https://doi.org/10.1109/icmew.2016.7574737","title":"A sparse representation based post-processing method for improving image super-resolution","display_name":"A sparse representation based post-processing method for improving image super-resolution","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2525052651","doi":"https://doi.org/10.1109/icmew.2016.7574737","mag":"2525052651"},"language":"en","primary_location":{"id":"doi:10.1109/icmew.2016.7574737","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmew.2016.7574737","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Multimedia &amp; Expo Workshops (ICMEW)","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/A5101503942","display_name":"Jun Yang","orcid":"https://orcid.org/0000-0002-2490-1765"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"id":"https://openalex.org/I4210129003","display_name":"SYSU-CMU International Joint Research Institute","ror":"https://ror.org/02w30ae27","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210129003"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Yang","raw_affiliation_strings":["SYSU-CMU Shunde International Joint Research Institute, China","School of Data and Computer Science, Sun Yat-sen University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SYSU-CMU Shunde International Joint Research Institute, China","institution_ids":["https://openalex.org/I4210129003","https://openalex.org/I157773358"]},{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102244962","display_name":"Jun Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Guo","raw_affiliation_strings":["School of Data and Computer Science, Sun Yat-sen University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061525421","display_name":"Hongyang Chao","orcid":"https://orcid.org/0000-0002-6104-2322"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongyang Chao","raw_affiliation_strings":["School of Data and Computer Science, Sun Yat-sen University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"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":0.09542852,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9955999851226807,"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":0.9954000115394592,"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/tweaking","display_name":"Tweaking","score":0.7389549016952515},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7139143347740173},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.6512805223464966},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6422889232635498},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.6322517395019531},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6066288948059082},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.49223580956459045},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4799899756908417},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44946178793907166},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.43809252977371216},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.42255303263664246},{"id":"https://openalex.org/keywords/superresolution","display_name":"Superresolution","score":0.4111679196357727},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38871660828590393},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2527502775192261}],"concepts":[{"id":"https://openalex.org/C2780200862","wikidata":"https://www.wikidata.org/wiki/Q4453309","display_name":"Tweaking","level":2,"score":0.7389549016952515},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7139143347740173},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.6512805223464966},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6422889232635498},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.6322517395019531},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6066288948059082},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.49223580956459045},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4799899756908417},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44946178793907166},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.43809252977371216},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.42255303263664246},{"id":"https://openalex.org/C141239990","wikidata":"https://www.wikidata.org/wiki/Q957423","display_name":"Superresolution","level":3,"score":0.4111679196357727},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38871660828590393},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2527502775192261},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmew.2016.7574737","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmew.2016.7574737","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Multimedia &amp; Expo Workshops (ICMEW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W34962992","https://openalex.org/W54257720","https://openalex.org/W1601729531","https://openalex.org/W1791560514","https://openalex.org/W1885185971","https://openalex.org/W1906770428","https://openalex.org/W1930824406","https://openalex.org/W1976416062","https://openalex.org/W2010070459","https://openalex.org/W2045737896","https://openalex.org/W2047920195","https://openalex.org/W2056370875","https://openalex.org/W2118963448","https://openalex.org/W2121058967","https://openalex.org/W2127271355","https://openalex.org/W2149760002","https://openalex.org/W2150081556","https://openalex.org/W2534320940","https://openalex.org/W4377561911","https://openalex.org/W6635872530","https://openalex.org/W6639853470"],"related_works":["https://openalex.org/W4241780599","https://openalex.org/W2968428037","https://openalex.org/W1981619058","https://openalex.org/W2152101763","https://openalex.org/W4244708442","https://openalex.org/W4323777416","https://openalex.org/W2505446473","https://openalex.org/W2057518680","https://openalex.org/W2258058088","https://openalex.org/W1826223126"],"abstract_inverted_index":{"The":[0,72],"objective":[1],"of":[2,57,75,112],"this":[3],"work":[4],"is":[5,12,78],"image":[6,17,22,42,86,91],"super-resolution":[7],"(SR),":[8],"where":[9],"the":[10,55,102,106,113,119],"input":[11],"specified":[13],"by":[14,46,88,99],"a":[15,19,28],"low-resolution":[16],"and":[18,34,49,68,83,93,109],"consistent":[20],"higher-resolution":[21],"should":[23],"be":[24],"returned.":[25],"We":[26],"propose":[27],"post-processing":[29],"procedure":[30],"named":[31],"iterative":[32],"fine-tuning":[33,48],"approximation":[35,53],"(IFA)":[36],"for":[37,126],"mainstream":[38],"SR":[39,60],"methods.":[40],"Internal":[41],"statistics":[43],"are":[44],"complemented":[45],"iteratively":[47,100],"performing":[50],"linear":[51],"subspace":[52],"on":[54],"outputs":[56],"existing":[58,128],"external":[59],"methods,":[61],"helping":[62],"to":[63],"better":[64],"reconstruct":[65],"missing":[66],"details":[67,111],"reduce":[69],"unwanted":[70],"artifacts.":[71],"primary":[73,107],"concept":[74],"our":[76],"method":[77],"that":[79,118],"it":[80],"first":[81],"explores":[82],"enhances":[84],"internal":[85],"information":[87],"grouping":[89],"similar":[90],"patches":[92],"then":[94],"finds":[95],"their":[96,132],"sparse":[97],"representations":[98],"learning":[101],"bases,":[103],"thereby":[104],"enhancing":[105],"structures":[108],"some":[110],"image.":[114],"Experiment":[115],"results":[116],"demonstrate":[117],"proposed":[120],"IFA":[121],"can":[122],"yield":[123],"substantial":[124],"improvements":[125],"most":[127],"methods":[129],"via":[130],"tweaking":[131],"outputs,":[133],"achieving":[134],"state-of-the-art":[135],"performance.":[136]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
