{"id":"https://openalex.org/W2509315619","doi":"https://doi.org/10.1109/icip.2016.7532590","title":"Structure preserving single image super-resolution","display_name":"Structure preserving single image super-resolution","publication_year":2016,"publication_date":"2016-08-17","ids":{"openalex":"https://openalex.org/W2509315619","doi":"https://doi.org/10.1109/icip.2016.7532590","mag":"2509315619"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2016.7532590","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7532590","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 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/A5080748839","display_name":"Fan Yang","orcid":"https://orcid.org/0000-0002-7938-2763"},"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":"Fan Yang","raw_affiliation_strings":["National Engineering Laboratory for Video Technology, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Video Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100532111","display_name":"Xie Don","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Don Xie","raw_affiliation_strings":["Beida Information Research, Cooperative Medianet Innovation Center"],"affiliations":[{"raw_affiliation_string":"Beida Information Research, Cooperative Medianet Innovation Center","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027946490","display_name":"Huizhu Jia","orcid":"https://orcid.org/0000-0002-2778-3768"},"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":"Huizhu Jia","raw_affiliation_strings":["National Engineering Laboratory for Video Technology, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Video Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100618297","display_name":"Rui Chen","orcid":"https://orcid.org/0000-0003-0705-6739"},"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":"Rui Chen","raw_affiliation_strings":["National Engineering Laboratory for Video Technology, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Video Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038924501","display_name":"Guoqing Xiang","orcid":"https://orcid.org/0000-0001-5831-1897"},"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":"Guoqing Xiang","raw_affiliation_strings":["National Engineering Laboratory for Video Technology, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Video Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018478553","display_name":"Wen Gao","orcid":"https://orcid.org/0000-0002-8070-802X"},"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":"Wen Gao","raw_affiliation_strings":["National Engineering Laboratory for Video Technology, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Video Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5080748839"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07209626,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"4","issue":null,"first_page":"1409","last_page":"1413"},"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":0.9973999857902527,"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":0.9970999956130981,"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/ringing-artifacts","display_name":"Ringing artifacts","score":0.8155003786087036},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.651946485042572},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6379057765007019},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6348015666007996},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.6285893321037292},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5916211605072021},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5647042989730835},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5357899069786072},{"id":"https://openalex.org/keywords/image-gradient","display_name":"Image gradient","score":0.5025968551635742},{"id":"https://openalex.org/keywords/structure-tensor","display_name":"Structure tensor","score":0.4468190371990204},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4222072958946228},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.40172287821769714},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38598474860191345},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37904006242752075},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2875020503997803},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.27994304895401},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.0990145206451416}],"concepts":[{"id":"https://openalex.org/C17828673","wikidata":"https://www.wikidata.org/wiki/Q7334899","display_name":"Ringing artifacts","level":3,"score":0.8155003786087036},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.651946485042572},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6379057765007019},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6348015666007996},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.6285893321037292},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5916211605072021},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5647042989730835},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5357899069786072},{"id":"https://openalex.org/C182037307","wikidata":"https://www.wikidata.org/wiki/Q17039097","display_name":"Image gradient","level":5,"score":0.5025968551635742},{"id":"https://openalex.org/C113315163","wikidata":"https://www.wikidata.org/wiki/Q7625159","display_name":"Structure tensor","level":3,"score":0.4468190371990204},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4222072958946228},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.40172287821769714},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38598474860191345},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37904006242752075},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2875020503997803},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.27994304895401},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0990145206451416}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2016.7532590","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7532590","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 Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1986970696","https://openalex.org/W1995258445","https://openalex.org/W2015374556","https://openalex.org/W2016598597","https://openalex.org/W2033943003","https://openalex.org/W2080875060","https://openalex.org/W2097073572","https://openalex.org/W2121058967","https://openalex.org/W2124378283","https://openalex.org/W2124467867","https://openalex.org/W2150722332","https://openalex.org/W2157190232","https://openalex.org/W2157494358","https://openalex.org/W2160065436","https://openalex.org/W2172128189","https://openalex.org/W6654523986","https://openalex.org/W6678333510"],"related_works":["https://openalex.org/W2739273756","https://openalex.org/W2387510934","https://openalex.org/W4281937456","https://openalex.org/W4312567938","https://openalex.org/W4283806690","https://openalex.org/W2545065926","https://openalex.org/W2356242818","https://openalex.org/W2348584852","https://openalex.org/W2545393398","https://openalex.org/W2362724415"],"abstract_inverted_index":{"In":[0,23],"this":[1],"paper,":[2],"we":[3],"present":[4],"a":[5,32,40],"novel":[6,33],"structure":[7,56],"preserving":[8,35,48,70],"method":[9],"for":[10],"single":[11],"image":[12,63],"super-resolution":[13],"to":[14,72],"well":[15,41],"construct":[16],"edge":[17,34,47,69],"structures":[18],"and":[19,45,54,93,96,114],"small":[20],"detail":[21,75],"structures.":[22,76],"our":[24],"approach,":[25],"the":[26,46,52,74,81,87,108],"sharp":[27,91],"edges":[28,92],"are":[29,103],"recovered":[30],"via":[31],"interpolation":[36],"technique":[37],"based":[38,111],"on":[39,112],"estimated":[42],"gradient":[43,59],"field":[44],"method,":[49],"which":[50],"incorporate":[51],"local":[53],"non-local":[55],"information.":[57],"The":[58],"of":[60],"interpolated":[61],"high-resolution(HR)":[62],"is":[64],"then":[65],"regarded":[66],"as":[67],"an":[68],"constraint":[71],"reconstruct":[73,85],"Experimental":[77],"results":[78],"demonstrate":[79],"that":[80],"new":[82],"approach":[83],"can":[84],"faithfully":[86],"HR":[88],"images":[89],"with":[90],"texture":[94],"structures,":[95],"annoying":[97],"artifacts":[98],"(blurring,":[99],"jaggies,":[100],"ringing,":[101],"etc.)":[102],"greatly":[104],"suppressed.":[105],"It":[106],"outperforms":[107],"state-of-the-art":[109],"approaches,":[110],"subjective":[113],"objective":[115],"evaluations.":[116]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}