{"id":"https://openalex.org/W2295360745","doi":"https://doi.org/10.1109/icip.2015.7351148","title":"Regularized single-image super-resolution based on progressive gradient estimation","display_name":"Regularized single-image super-resolution based on progressive gradient estimation","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W2295360745","doi":"https://doi.org/10.1109/icip.2015.7351148","mag":"2295360745"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2015.7351148","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7351148","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 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/A5101142834","display_name":"Lejun Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lejun Yu","raw_affiliation_strings":["College of Information Science and Technology, Beijing Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101403475","display_name":"Xiaoyu Wu","orcid":"https://orcid.org/0000-0001-8381-3338"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyu Wu","raw_affiliation_strings":["College of Information Science and Technology, Beijing Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109947746","display_name":"Feng\u2010Xiang Ge","orcid":null},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengxiang Ge","raw_affiliation_strings":["College of Information Science and Technology, Beijing Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102018225","display_name":"Bo Sun","orcid":"https://orcid.org/0000-0003-1168-1051"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Sun","raw_affiliation_strings":["College of Information Science and Technology, Beijing Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100766736","display_name":"Jun He","orcid":"https://orcid.org/0000-0002-3017-2108"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun He","raw_affiliation_strings":["College of Information Science and Technology, Beijing Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019162549","display_name":"Robert Sablatnig","orcid":"https://orcid.org/0000-0003-4195-1593"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Robert Sablatnig","raw_affiliation_strings":["Computer Vision Lab, Vienna University of Technology, Vienna, Austria"],"affiliations":[{"raw_affiliation_string":"Computer Vision Lab, Vienna University of Technology, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101142834"],"corresponding_institution_ids":["https://openalex.org/I25254941"],"apc_list":null,"apc_paid":null,"fwci":0.1841,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.61269304,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"1985","last_page":"1989"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing 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/T11105","display_name":"Advanced Image Processing 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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9993000030517578,"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":0.9983999729156494,"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/regularization","display_name":"Regularization (linguistics)","score":0.7273039221763611},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5562515258789062},{"id":"https://openalex.org/keywords/morphological-gradient","display_name":"Morphological gradient","score":0.5466991662979126},{"id":"https://openalex.org/keywords/image-gradient","display_name":"Image gradient","score":0.5374166965484619},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.5349240303039551},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.50481778383255},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.48479121923446655},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4611317217350006},{"id":"https://openalex.org/keywords/gradient-method","display_name":"Gradient method","score":0.42572879791259766},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.41140806674957275},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4015837609767914},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3993375897407532},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3782888352870941},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34936341643333435},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3215278387069702},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.25181421637535095},{"id":"https://openalex.org/keywords/feature-detection","display_name":"Feature detection (computer vision)","score":0.14502406120300293}],"concepts":[{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.7273039221763611},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5562515258789062},{"id":"https://openalex.org/C96133863","wikidata":"https://www.wikidata.org/wiki/Q6913458","display_name":"Morphological gradient","level":5,"score":0.5466991662979126},{"id":"https://openalex.org/C182037307","wikidata":"https://www.wikidata.org/wiki/Q17039097","display_name":"Image gradient","level":5,"score":0.5374166965484619},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.5349240303039551},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.50481778383255},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.48479121923446655},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4611317217350006},{"id":"https://openalex.org/C115680565","wikidata":"https://www.wikidata.org/wiki/Q5977448","display_name":"Gradient method","level":2,"score":0.42572879791259766},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.41140806674957275},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4015837609767914},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3993375897407532},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3782888352870941},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34936341643333435},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3215278387069702},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.25181421637535095},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.14502406120300293}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2015.7351148","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7351148","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8899999856948853,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1966639659","https://openalex.org/W1985473175","https://openalex.org/W1995228944","https://openalex.org/W2017741784","https://openalex.org/W2103824707","https://openalex.org/W2111454493","https://openalex.org/W2114398647","https://openalex.org/W2121927366","https://openalex.org/W2129613727","https://openalex.org/W2131349449","https://openalex.org/W2133665775","https://openalex.org/W2163935418","https://openalex.org/W2556260280","https://openalex.org/W6646661846","https://openalex.org/W6675124754","https://openalex.org/W6676981982","https://openalex.org/W6683680428","https://openalex.org/W6730602757"],"related_works":["https://openalex.org/W2352200706","https://openalex.org/W2959508763","https://openalex.org/W1991896712","https://openalex.org/W2383665989","https://openalex.org/W2369107151","https://openalex.org/W2378258130","https://openalex.org/W4210660906","https://openalex.org/W2392840155","https://openalex.org/W2362181716","https://openalex.org/W2621367781"],"abstract_inverted_index":{"Gradient":[0],"domain":[1],"optimization":[2,49],"is":[3,18,33,50,65],"widely":[4],"used":[5],"in":[6,10,44,56],"regularized":[7],"image":[8,43,63,71,78],"super-resolution,":[9],"which":[11],"the":[12,22,37,40,45,53,57,61,69,86],"gradient":[13,30,38,55,64,72],"of":[14,39,48],"high":[15,75],"resolution":[16],"(HR)":[17],"estimated":[19,54,62,70],"for":[20],"calculating":[21],"regularization":[23],"energy.":[24],"In":[25,35],"this":[26],"paper,":[27],"a":[28,74],"progressive":[29],"estimation":[31],"(PGE)":[32],"proposed.":[34],"PGE,":[36],"reconstructed":[41,87],"HR":[42,77,88],"previous":[46],"round":[47],"taken":[51],"as":[52],"current":[58],"round.":[59],"Then,":[60],"progressively":[66],"improved.":[67],"When":[68],"converges,":[73],"quality":[76],"can":[79],"be":[80],"reconstructed.":[81],"Experimental":[82],"results":[83],"show":[84],"that":[85],"images":[89],"by":[90],"PGE":[91],"have":[92],"good":[93],"qualitative":[94],"and":[95],"quantitative":[96],"performances.":[97]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
