{"id":"https://openalex.org/W2007794833","doi":"https://doi.org/10.1109/vcip.2014.7051582","title":"Learning adaptive filter banks for hierarchical image representation","display_name":"Learning adaptive filter banks for hierarchical image representation","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W2007794833","doi":"https://doi.org/10.1109/vcip.2014.7051582","mag":"2007794833"},"language":"en","primary_location":{"id":"doi:10.1109/vcip.2014.7051582","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2014.7051582","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Visual Communications and Image Processing Conference","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/A5010116530","display_name":"Ping Yang","orcid":"https://orcid.org/0000-0002-7091-2289"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ping Yang","raw_affiliation_strings":["College of Metropolitan Transportation, Beijing University of Technology, Beijing, China","University Beijing Municipal Key Lab of Multimedia and Intelligent Software Technology College of Metropolitan Transportation, Beijing University of Technology, Beijing 100124, China"],"affiliations":[{"raw_affiliation_string":"College of Metropolitan Transportation, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"University Beijing Municipal Key Lab of Multimedia and Intelligent Software Technology College of Metropolitan Transportation, Beijing University of Technology, Beijing 100124, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100347721","display_name":"Yunhui Shi","orcid":"https://orcid.org/0000-0002-8480-0536"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunhui Shi","raw_affiliation_strings":["College of Metropolitan Transportation, Beijing University of Technology, Beijing, China","University Beijing Municipal Key Lab of Multimedia and Intelligent Software Technology College of Metropolitan Transportation, Beijing University of Technology, Beijing 100124, China"],"affiliations":[{"raw_affiliation_string":"College of Metropolitan Transportation, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"University Beijing Municipal Key Lab of Multimedia and Intelligent Software Technology College of Metropolitan Transportation, Beijing University of Technology, Beijing 100124, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006710424","display_name":"Wenpeng Ding","orcid":"https://orcid.org/0009-0005-9136-5834"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenpeng Ding","raw_affiliation_strings":["College of Metropolitan Transportation, Beijing University of Technology, Beijing, China","University Beijing Municipal Key Lab of Multimedia and Intelligent Software Technology College of Metropolitan Transportation, Beijing University of Technology, Beijing 100124, China"],"affiliations":[{"raw_affiliation_string":"College of Metropolitan Transportation, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"University Beijing Municipal Key Lab of Multimedia and Intelligent Software Technology College of Metropolitan Transportation, Beijing University of Technology, Beijing 100124, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100656317","display_name":"Xiaoyan Sun","orcid":"https://orcid.org/0000-0003-3638-5566"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]},{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Xiaoyan Sun","raw_affiliation_strings":["Internet Media Group, Microsoft Research Asia, Beijing, China","Internet Media Group, Microsoft Research Asia Microsoft Research Asia, Building 2, No. 5 Danling Street, Haidian District, Beijing, 100080, China"],"affiliations":[{"raw_affiliation_string":"Internet Media Group, Microsoft Research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]},{"raw_affiliation_string":"Internet Media Group, Microsoft Research Asia Microsoft Research Asia, Building 2, No. 5 Danling Street, Haidian District, Beijing, 100080, China","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020527092","display_name":"Baocai Yin","orcid":"https://orcid.org/0000-0003-3121-1823"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baocai Yin","raw_affiliation_strings":["College of Metropolitan Transportation, Beijing University of Technology, Beijing, China","University Beijing Municipal Key Lab of Multimedia and Intelligent Software Technology College of Metropolitan Transportation, Beijing University of Technology, Beijing 100124, China"],"affiliations":[{"raw_affiliation_string":"College of Metropolitan Transportation, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"University Beijing Municipal Key Lab of Multimedia and Intelligent Software Technology College of Metropolitan Transportation, Beijing University of Technology, Beijing 100124, China","institution_ids":["https://openalex.org/I37796252"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5010116530"],"corresponding_institution_ids":["https://openalex.org/I37796252"],"apc_list":null,"apc_paid":null,"fwci":0.4877,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.68033045,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"11","issue":null,"first_page":"366","last_page":"369"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998000264167786,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998000264167786,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9995999932289124,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9973999857902527,"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/representation","display_name":"Representation (politics)","score":0.7357504963874817},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.7088087201118469},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7062017321586609},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.6844520568847656},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6565630435943604},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6475951671600342},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.6298041343688965},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6149489879608154},{"id":"https://openalex.org/keywords/filter-bank","display_name":"Filter bank","score":0.6031831502914429},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.5393775105476379},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.5106750130653381},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4433532953262329},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.443277508020401},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.27049413323402405},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22878840565681458}],"concepts":[{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.7357504963874817},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.7088087201118469},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7062017321586609},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.6844520568847656},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6565630435943604},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6475951671600342},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.6298041343688965},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6149489879608154},{"id":"https://openalex.org/C100515483","wikidata":"https://www.wikidata.org/wiki/Q3268235","display_name":"Filter bank","level":3,"score":0.6031831502914429},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.5393775105476379},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.5106750130653381},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4433532953262329},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.443277508020401},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.27049413323402405},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22878840565681458},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip.2014.7051582","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2014.7051582","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Visual Communications and Image Processing Conference","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":13,"referenced_works":["https://openalex.org/W1603508051","https://openalex.org/W1971014294","https://openalex.org/W2048878808","https://openalex.org/W2117259536","https://openalex.org/W2130325614","https://openalex.org/W2136655611","https://openalex.org/W2141200610","https://openalex.org/W2160547390","https://openalex.org/W2169488311","https://openalex.org/W2293078015","https://openalex.org/W4297731550","https://openalex.org/W6679997575","https://openalex.org/W6685048874"],"related_works":["https://openalex.org/W2382174632","https://openalex.org/W2129959498","https://openalex.org/W2021595906","https://openalex.org/W2784060934","https://openalex.org/W2902714807","https://openalex.org/W2537489131","https://openalex.org/W2046633342","https://openalex.org/W2394084632","https://openalex.org/W2077021924","https://openalex.org/W1141889541"],"abstract_inverted_index":{"Conventional":[0],"hierarchical":[1,33],"image":[2,35,56],"representation":[3,36],"methods,":[4],"e.g.":[5],"Wavelet":[6],"transform,":[7],"use":[8],"pre-determined":[9],"filter":[10,30],"banks":[11,31],"which":[12],"lack":[13],"in":[14,55,71],"adaption":[15],"to":[16],"the":[17,62,80],"variant":[18],"statistical":[19],"characteristics":[20],"of":[21,73],"images.":[22],"In":[23],"this":[24],"paper,":[25],"we":[26],"propose":[27],"learning":[28],"adaptive":[29],"for":[32],"sparse":[34],"with":[37],"a":[38,43],"wavelet-like":[39],"compact":[40],"form":[41],"using":[42],"deconvolutional":[44],"network.":[45],"The":[46],"proposed":[47,63],"scheme":[48,64],"is":[49],"verified":[50],"by":[51],"evaluating":[52],"its":[53],"sparsity":[54],"representation.":[57],"Experimental":[58],"results":[59],"demonstrate":[60],"that":[61],"outperforms":[65],"9/7":[66],"and":[67,76],"5/3":[68],"wavelets":[69],"transform":[70],"terms":[72],"both":[74],"objective":[75],"subjective":[77],"qualities":[78],"under":[79],"same":[81],"sparsity.":[82]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}