{"id":"https://openalex.org/W3116564871","doi":"https://doi.org/10.1109/vcip49819.2020.9301836","title":"Learning Redundant Sparsifying Transform based on Equi-Angular Frame","display_name":"Learning Redundant Sparsifying Transform based on Equi-Angular Frame","publication_year":2020,"publication_date":"2020-12-01","ids":{"openalex":"https://openalex.org/W3116564871","doi":"https://doi.org/10.1109/vcip49819.2020.9301836","mag":"3116564871"},"language":"en","primary_location":{"id":"doi:10.1109/vcip49819.2020.9301836","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip49819.2020.9301836","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Visual Communications and Image Processing (VCIP)","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/A5100402945","display_name":"Min Zhang","orcid":"https://orcid.org/0000-0002-7785-5475"},"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":"Min Zhang","raw_affiliation_strings":["Beijing Advanced Innovation Center for Future Internet Technology Beijing Key Laboratory of Multimedia and Intelligent Software Technology Faculty of Information Technology, Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Advanced Innovation Center for Future Internet Technology Beijing Key Laboratory of Multimedia and Intelligent Software Technology Faculty of Information Technology, Beijing University of Technology, Beijing, 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":["Beijing Advanced Innovation Center for Future Internet Technology Beijing Key Laboratory of Multimedia and Intelligent Software Technology Faculty of Information Technology, Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Advanced Innovation Center for Future Internet Technology Beijing Key Laboratory of Multimedia and Intelligent Software Technology Faculty of Information Technology, Beijing University of Technology, Beijing, 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/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyan Sun","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018686979","display_name":"Nam Ling","orcid":"https://orcid.org/0000-0002-5741-7937"},"institutions":[{"id":"https://openalex.org/I16269868","display_name":"Santa Clara University","ror":"https://ror.org/03ypqe447","country_code":"US","type":"education","lineage":["https://openalex.org/I16269868"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nam Ling","raw_affiliation_strings":["Santa Clara University, Santa Clara, California, U.S.A"],"affiliations":[{"raw_affiliation_string":"Santa Clara University, Santa Clara, California, U.S.A","institution_ids":["https://openalex.org/I16269868"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081279369","display_name":"Na Qi","orcid":"https://orcid.org/0000-0003-3778-7305"},"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":"Na Qi","raw_affiliation_strings":["Beijing Advanced Innovation Center for Future Internet Technology Beijing Key Laboratory of Multimedia and Intelligent Software Technology Faculty of Information Technology, Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Advanced Innovation Center for Future Internet Technology Beijing Key Laboratory of Multimedia and Intelligent Software Technology Faculty of Information Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100402945"],"corresponding_institution_ids":["https://openalex.org/I37796252"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15747463,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"47","issue":null,"first_page":"439","last_page":"442"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9988999962806702,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5934263467788696},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.5827681422233582},{"id":"https://openalex.org/keywords/mutual-coherence","display_name":"Mutual coherence","score":0.5410131216049194},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5296202301979065},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5017375946044922},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.45912277698516846},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.4426475763320923},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.43242523074150085},{"id":"https://openalex.org/keywords/coherence","display_name":"Coherence (philosophical gambling strategy)","score":0.4293104410171509},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.4134329855442047},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3880501389503479},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34251031279563904},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2621919512748718}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5934263467788696},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.5827681422233582},{"id":"https://openalex.org/C45900066","wikidata":"https://www.wikidata.org/wiki/Q6944191","display_name":"Mutual coherence","level":3,"score":0.5410131216049194},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5296202301979065},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5017375946044922},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.45912277698516846},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.4426475763320923},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.43242523074150085},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.4293104410171509},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.4134329855442047},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3880501389503479},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34251031279563904},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2621919512748718},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/vcip49819.2020.9301836","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip49819.2020.9301836","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.5199999809265137,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321572","display_name":"Beijing Municipal Commission of Education","ror":"https://ror.org/04bpn6s66"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W218143623","https://openalex.org/W1999829977","https://openalex.org/W2075157914","https://openalex.org/W2141039087","https://openalex.org/W2225145765","https://openalex.org/W2298605637","https://openalex.org/W2586212325","https://openalex.org/W2604973793","https://openalex.org/W2946094116","https://openalex.org/W3018603899","https://openalex.org/W3104923318","https://openalex.org/W3105699558","https://openalex.org/W4235713725"],"related_works":["https://openalex.org/W2890544631","https://openalex.org/W2067062989","https://openalex.org/W2998105788","https://openalex.org/W4205656132","https://openalex.org/W2111634407","https://openalex.org/W3004790527","https://openalex.org/W2203155458","https://openalex.org/W2783282829","https://openalex.org/W2126683262","https://openalex.org/W2068941797"],"abstract_inverted_index":{"Due":[0],"to":[1,18,72,148],"the":[2,19,64,74,77,85,91,108,117,149,151,156,162],"fact":[3],"that":[4,37,132],"sparse":[5,9,25],"coding":[6,26],"in":[7,84,140],"redundant":[8,56,109],"dictionary":[10],"learning":[11,55,107,157],"model":[12,165],"is":[13,27,88,104],"NP-hard,":[14],"interest":[15],"has":[16],"turned":[17],"non-redundant":[20,44,124],"sparsifying":[21,57,86,125,159],"transform":[22,58,87,160,164],"as":[23],"its":[24,67],"computationally":[28],"cheap.":[29],"However,":[30],"natural":[31],"images":[32],"typically":[33],"contain":[34],"diverse":[35,97],"textures":[36],"cannot":[38],"be":[39],"sparsified":[40],"well":[41],"by":[42,90],"a":[43,51],"system.":[45],"In":[46,99],"this":[47],"paper":[48],"we":[49],"propose":[50],"new":[52],"approach":[53],"for":[54,106,113],"based":[59,158],"on":[60],"equi-angular":[61,92],"frame,":[62],"where":[63],"frame":[65,69,154],"and":[66,76,144,161],"dual":[68],"are":[70],"corresponding":[71],"applying":[73],"forward":[75],"backward":[78],"transforms.":[79,126],"The":[80,127],"uniform":[81],"mutual":[82],"coherence":[83],"enforced":[89],"constraint,":[93],"which":[94],"better":[95],"sparsifies":[96],"textures.":[98],"addition,":[100],"an":[101],"efficient":[102],"algorithm":[103],"proposed":[105,121,134],"transform.":[110],"Experimental":[111],"results":[112,130],"image":[114,128],"representation":[115],"illustrate":[116],"superiority":[118],"of":[119,142],"our":[120,133],"method":[122,135],"over":[123],"denoising":[129,138],"show":[131],"achieves":[136],"superior":[137],"performance,":[139],"terms":[141],"subjective":[143],"objective":[145],"quality,":[146],"compared":[147],"K-SVD,":[150],"data-driven":[152],"tight":[153],"method,":[155],"overcomplete":[163],"with":[166],"block":[167],"cosparsity":[168],"(OCTOBOS).":[169]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
