{"id":"https://openalex.org/W2295434645","doi":"https://doi.org/10.1109/ispacs.2015.7432763","title":"A fast atom selection method based on the order of initial inner product values for image denoising using sparse representation","display_name":"A fast atom selection method based on the order of initial inner product values for image denoising using sparse representation","publication_year":2015,"publication_date":"2015-11-01","ids":{"openalex":"https://openalex.org/W2295434645","doi":"https://doi.org/10.1109/ispacs.2015.7432763","mag":"2295434645"},"language":"en","primary_location":{"id":"doi:10.1109/ispacs.2015.7432763","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispacs.2015.7432763","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","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/A5075381356","display_name":"Kousuke Imamura","orcid":"https://orcid.org/0000-0001-9265-7074"},"institutions":[{"id":"https://openalex.org/I10091056","display_name":"Kanazawa University","ror":"https://ror.org/02hwp6a56","country_code":"JP","type":"education","lineage":["https://openalex.org/I10091056"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Kousuke Imamura","raw_affiliation_strings":["Institute of Science and Engineering, Kanazawa University, Kanazawa, Japan"],"affiliations":[{"raw_affiliation_string":"Institute of Science and Engineering, Kanazawa University, Kanazawa, Japan","institution_ids":["https://openalex.org/I10091056"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110226373","display_name":"Kaoru Itoh","orcid":null},"institutions":[{"id":"https://openalex.org/I10091056","display_name":"Kanazawa University","ror":"https://ror.org/02hwp6a56","country_code":"JP","type":"education","lineage":["https://openalex.org/I10091056"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kaoru Itoh","raw_affiliation_strings":["College of Science and Engineering, Kanazawa University, Kanazawa, Japan"],"affiliations":[{"raw_affiliation_string":"College of Science and Engineering, Kanazawa University, Kanazawa, Japan","institution_ids":["https://openalex.org/I10091056"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101675855","display_name":"Yoshio Matsuda","orcid":"https://orcid.org/0000-0003-0114-0219"},"institutions":[{"id":"https://openalex.org/I10091056","display_name":"Kanazawa University","ror":"https://ror.org/02hwp6a56","country_code":"JP","type":"education","lineage":["https://openalex.org/I10091056"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoshio Matsuda","raw_affiliation_strings":["Institute of Science and Engineering, Kanazawa University, Kanazawa, Japan"],"affiliations":[{"raw_affiliation_string":"Institute of Science and Engineering, Kanazawa University, Kanazawa, Japan","institution_ids":["https://openalex.org/I10091056"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5075381356"],"corresponding_institution_ids":["https://openalex.org/I10091056"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15835315,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"188","last_page":"193"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998999834060669,"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/T10688","display_name":"Image and Signal Denoising Methods","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/T11105","display_name":"Advanced Image Processing Techniques","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":0.9991999864578247,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.872909665107727},{"id":"https://openalex.org/keywords/k-svd","display_name":"K-SVD","score":0.6490139961242676},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6057764887809753},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5338063836097717},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5122138857841492},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5119291543960571},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4802682399749756},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.46428290009498596},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.45595717430114746},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.44639456272125244},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4386870265007019},{"id":"https://openalex.org/keywords/matching-pursuit","display_name":"Matching pursuit","score":0.4226151704788208},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3810648024082184},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36096805334091187},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.18401411175727844}],"concepts":[{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.872909665107727},{"id":"https://openalex.org/C154771677","wikidata":"https://www.wikidata.org/wiki/Q17098361","display_name":"K-SVD","level":3,"score":0.6490139961242676},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6057764887809753},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5338063836097717},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5122138857841492},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5119291543960571},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4802682399749756},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.46428290009498596},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.45595717430114746},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.44639456272125244},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4386870265007019},{"id":"https://openalex.org/C156872377","wikidata":"https://www.wikidata.org/wiki/Q6786281","display_name":"Matching pursuit","level":3,"score":0.4226151704788208},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3810648024082184},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36096805334091187},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.18401411175727844},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ispacs.2015.7432763","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispacs.2015.7432763","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1992852844","https://openalex.org/W2067098972","https://openalex.org/W2088254198","https://openalex.org/W2097074225","https://openalex.org/W2099732180","https://openalex.org/W2107970510","https://openalex.org/W2114122776","https://openalex.org/W2115549875","https://openalex.org/W2121058967","https://openalex.org/W2153663612","https://openalex.org/W2168837132","https://openalex.org/W6676218986","https://openalex.org/W6677446445","https://openalex.org/W6684812313"],"related_works":["https://openalex.org/W2011611369","https://openalex.org/W4245251483","https://openalex.org/W4254934694","https://openalex.org/W2160547390","https://openalex.org/W2113038107","https://openalex.org/W2965458591","https://openalex.org/W1992008660","https://openalex.org/W2944524174","https://openalex.org/W2042974711","https://openalex.org/W2994662386"],"abstract_inverted_index":{"In":[0,61],"sparse":[1,26,47,72],"representation,":[2],"each":[3],"patch":[4,86],"of":[5,14,52,78,102,113],"an":[6,20,84,91],"image":[7,85,120],"is":[8],"represented":[9],"as":[10],"a":[11,15,38,66],"linear":[12],"combination":[13],"few":[16],"atoms,":[17],"chosen":[18],"from":[19,37],"overcomplete":[21,92],"basis":[22,93],"dictionary.":[23,94],"The":[24,95],"standard":[25],"representation":[27,73],"requires":[28],"much":[29],"computation":[30],"for":[31,41,71],"inner":[32,80,104],"products":[33],"to":[34,45,106,116,125],"select":[35],"atoms":[36,89],"dictionary":[39],"and":[40,87,110],"pseudoinverse":[42],"matrix":[43],"calculation":[44],"determine":[46],"coefficients.":[48],"Considering":[49],"future":[50],"popularization":[51],"high-resolution":[53],"images,":[54],"this":[55,62],"computational":[56],"complexity":[57],"must":[58],"be":[59],"reduced.":[60],"paper,":[63],"we":[64],"propose":[65],"fast":[67],"atom":[68],"selection":[69],"method":[70,97],"based":[74],"on":[75],"the":[76,79,88,100,103,111,126],"order":[77],"product":[81,105],"values":[82],"between":[83],"in":[90],"proposed":[96],"reduces":[98],"both":[99],"number":[101,112],"less":[107],"than":[108],"50.0%":[109],"coefficient":[114],"optimization":[115],"37.7%":[117],"without":[118],"subjective":[119],"quality":[121],"degradation":[122],"when":[123],"compared":[124],"OMP":[127],"method.":[128]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
