{"id":"https://openalex.org/W3081838203","doi":"https://doi.org/10.1109/icaci49185.2020.9177627","title":"Image Block Compression Based on Dual-Learning Dictionaries","display_name":"Image Block Compression Based on Dual-Learning Dictionaries","publication_year":2020,"publication_date":"2020-08-01","ids":{"openalex":"https://openalex.org/W3081838203","doi":"https://doi.org/10.1109/icaci49185.2020.9177627","mag":"3081838203"},"language":"en","primary_location":{"id":"doi:10.1109/icaci49185.2020.9177627","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaci49185.2020.9177627","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 12th International Conference on Advanced Computational Intelligence (ICACI)","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/A5102292930","display_name":"Wenchao Pan","orcid":null},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Pan Wenchao","raw_affiliation_strings":["International School, Wuhan University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"International School, Wuhan University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I43922553"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103923269","display_name":"Li Bo","orcid":null},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Bo","raw_affiliation_strings":["School of Computer Science & Technology, Wuhan University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science & Technology, Wuhan University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I43922553"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036258937","display_name":"Yanwen Chong","orcid":"https://orcid.org/0000-0002-7944-8515"},"institutions":[{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]},{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chong Yanwen","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102292930"],"corresponding_institution_ids":["https://openalex.org/I43922553"],"apc_list":null,"apc_paid":null,"fwci":0.0977,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.39690462,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"41","issue":null,"first_page":"79","last_page":"85"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9994999766349792,"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"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9991000294685364,"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/computer-science","display_name":"Computer science","score":0.7130178809165955},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.6241089701652527},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.6125237941741943},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.5958632230758667},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5884189605712891},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5396513938903809},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5248618125915527},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5150506496429443},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45803216099739075},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4207053482532501},{"id":"https://openalex.org/keywords/texture-compression","display_name":"Texture compression","score":0.4173485040664673},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.28064873814582825},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1716838777065277}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7130178809165955},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.6241089701652527},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.6125237941741943},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.5958632230758667},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5884189605712891},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5396513938903809},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5248618125915527},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5150506496429443},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45803216099739075},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4207053482532501},{"id":"https://openalex.org/C54243161","wikidata":"https://www.wikidata.org/wiki/Q39333","display_name":"Texture compression","level":5,"score":0.4173485040664673},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.28064873814582825},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1716838777065277},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icaci49185.2020.9177627","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaci49185.2020.9177627","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 12th International Conference on Advanced Computational Intelligence (ICACI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7699999809265137,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W67201968","https://openalex.org/W1502593327","https://openalex.org/W1578640311","https://openalex.org/W1970025608","https://openalex.org/W1973839740","https://openalex.org/W1980912826","https://openalex.org/W1983171048","https://openalex.org/W1994281301","https://openalex.org/W2009741049","https://openalex.org/W2025948329","https://openalex.org/W2030972733","https://openalex.org/W2036092416","https://openalex.org/W2045328647","https://openalex.org/W2046779692","https://openalex.org/W2059619892","https://openalex.org/W2079354271","https://openalex.org/W2081411525","https://openalex.org/W2105240317","https://openalex.org/W2107844156","https://openalex.org/W2113606819","https://openalex.org/W2115429828","https://openalex.org/W2115549875","https://openalex.org/W2150912629","https://openalex.org/W2152171106","https://openalex.org/W2158874661","https://openalex.org/W2160547390","https://openalex.org/W2163398148","https://openalex.org/W2171783193","https://openalex.org/W2172631639","https://openalex.org/W2191962456","https://openalex.org/W2321892073","https://openalex.org/W2356836027","https://openalex.org/W2357058011","https://openalex.org/W2378276622","https://openalex.org/W3099751318","https://openalex.org/W3100455090","https://openalex.org/W6629927927","https://openalex.org/W6668902313","https://openalex.org/W6676903177"],"related_works":["https://openalex.org/W2129829718","https://openalex.org/W2595043295","https://openalex.org/W2751842002","https://openalex.org/W3165542721","https://openalex.org/W4313046148","https://openalex.org/W4243608781","https://openalex.org/W142455045","https://openalex.org/W2096442341","https://openalex.org/W2387043686","https://openalex.org/W3180760233"],"abstract_inverted_index":{"To":[0],"improve":[1],"the":[2,30,45,54,66,69,78],"nonlinear":[3],"reconstruction":[4,13],"performance":[5],"of":[6,47,68],"sparse":[7],"representation":[8],"in":[9,85],"image":[10,17,86],"compression":[11,18,55],"and":[12,24,33,44,60,65],"process,":[14],"a":[15],"new":[16],"algorithm":[19,37,46],"based":[20,57],"on":[21,58],"dual":[22,31],"synthesis":[23,32,59],"analysis":[25,34,43,61],"dictionaries":[26,35,62],"is":[27,38,63,71],"proposed.":[28],"Firstly,":[29],"learning":[36,49],"analyzed,":[39],"including":[40],"penalty":[41],"function":[42],"dictionary":[48],"with":[50],"gradient":[51],"decent.":[52],"Then,":[53],"model":[56,70],"introduced":[64],"properties":[67],"also":[72],"analyzed.":[73],"Experimental":[74],"results":[75],"demonstrate":[76],"that":[77],"proposed":[79],"method":[80],"outperforms":[81],"many":[82],"other":[83],"algorithms":[84],"compression.":[87]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
