{"id":"https://openalex.org/W4403298251","doi":"https://doi.org/10.3390/sym16101342","title":"MRACNN: Multi-Path Residual Asymmetric Convolution and Enhanced Local Attention Mechanism for Industrial Image Compression","display_name":"MRACNN: Multi-Path Residual Asymmetric Convolution and Enhanced Local Attention Mechanism for Industrial Image Compression","publication_year":2024,"publication_date":"2024-10-10","ids":{"openalex":"https://openalex.org/W4403298251","doi":"https://doi.org/10.3390/sym16101342"},"language":"en","primary_location":{"id":"doi:10.3390/sym16101342","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym16101342","pdf_url":"https://www.mdpi.com/2073-8994/16/10/1342/pdf?version=1728565298","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2073-8994/16/10/1342/pdf?version=1728565298","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5113325374","display_name":"Zikang Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zikang Yan","raw_affiliation_strings":["Faculty of Information Science and Engineering, Ocean University of China, Qingdao 266100, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Science and Engineering, Ocean University of China, Qingdao 266100, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064641785","display_name":"Peishun Liu","orcid":"https://orcid.org/0000-0002-7746-8061"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Peishun Liu","raw_affiliation_strings":["Faculty of Information Science and Engineering, Ocean University of China, Qingdao 266100, China"],"raw_orcid":"https://orcid.org/0000-0002-7746-8061","affiliations":[{"raw_affiliation_string":"Faculty of Information Science and Engineering, Ocean University of China, Qingdao 266100, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074231575","display_name":"Xuefang Wang","orcid":"https://orcid.org/0000-0001-8104-4408"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuefang Wang","raw_affiliation_strings":["School of Mathematical Sciences, Ocean University of China, Qingdao 266100, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, Ocean University of China, Qingdao 266100, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090793741","display_name":"Haojie Gao","orcid":"https://orcid.org/0000-0003-3435-2904"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haojie Gao","raw_affiliation_strings":["Faculty of Information Science and Engineering, Ocean University of China, Qingdao 266100, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Science and Engineering, Ocean University of China, Qingdao 266100, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016070401","display_name":"Xiaolong Ma","orcid":"https://orcid.org/0000-0003-3753-7648"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolong Ma","raw_affiliation_strings":["Faculty of Information Science and Engineering, Ocean University of China, Qingdao 266100, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Science and Engineering, Ocean University of China, Qingdao 266100, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101349278","display_name":"Xintong Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xintong Hu","raw_affiliation_strings":["Faculty of Information Science and Engineering, Ocean University of China, Qingdao 266100, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Science and Engineering, Ocean University of China, Qingdao 266100, China","institution_ids":["https://openalex.org/I59028903"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5064641785"],"corresponding_institution_ids":["https://openalex.org/I59028903"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16332777,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"16","issue":"10","first_page":"1342","last_page":"1342"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","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/T11105","display_name":"Advanced Image Processing Techniques","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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9993000030517578,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9991999864578247,"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":0.7851895689964294},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.700037956237793},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5880694389343262},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.48062652349472046},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4713834226131439},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.459159255027771},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.45170629024505615},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.44436579942703247},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4426339268684387},{"id":"https://openalex.org/keywords/data-compression-ratio","display_name":"Data compression ratio","score":0.425259530544281},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41104209423065186},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.345176637172699},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3275832235813141},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.20672568678855896},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.18479564785957336},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1641310155391693}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7851895689964294},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.700037956237793},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5880694389343262},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.48062652349472046},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4713834226131439},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.459159255027771},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.45170629024505615},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.44436579942703247},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4426339268684387},{"id":"https://openalex.org/C94835093","wikidata":"https://www.wikidata.org/wiki/Q3113333","display_name":"Data compression ratio","level":5,"score":0.425259530544281},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41104209423065186},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.345176637172699},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3275832235813141},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20672568678855896},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.18479564785957336},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1641310155391693},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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":2,"locations":[{"id":"doi:10.3390/sym16101342","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym16101342","pdf_url":"https://www.mdpi.com/2073-8994/16/10/1342/pdf?version=1728565298","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:5c5f10a292bf4be7ae4a479a2cd8b2f0","is_oa":false,"landing_page_url":"https://doaj.org/article/5c5f10a292bf4be7ae4a479a2cd8b2f0","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symmetry, Vol 16, Iss 10, p 1342 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/sym16101342","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym16101342","pdf_url":"https://www.mdpi.com/2073-8994/16/10/1342/pdf?version=1728565298","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.6000000238418579,"display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G2392469102","display_name":null,"funder_award_id":"2022YFB3305300","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4403298251.pdf","grobid_xml":"https://content.openalex.org/works/W4403298251.grobid-xml"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W1580389772","https://openalex.org/W1998497852","https://openalex.org/W2040903332","https://openalex.org/W2133665775","https://openalex.org/W2142683286","https://openalex.org/W2146395539","https://openalex.org/W2183341477","https://openalex.org/W2597747080","https://openalex.org/W2604392022","https://openalex.org/W2795709826","https://openalex.org/W2892278106","https://openalex.org/W2955058313","https://openalex.org/W2962891349","https://openalex.org/W2963091558","https://openalex.org/W2964309882","https://openalex.org/W2971014764","https://openalex.org/W2978725006","https://openalex.org/W2999972254","https://openalex.org/W3001966324","https://openalex.org/W3034469748","https://openalex.org/W3035638508","https://openalex.org/W3091266734","https://openalex.org/W3138516171","https://openalex.org/W3158187990","https://openalex.org/W3206996732","https://openalex.org/W4223425316","https://openalex.org/W4283320592","https://openalex.org/W4292256660","https://openalex.org/W4302366751","https://openalex.org/W4312806968","https://openalex.org/W4361760036","https://openalex.org/W4386075611","https://openalex.org/W4392309256","https://openalex.org/W6648982606","https://openalex.org/W6751903863"],"related_works":["https://openalex.org/W3206274587","https://openalex.org/W2521595930","https://openalex.org/W3165542721","https://openalex.org/W4313046148","https://openalex.org/W1939109514","https://openalex.org/W4378191574","https://openalex.org/W2129829718","https://openalex.org/W1843792225","https://openalex.org/W4243608781","https://openalex.org/W2387043686"],"abstract_inverted_index":{"The":[0],"rich":[1],"information":[2,51,139],"and":[3,115,131,138,148,155,160,169,207],"complex":[4,42],"background":[5,44],"of":[6,20,45,58,145,157,188],"industrial":[7,46],"images":[8],"make":[9],"it":[10,36,62],"a":[11,77,88,163,170],"challenging":[12],"task":[13],"to":[14,38,52,64,111,128,184],"improve":[15],"the":[16,41,56,70,99,109,116,126,133,142,153,176,186,189,197],"high":[17],"compression":[18,25,159],"rate":[19],"images.":[21,47],"Current":[22],"learning-based":[23],"image":[24,146,158],"methods":[26],"mostly":[27],"use":[28],"customized":[29],"convolutional":[30],"neural":[31],"networks":[32],"(CNNs),":[33],"which":[34,97],"find":[35],"difficult":[37,63],"cope":[39],"with":[40],"production":[43],"This":[48,135],"causes":[49],"useful":[50],"be":[53],"lost":[54],"in":[55,108,125,209],"abundance":[57],"irrelevant":[59],"data,":[60],"making":[61],"accurately":[65],"extract":[66,112],"important":[67,149],"features":[68],"during":[69],"feature":[71,136],"extraction":[72],"stage.":[73],"To":[74],"address":[75],"this,":[76],"Multi-path":[78,89,100],"Residual":[79,90,101,118],"Asymmetric":[80,91,102,119],"Convolutional":[81],"Compression":[82],"Network":[83],"(MRACNN)":[84],"is":[85,95,182],"proposed.":[86],"Firstly,":[87],"Convolution":[92,103,120],"Block":[93],"(MRACB)":[94],"introduced,":[96],"includes":[98],"Down-sampling":[104],"Module":[105,122],"for":[106,123],"down-sampling":[107],"encoder":[110],"key":[113],"features,":[114],"Mult-path":[117],"Up-sampling":[121],"up-sampling":[124],"decoder":[127],"recover":[129],"details":[130,147],"reconstruct":[132],"image.":[134],"transfer":[137],"flow":[140],"enables":[141],"better":[143],"capture":[144],"information,":[150],"thereby":[151],"improving":[152],"quality":[154],"efficiency":[156],"decompression.":[161],"Furthermore,":[162],"two-branch":[164],"enhanced":[165,178],"local":[166,179,211],"attention":[167,180],"mechanisms,":[168],"channel-squeezing":[171],"entropy":[172],"model":[173],"based":[174],"on":[175],"compression-based":[177],"module":[181],"proposed":[183,198],"enhance":[185],"performance":[187],"modeled":[190],"compression.":[191],"Extensive":[192],"experimental":[193],"evaluations":[194],"demonstrate":[195],"that":[196],"method":[199],"outperforms":[200],"state-of-the-art":[201],"techniques,":[202],"achieves":[203],"superior":[204],"Rate\u2013Distortion":[205],"Performance,":[206],"excels":[208],"preserving":[210],"details.":[212]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}