{"id":"https://openalex.org/W40663365","doi":null,"title":"Image Compression using a Direct Solution Method Based Neural Network","display_name":"Image Compression using a Direct Solution Method Based Neural Network","publication_year":1997,"publication_date":"1997-01-01","ids":{"openalex":"https://openalex.org/W40663365","mag":"40663365"},"language":"en","primary_location":{"id":"pmh:oai:research-repository.griffith.edu.au:10072/14927","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/10072/14927","pdf_url":"http://hdl.handle.net/10072/14927","source":{"id":"https://openalex.org/S7407064376","display_name":"Griffith Research Online","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":null,"raw_type":"Conference output"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/10072/14927","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5105367286","display_name":"Siddhivinayak Kulkarni","orcid":"https://orcid.org/0000-0003-2212-295X","observed_orcids":["https://orcid.org/0000-0003-2212-295X"]},"institutions":[{"id":"https://openalex.org/I11701301","display_name":"Griffith University","ror":"https://ror.org/02sc3r913","country_code":"AU","type":"education","lineage":["https://openalex.org/I11701301"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Siddhivinayak Kulkarni","raw_affiliation_strings":["Griffith University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Griffith University","institution_ids":["https://openalex.org/I11701301"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026528338","display_name":"Brijesh Verma","orcid":"https://orcid.org/0000-0002-4618-0479","observed_orcids":["https://orcid.org/0000-0002-4618-0479"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Brijesh Verma","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-4618-0479","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5045600512","display_name":"Michael Blumenstein","orcid":"https://orcid.org/0000-0002-9908-3744","observed_orcids":["https://orcid.org/0000-0002-9908-3744"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Michael Blumenstein","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-9908-3744","affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.00165289,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":95},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9994999766349792,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9994999766349792,"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/T10320","display_name":"Neural Networks and Applications","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":9.999999747378752e-05,"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/image-compression","display_name":"image compression","score":1.0},{"id":"https://openalex.org/keywords/neural-network-training","display_name":"neural network training","score":0.7590000033378601},{"id":"https://openalex.org/keywords/backpropagation","display_name":"backpropagation","score":0.9290000200271606},{"id":"https://openalex.org/keywords/image-windowing","display_name":"image windowing","score":0.7350000143051147},{"id":"https://openalex.org/keywords/redundancy-elimination","display_name":"redundancy elimination","score":0.75},{"id":"https://openalex.org/keywords/image-reconstruction","display_name":"image reconstruction","score":0.9750000238418579},{"id":"https://openalex.org/keywords/compression-ratio","display_name":"compression ratio","score":0.734000027179718}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7761547565460205},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6831666827201843},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.6736428141593933},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.6568549871444702},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5841995477676392},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5736133456230164},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5246748328208923},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.5246204137802124},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.49393898248672485},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.468179851770401},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40679317712783813},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40208324790000916},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3782040476799011},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08620867133140564},{"id":"https://openalex.org/C511840579","wikidata":"https://www.wikidata.org/wiki/Q12757","display_name":"Internal combustion engine","level":2,"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/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","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}],"mesh":[],"locations_count":4,"locations":[{"id":"pmh:oai:research-repository.griffith.edu.au:10072/14927","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/10072/14927","pdf_url":"http://hdl.handle.net/10072/14927","source":{"id":"https://openalex.org/S7407064376","display_name":"Griffith Research Online","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":null,"raw_type":"Conference output"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.44.154","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.44.154","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.int.gu.edu.au/~mblum/publications/AI_97.ps","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.485.1104","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.485.1104","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www98.griffith.edu.au/dspace/bitstream/handle/10072/14927/7039.pdf;jsessionid=A0363C8D28B01E3F84163E9235101E59?sequence=1","raw_type":"text"},{"id":"mag:40663365","doi":null,"is_oa":false,"landing_page_url":"http://www98.griffith.edu.au/dspace/bitstream/handle/10072/14927/7039.pdf;sequence=1","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:research-repository.griffith.edu.au:10072/14927","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/10072/14927","pdf_url":"http://hdl.handle.net/10072/14927","source":{"id":"https://openalex.org/S7407064376","display_name":"Griffith Research Online","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":null,"raw_type":"Conference output"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W40663365.pdf","grobid_xml":"https://content.openalex.org/works/W40663365.grobid-xml"},"referenced_works_count":8,"referenced_works":["https://openalex.org/W1484356373","https://openalex.org/W2025057635","https://openalex.org/W2042481239","https://openalex.org/W2067550893","https://openalex.org/W2079397640","https://openalex.org/W2086695841","https://openalex.org/W2086851224","https://openalex.org/W2104030629"],"related_works":["https://openalex.org/W2289076548","https://openalex.org/W105420000","https://openalex.org/W4405139960","https://openalex.org/W2230159025","https://openalex.org/W7098694581","https://openalex.org/W6893155873","https://openalex.org/W2083150454","https://openalex.org/W2541991926","https://openalex.org/W2404306640","https://openalex.org/W2001027782"],"abstract_inverted_index":{":":[0],"In":[1],"this":[2,101],"paper,":[3],"we":[4],"present":[5],"a":[6,38,43],"direct":[7,45],"solution":[8,46],"method":[9],"based":[10],"neural":[11,39,58],"network":[12,40],"for":[13,134],"image":[14],"compression.":[15],"The":[16,66,84,118],"proposed":[17,67],"technique":[18,36,68],"includes":[19],"steps":[20],"to":[21,30,55],"break":[22],"down":[23],"large":[24],"images":[25,97,121],"into":[26],"smaller":[27],"windows":[28],"and":[29,60,91],"eliminate":[31],"redundant":[32],"information.":[33],"Furthermore,":[34],"the":[35,57,75,95,136],"employs":[37],"trained":[41],"by":[42],"non-iterative,":[44],"method.":[47],"An":[48],"error":[49],"backpropagation":[50],"algorithm":[51],"is":[52,125],"also":[53],"used":[54],"train":[56],"network,":[59],"both":[61],"training":[62],"algorithms":[63],"are":[64,98],"compared.":[65],"has":[69],"been":[70,82],"implemented":[71],"in":[72,100,140,143],"C":[73],"on":[74],"SP2.":[76],"A":[77],"number":[78,137],"of":[79,94,120,138],"experiments":[80],"have":[81],"conducted.":[83],"results":[85],"obtained,":[86],"such":[87],"as":[88],"compression":[89,130],"ratio":[90],"transfer":[92],"time":[93],"compressed":[96],"presented":[99],"paper.":[102],"Keywords:":[103],"Neural":[104],"Networks,":[105],"Image":[106,108,110,129],"Compression,":[107],"Processing,":[109],"Reconstruction,":[111],"Direct":[112],"Solution":[113],"Training":[114],"Method.":[115],"1.":[116],"Introduction":[117],"transport":[119],"across":[122],"communication":[123],"paths":[124],"an":[126,132],"expensive":[127],"process.":[128],"provides":[131],"option":[133],"reducing":[135],"bits":[139],"transmission.":[141],"This":[142],"turn":[144],"helps":[145],"increase":[146],"t...":[147]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-09-02T18:50:13.731487","created_date":"2016-06-24T00:00:00"}