{"id":"https://openalex.org/W2766986296","doi":"https://doi.org/10.1109/ssiai.2018.8470336","title":"Image Compression: Sparse Coding vs. Bottleneck Autoencoders","display_name":"Image Compression: Sparse Coding vs. Bottleneck Autoencoders","publication_year":2018,"publication_date":"2018-04-01","ids":{"openalex":"https://openalex.org/W2766986296","doi":"https://doi.org/10.1109/ssiai.2018.8470336","mag":"2766986296"},"language":"en","primary_location":{"id":"doi:10.1109/ssiai.2018.8470336","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssiai.2018.8470336","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1710.09926","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5067556276","display_name":"Yijing Watkins","orcid":"https://orcid.org/0000-0003-3094-2421"},"institutions":[{"id":"https://openalex.org/I1343871089","display_name":"Los Alamos National Laboratory","ror":"https://ror.org/01e41cf67","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I1343871089","https://openalex.org/I198811213","https://openalex.org/I4210120050"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yijing Watkins","raw_affiliation_strings":["Los Alamos National Laboratory"],"affiliations":[{"raw_affiliation_string":"Los Alamos National Laboratory","institution_ids":["https://openalex.org/I1343871089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074306704","display_name":"Oleksandr Iaroshenko","orcid":"https://orcid.org/0000-0001-5340-2220"},"institutions":[{"id":"https://openalex.org/I1343871089","display_name":"Los Alamos National Laboratory","ror":"https://ror.org/01e41cf67","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I1343871089","https://openalex.org/I198811213","https://openalex.org/I4210120050"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Oleksandr Iaroshenko","raw_affiliation_strings":["Los Alamos National Laboratory"],"affiliations":[{"raw_affiliation_string":"Los Alamos National Laboratory","institution_ids":["https://openalex.org/I1343871089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051311118","display_name":"Mohammad Sayeh","orcid":"https://orcid.org/0000-0003-2048-8448"},"institutions":[{"id":"https://openalex.org/I110378019","display_name":"Southern Illinois University Carbondale","ror":"https://ror.org/049kefs16","country_code":"US","type":"education","lineage":["https://openalex.org/I110378019","https://openalex.org/I2801502357"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohammad Sayeh","raw_affiliation_strings":["Southern Illinois University Carbondale"],"affiliations":[{"raw_affiliation_string":"Southern Illinois University Carbondale","institution_ids":["https://openalex.org/I110378019"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086534835","display_name":"Garrett T. Kenyon","orcid":"https://orcid.org/0000-0003-4836-3938"},"institutions":[{"id":"https://openalex.org/I1343871089","display_name":"Los Alamos National Laboratory","ror":"https://ror.org/01e41cf67","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I1343871089","https://openalex.org/I198811213","https://openalex.org/I4210120050"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Garrett Kenyon","raw_affiliation_strings":["Los Alamos National Laboratory"],"affiliations":[{"raw_affiliation_string":"Los Alamos National Laboratory","institution_ids":["https://openalex.org/I1343871089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5067556276"],"corresponding_institution_ids":["https://openalex.org/I1343871089"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0052128,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"17","last_page":"20"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","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/T11105","display_name":"Advanced Image Processing Techniques","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/T10688","display_name":"Image and Signal Denoising Methods","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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","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"}}],"keywords":[{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.8950651288032532},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7191477417945862},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7166213989257812},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.5970722436904907},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5851247310638428},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.5261639952659607},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5252627730369568},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5064898729324341},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.4543232023715973},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4293859004974365},{"id":"https://openalex.org/keywords/compression-ratio","display_name":"Compression ratio","score":0.41202154755592346},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3771066665649414},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19166123867034912},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.18562060594558716},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.057695239782333374},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.04974055290222168}],"concepts":[{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.8950651288032532},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7191477417945862},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7166213989257812},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.5970722436904907},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5851247310638428},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.5261639952659607},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5252627730369568},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5064898729324341},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.4543232023715973},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4293859004974365},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.41202154755592346},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3771066665649414},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19166123867034912},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.18562060594558716},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.057695239782333374},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.04974055290222168},{"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/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/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","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":5,"locations":[{"id":"doi:10.1109/ssiai.2018.8470336","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssiai.2018.8470336","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1710.09926","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1710.09926","pdf_url":"https://arxiv.org/pdf/1710.09926","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"pmh:oai:osti.gov:1485373","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/1485373","pdf_url":"https://www.osti.gov/servlets/purl/1485373","source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"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":null},{"id":"mag:2766986296","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1710.09926.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1710.09926","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1710.09926","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1710.09926","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1710.09926","pdf_url":"https://arxiv.org/pdf/1710.09926","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1127810244","display_name":null,"funder_award_id":"89233218CNA0000","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G1406813184","display_name":null,"funder_award_id":"89233218CNA000","funder_id":"https://openalex.org/F4320338304","funder_display_name":"Los Alamos National Laboratory"},{"id":"https://openalex.org/G216489703","display_name":null,"funder_award_id":"89233218CNA00000","funder_id":"https://openalex.org/F4320332369","funder_display_name":"National Nuclear Security Administration"},{"id":"https://openalex.org/G2356915424","display_name":null,"funder_award_id":"89233218CNA000001","funder_id":"https://openalex.org/F4320337547","funder_display_name":"Laboratory Directed Research and Development"},{"id":"https://openalex.org/G3359278407","display_name":null,"funder_award_id":"9233218CNA000001","funder_id":"https://openalex.org/F4320332369","funder_display_name":"National Nuclear Security Administration"},{"id":"https://openalex.org/G3793674015","display_name":null,"funder_award_id":"9233218CNA000001","funder_id":"https://openalex.org/F4320338304","funder_display_name":"Los Alamos National Laboratory"},{"id":"https://openalex.org/G4950733632","display_name":null,"funder_award_id":"000001","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G521799676","display_name":null,"funder_award_id":"UPSIDE","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"},{"id":"https://openalex.org/G6083127429","display_name":null,"funder_award_id":"00001","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G6387710405","display_name":null,"funder_award_id":"9233218CNA00000","funder_id":"https://openalex.org/F4320332369","funder_display_name":"National Nuclear Security Administration"},{"id":"https://openalex.org/G6995210142","display_name":null,"funder_award_id":"89233218CNA000001","funder_id":"https://openalex.org/F4320332369","funder_display_name":"National Nuclear Security Administration"},{"id":"https://openalex.org/G7038891139","display_name":null,"funder_award_id":"89233218","funder_id":"https://openalex.org/F4320338304","funder_display_name":"Los Alamos National Laboratory"},{"id":"https://openalex.org/G70659677","display_name":null,"funder_award_id":"89233218CNA000001","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7452998910","display_name":null,"funder_award_id":"00000","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7500863821","display_name":null,"funder_award_id":"89233218CNA000001","funder_id":"https://openalex.org/F4320338304","funder_display_name":"Los Alamos National Laboratory"},{"id":"https://openalex.org/G7851296133","display_name":null,"funder_award_id":"9233218CNA000001","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G8659807574","display_name":null,"funder_award_id":"89233218CNA000001","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G8803809456","display_name":null,"funder_award_id":"89233218CNA00000","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G996238640","display_name":null,"funder_award_id":"89233218CNA00000","funder_id":"https://openalex.org/F4320338304","funder_display_name":"Los Alamos National Laboratory"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306084","display_name":"U.S. Department of Energy","ror":"https://ror.org/01bj3aw27"},{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"},{"id":"https://openalex.org/F4320332369","display_name":"National Nuclear Security Administration","ror":"https://ror.org/03sk1we31"},{"id":"https://openalex.org/F4320337547","display_name":"Laboratory Directed Research and Development","ror":"https://ror.org/01e41cf67"},{"id":"https://openalex.org/F4320338304","display_name":"Los Alamos National Laboratory","ror":"https://ror.org/01e41cf67"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W189596042","https://openalex.org/W2029830211","https://openalex.org/W2100495367","https://openalex.org/W2100543212","https://openalex.org/W2145096794","https://openalex.org/W2276024283","https://openalex.org/W2296616510","https://openalex.org/W2331128040","https://openalex.org/W2540559269","https://openalex.org/W2580080206","https://openalex.org/W2963037581","https://openalex.org/W2963174698","https://openalex.org/W3118608800","https://openalex.org/W4250955649","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W2963266122","https://openalex.org/W3018465214","https://openalex.org/W2943316151","https://openalex.org/W2963419712","https://openalex.org/W2988915675","https://openalex.org/W3097291057","https://openalex.org/W3188520720","https://openalex.org/W3162814809","https://openalex.org/W2786977213","https://openalex.org/W3105540235","https://openalex.org/W3090094956","https://openalex.org/W2970004826","https://openalex.org/W2919720707","https://openalex.org/W2969999750","https://openalex.org/W2914826019","https://openalex.org/W2798309714","https://openalex.org/W3014389908","https://openalex.org/W2741976748","https://openalex.org/W3110055068"],"abstract_inverted_index":{"Bottleneck":[0],"autoencoders":[1,18,127],"have":[2],"been":[3],"actively":[4],"researched":[5],"as":[6,89],"a":[7],"solution":[8],"to":[9,35,71,102,109,125],"image":[10,38,50,98],"compression":[11,51,99],"tasks.":[12],"However,":[13],"we":[14,28,76,117],"observed":[15],"that":[16,48,78,82,119],"bottleneck":[17,72,110,126],"produce":[19],"subjectively":[20],"low":[21],"quality":[22,39,66],"reconstructed":[23,37,55],"images.":[24],"In":[25,74],"this":[26],"work,":[27],"explore":[29],"the":[30,41,94,129],"ability":[31],"of":[32,44,61,64,132],"sparse":[33,49,97,120],"coding":[34,121],"improve":[36],"for":[40,128],"same":[42,130],"degree":[43,131],"compression.":[45,133],"We":[46],"observe":[47],"produces":[52],"visually":[53],"superior":[54,124],"images":[56],"and":[57,68,93,104],"yields":[58],"higher":[59],"values":[60],"pixel-wise":[62],"measures":[63],"reconstruction":[65],"(PSNR":[67],"SSIM)":[69],"compared":[70,108],"autoencoders.":[73,111],"addition,":[75],"find":[77,118],"using":[79],"alternative":[80],"metrics":[81],"correlate":[83],"better":[84],"with":[85],"human":[86],"perception,":[87],"such":[88],"feature":[90],"perceptual":[91],"loss":[92],"classification":[95],"accuracy,":[96],"scores":[100],"up":[101],"18.06%":[103],"2.7%":[105],"higher,":[106],"respectively,":[107],"Although":[112],"computationally":[113],"much":[114],"more":[115],"intensive,":[116],"is":[122],"otherwise":[123]},"counts_by_year":[],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}