{"id":"https://openalex.org/W2981467186","doi":"https://doi.org/10.1007/978-3-030-33723-0_30","title":"Residual CNN Image Compression","display_name":"Residual CNN Image Compression","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2981467186","doi":"https://doi.org/10.1007/978-3-030-33723-0_30","mag":"2981467186"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-33723-0_30","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-33723-0_30","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5067848102","display_name":"Kunal Rajan Deshmukh","orcid":"https://orcid.org/0000-0002-9917-3221"},"institutions":[{"id":"https://openalex.org/I51504820","display_name":"San Jose State University","ror":"https://ror.org/04qyvz380","country_code":"US","type":"education","lineage":["https://openalex.org/I51504820"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Kunal Deshmukh","raw_affiliation_strings":["San Jose State University, San Jose, CA, 95192, USA"],"raw_orcid":"https://orcid.org/0000-0002-9917-3221","affiliations":[{"raw_affiliation_string":"San Jose State University, San Jose, CA, 95192, USA","institution_ids":["https://openalex.org/I51504820"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077536245","display_name":"Chris Pollett","orcid":null},"institutions":[{"id":"https://openalex.org/I51504820","display_name":"San Jose State University","ror":"https://ror.org/04qyvz380","country_code":"US","type":"education","lineage":["https://openalex.org/I51504820"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chris Pollett","raw_affiliation_strings":["San Jose State University, San Jose, CA, 95192, USA"],"raw_orcid":"https://orcid.org/0000-0002-3546-1654","affiliations":[{"raw_affiliation_string":"San Jose State University, San Jose, CA, 95192, USA","institution_ids":["https://openalex.org/I51504820"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5067848102"],"corresponding_institution_ids":["https://openalex.org/I51504820"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.2562,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.52245491,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"371","last_page":"382"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":1.0,"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":1.0,"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":0.9998999834060669,"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/T10531","display_name":"Advanced Vision and Imaging","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"}}],"keywords":[{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.8079506158828735},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.7594913244247437},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7493866086006165},{"id":"https://openalex.org/keywords/peak-signal-to-noise-ratio","display_name":"Peak signal-to-noise ratio","score":0.6897790431976318},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.5560111403465271},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5556042790412903},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5510212182998657},{"id":"https://openalex.org/keywords/texture-compression","display_name":"Texture compression","score":0.544914186000824},{"id":"https://openalex.org/keywords/data-compression-ratio","display_name":"Data compression ratio","score":0.5245789885520935},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.5224665403366089},{"id":"https://openalex.org/keywords/fractal-transform","display_name":"Fractal transform","score":0.4568110704421997},{"id":"https://openalex.org/keywords/compression-ratio","display_name":"Compression ratio","score":0.4484805166721344},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.4357338845729828},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.4188050925731659},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.407858669757843},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40682491660118103},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.40205368399620056},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3633121848106384}],"concepts":[{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.8079506158828735},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.7594913244247437},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7493866086006165},{"id":"https://openalex.org/C154579607","wikidata":"https://www.wikidata.org/wiki/Q3373850","display_name":"Peak signal-to-noise ratio","level":3,"score":0.6897790431976318},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.5560111403465271},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5556042790412903},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5510212182998657},{"id":"https://openalex.org/C54243161","wikidata":"https://www.wikidata.org/wiki/Q39333","display_name":"Texture compression","level":5,"score":0.544914186000824},{"id":"https://openalex.org/C94835093","wikidata":"https://www.wikidata.org/wiki/Q3113333","display_name":"Data compression ratio","level":5,"score":0.5245789885520935},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.5224665403366089},{"id":"https://openalex.org/C144112376","wikidata":"https://www.wikidata.org/wiki/Q5477512","display_name":"Fractal transform","level":5,"score":0.4568110704421997},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.4484805166721344},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.4357338845729828},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4188050925731659},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.407858669757843},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40682491660118103},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.40205368399620056},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3633121848106384},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-030-33723-0_30","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-33723-0_30","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.44999998807907104,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W167976882","https://openalex.org/W1486989822","https://openalex.org/W1686810756","https://openalex.org/W2085880494","https://openalex.org/W2135065661","https://openalex.org/W2160866359","https://openalex.org/W2557216475","https://openalex.org/W2740336064","https://openalex.org/W2949117887","https://openalex.org/W2963470893","https://openalex.org/W3105540235","https://openalex.org/W6679338098"],"related_works":["https://openalex.org/W2068691509","https://openalex.org/W2132527882","https://openalex.org/W2914940215","https://openalex.org/W2299424318","https://openalex.org/W2616483496","https://openalex.org/W2103878867","https://openalex.org/W1907430896","https://openalex.org/W2614579019","https://openalex.org/W2356662348","https://openalex.org/W2953482628"],"abstract_inverted_index":null,"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}