{"id":"https://openalex.org/W4317600270","doi":"https://doi.org/10.1109/pcs56426.2022.10018084","title":"Sandwiched Image Compression: Increasing the resolution and dynamic range of standard codecs","display_name":"Sandwiched Image Compression: Increasing the resolution and dynamic range of standard codecs","publication_year":2022,"publication_date":"2022-12-07","ids":{"openalex":"https://openalex.org/W4317600270","doi":"https://doi.org/10.1109/pcs56426.2022.10018084"},"language":"en","primary_location":{"id":"doi:10.1109/pcs56426.2022.10018084","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pcs56426.2022.10018084","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 Picture Coding Symposium (PCS)","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/A5028089028","display_name":"Onur G. Guleryuz","orcid":"https://orcid.org/0009-0007-8637-7181"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Onur G. Guleryuz","raw_affiliation_strings":["Google Research,USA","Google Research, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google Research,USA","institution_ids":["https://openalex.org/I1291425158"]},{"raw_affiliation_string":"Google Research, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019574907","display_name":"Philip A. Chou","orcid":"https://orcid.org/0000-0002-7242-0210"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Philip A. Chou","raw_affiliation_strings":["Google Research,USA","Google Research, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google Research,USA","institution_ids":["https://openalex.org/I1291425158"]},{"raw_affiliation_string":"Google Research, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056912277","display_name":"Hugues Hoppe","orcid":"https://orcid.org/0000-0002-9699-2539"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hugues Hoppe","raw_affiliation_strings":["Google Research,USA","Google Research, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google Research,USA","institution_ids":["https://openalex.org/I1291425158"]},{"raw_affiliation_string":"Google Research, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052922425","display_name":"Danhang Tang","orcid":"https://orcid.org/0000-0001-6164-8263"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Danhang Tang","raw_affiliation_strings":["Google Research,USA","Google Research, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google Research,USA","institution_ids":["https://openalex.org/I1291425158"]},{"raw_affiliation_string":"Google Research, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001822106","display_name":"Ruofei Du","orcid":"https://orcid.org/0000-0003-2471-9776"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ruofei Du","raw_affiliation_strings":["Google Research,USA","Google Research, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google Research,USA","institution_ids":["https://openalex.org/I1291425158"]},{"raw_affiliation_string":"Google Research, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066612368","display_name":"Philip Davidson","orcid":"https://orcid.org/0009-0009-2986-8210"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Philip Davidson","raw_affiliation_strings":["Google Research,USA","Google Research, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google Research,USA","institution_ids":["https://openalex.org/I1291425158"]},{"raw_affiliation_string":"Google Research, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056677910","display_name":"Sean Fanello","orcid":"https://orcid.org/0000-0001-9726-4501"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sean Fanello","raw_affiliation_strings":["Google Research,USA","Google Research, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google Research,USA","institution_ids":["https://openalex.org/I1291425158"]},{"raw_affiliation_string":"Google Research, USA","institution_ids":["https://openalex.org/I1291425158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1291425158"],"apc_list":null,"apc_paid":null,"fwci":0.9137,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.75904734,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"175","last_page":"179"},"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/T10531","display_name":"Advanced Vision and Imaging","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/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"}}],"keywords":[{"id":"https://openalex.org/keywords/codec","display_name":"Codec","score":0.9182014465332031},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.7408373355865479},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7263340950012207},{"id":"https://openalex.org/keywords/high-dynamic-range","display_name":"High dynamic range","score":0.5242748260498047},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.4881506562232971},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4855217933654785},{"id":"https://openalex.org/keywords/jpeg-2000","display_name":"JPEG 2000","score":0.4453255236148834},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4300861060619354},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.41882574558258057},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.4159368574619293},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40028682351112366},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39023324847221375},{"id":"https://openalex.org/keywords/dynamic-range","display_name":"Dynamic range","score":0.3415696620941162},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.28871968388557434},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2434563934803009},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.23838722705841064}],"concepts":[{"id":"https://openalex.org/C161765866","wikidata":"https://www.wikidata.org/wiki/Q184748","display_name":"Codec","level":2,"score":0.9182014465332031},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.7408373355865479},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7263340950012207},{"id":"https://openalex.org/C2780056265","wikidata":"https://www.wikidata.org/wiki/Q106239881","display_name":"High dynamic range","level":3,"score":0.5242748260498047},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.4881506562232971},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4855217933654785},{"id":"https://openalex.org/C69216139","wikidata":"https://www.wikidata.org/wiki/Q931783","display_name":"JPEG 2000","level":5,"score":0.4453255236148834},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4300861060619354},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.41882574558258057},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4159368574619293},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40028682351112366},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39023324847221375},{"id":"https://openalex.org/C87133666","wikidata":"https://www.wikidata.org/wiki/Q1161699","display_name":"Dynamic range","level":2,"score":0.3415696620941162},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.28871968388557434},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2434563934803009},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.23838722705841064},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/pcs56426.2022.10018084","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pcs56426.2022.10018084","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 Picture Coding Symposium (PCS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1481522378","https://openalex.org/W1901129140","https://openalex.org/W2184159350","https://openalex.org/W2345337169","https://openalex.org/W2508457857","https://openalex.org/W2552290192","https://openalex.org/W2552465432","https://openalex.org/W2741137940","https://openalex.org/W2785562966","https://openalex.org/W2894234546","https://openalex.org/W2949361041","https://openalex.org/W2963711615","https://openalex.org/W2970845706","https://openalex.org/W3034628923","https://openalex.org/W3036682213","https://openalex.org/W3047011367","https://openalex.org/W3090909748","https://openalex.org/W3095497211","https://openalex.org/W3116240515","https://openalex.org/W3116647679","https://openalex.org/W3161893847","https://openalex.org/W3183391581","https://openalex.org/W3214878703","https://openalex.org/W4285228119","https://openalex.org/W6704408313","https://openalex.org/W6754634825","https://openalex.org/W6780365925"],"related_works":["https://openalex.org/W2884377208","https://openalex.org/W2525745698","https://openalex.org/W2151920332","https://openalex.org/W2010724756","https://openalex.org/W2152030049","https://openalex.org/W2564543331","https://openalex.org/W2410869481","https://openalex.org/W2466475649","https://openalex.org/W2371190228","https://openalex.org/W1967888462"],"abstract_inverted_index":{"Given":[0],"a":[1,29,37,45],"standard":[2,26,34,42,51],"image":[3,100],"codec,":[4,52],"we":[5,53],"compress":[6],"images":[7,74,134,139],"that":[8,106],"may":[9],"have":[10],"higher":[11,14],"resolution":[12,63,77,114,121],"and/or":[13],"bit":[15,68,80,117,124],"depth":[16,69,81,118,125],"than":[17],"allowed":[18],"in":[19,153],"the":[20,25,33,41,49,50,55,61,98,141],"codec's":[21],"specifications,":[22],"by":[23],"sandwiching":[24],"codec":[27],"between":[28],"neural":[30,38,56,84],"pre-processor":[31],"(before":[32],"encoder)":[35],"and":[36,78,135],"post-processor":[39],"(after":[40],"decoder).":[43],"Using":[44],"differentiable":[46],"proxy":[47],"for":[48,132,137],"design":[54],"pre-and":[57],"post-processors":[58],"to":[59,96,108],"transport":[60],"high":[62,67,113,116],"(super-resolution,":[64],"SR)":[65],"or":[66,115,122],"(high":[70],"dynamic":[71],"range,":[72],"HDR)":[73],"as":[75,94],"lower":[76,79,120,123],"images.":[82],"The":[83],"processors":[85],"accomplish":[86],"this":[87],"with":[88],"spatially":[89],"coded":[90],"modulation,":[91],"which":[92],"acts":[93],"watermarks":[95],"preserve":[97],"important":[99],"detail":[101],"during":[102],"compression.":[103],"Experiments":[104],"show":[105],"compared":[107],"conventional":[109],"methods":[110],"of":[111],"transmitting":[112],"through":[119],"codecs,":[126],"our":[127],"sandwich":[128],"architecture":[129],"gains":[130,152],"~9dB":[131],"SR":[133],"$\\sim$3dB":[136],"HDR":[138],"at":[140],"same":[142],"rate":[143],"over":[144],"large":[145],"test":[146],"sets.":[147],"We":[148],"also":[149],"observe":[150],"significant":[151],"visual":[154],"quality.":[155]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}