{"id":"https://openalex.org/W4308235795","doi":"https://doi.org/10.1109/icip46576.2022.9897366","title":"Improved DC Estimation for JPEG Compression Via Convex Relaxation","display_name":"Improved DC Estimation for JPEG Compression Via Convex Relaxation","publication_year":2022,"publication_date":"2022-10-16","ids":{"openalex":"https://openalex.org/W4308235795","doi":"https://doi.org/10.1109/icip46576.2022.9897366"},"language":"en","primary_location":{"id":"doi:10.1109/icip46576.2022.9897366","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9897366","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Image Processing (ICIP)","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/A5067880136","display_name":"Jianghui Zhang","orcid":"https://orcid.org/0000-0003-2637-0133"},"institutions":[{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jianghui Zhang","raw_affiliation_strings":["Tsinghua University,Tsinghua Shenzhen International Graduate School","Tsinghua Shenzhen International Graduate School, Tsinghua University"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,Tsinghua Shenzhen International Graduate School","institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"]},{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100427338","display_name":"Bin Chen","orcid":"https://orcid.org/0000-0002-4798-230X"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Chen","raw_affiliation_strings":["Harbin Institute of Technology,School of Computer Science and Technology,Shenzhen","School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,School of Computer Science and Technology,Shenzhen","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070032815","display_name":"Yujun Huang","orcid":"https://orcid.org/0000-0002-2763-6776"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]},{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujun Huang","raw_affiliation_strings":["Tsinghua University,Tsinghua Shenzhen International Graduate School","Tsinghua Shenzhen International Graduate School, Tsinghua University"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,Tsinghua Shenzhen International Graduate School","institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"]},{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019692903","display_name":"Han Qiu","orcid":"https://orcid.org/0000-0003-2678-8070"},"institutions":[{"id":"https://openalex.org/I4210142167","display_name":"DigitalSpace (United States)","ror":"https://ror.org/04h1th525","country_code":"US","type":"company","lineage":["https://openalex.org/I4210142167"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Han Qiu","raw_affiliation_strings":["Institute for Network Sciences and Cyberspace,Beijing","Institute for Network Sciences and Cyberspace, Beijing","National Research Center for Information Science and Technology, Tsinghua University"],"affiliations":[{"raw_affiliation_string":"Institute for Network Sciences and Cyberspace,Beijing","institution_ids":["https://openalex.org/I4210142167"]},{"raw_affiliation_string":"Institute for Network Sciences and Cyberspace, Beijing","institution_ids":[]},{"raw_affiliation_string":"National Research Center for Information Science and Technology, Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100376399","display_name":"Zhi Wang","orcid":"https://orcid.org/0000-0002-5462-6178"},"institutions":[{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi Wang","raw_affiliation_strings":["Tsinghua University,Tsinghua Shenzhen International Graduate School","Tsinghua Shenzhen International Graduate School, Tsinghua University"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,Tsinghua Shenzhen International Graduate School","institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"]},{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034104790","display_name":"Shu\u2010Tao Xia","orcid":"https://orcid.org/0000-0002-8639-982X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]},{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shutao Xia","raw_affiliation_strings":["Tsinghua University,Tsinghua Shenzhen International Graduate School","Tsinghua Shenzhen International Graduate School, Tsinghua University"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,Tsinghua Shenzhen International Graduate School","institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"]},{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5067880136"],"corresponding_institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.06,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.28696706,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"2461","last_page":"2465"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10901","display_name":"Advanced Data Compression 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/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"}}],"keywords":[{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.6025312542915344},{"id":"https://openalex.org/keywords/jpeg","display_name":"JPEG","score":0.5150887370109558},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5059513449668884},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.49454399943351746},{"id":"https://openalex.org/keywords/lossless-jpeg","display_name":"Lossless JPEG","score":0.4745006263256073},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4637131690979004},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.4329601526260376},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.29682284593582153},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2694889307022095},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22891095280647278},{"id":"https://openalex.org/keywords/composite-material","display_name":"Composite material","score":0.16460341215133667},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.094411700963974},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.09096944332122803},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.05701726675033569}],"concepts":[{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.6025312542915344},{"id":"https://openalex.org/C198751489","wikidata":"https://www.wikidata.org/wiki/Q2195","display_name":"JPEG","level":3,"score":0.5150887370109558},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5059513449668884},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.49454399943351746},{"id":"https://openalex.org/C8384606","wikidata":"https://www.wikidata.org/wiki/Q2190356","display_name":"Lossless JPEG","level":5,"score":0.4745006263256073},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4637131690979004},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.4329601526260376},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.29682284593582153},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2694889307022095},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22891095280647278},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.16460341215133667},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.094411700963974},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.09096944332122803},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.05701726675033569}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip46576.2022.9897366","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9897366","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1580389772","https://openalex.org/W1791560514","https://openalex.org/W1930824406","https://openalex.org/W2031614119","https://openalex.org/W2038194220","https://openalex.org/W2047196942","https://openalex.org/W2047920195","https://openalex.org/W2048138777","https://openalex.org/W2111247735","https://openalex.org/W2121927366","https://openalex.org/W2133665775","https://openalex.org/W2140196014","https://openalex.org/W2142683286","https://openalex.org/W2143140384","https://openalex.org/W2729472098","https://openalex.org/W2741137940","https://openalex.org/W3024673672","https://openalex.org/W3103167610"],"related_works":["https://openalex.org/W3173684497","https://openalex.org/W3190486427","https://openalex.org/W2095511247","https://openalex.org/W2134324324","https://openalex.org/W2913920880","https://openalex.org/W3206974005","https://openalex.org/W1969188281","https://openalex.org/W1992410481","https://openalex.org/W2976672386","https://openalex.org/W3162084246"],"abstract_inverted_index":{"Mass":[0],"image":[1,17,109],"transmission":[2,27],"has":[3],"undergone":[4],"an":[5,92],"explosion":[6],"of":[7,12,106,123],"growth":[8],"with":[9],"the":[10,13,26,40,48,55,80,121],"development":[11],"internet,":[14],"DCT-based":[15],"lossy":[16],"compression":[18,41],"like":[19],"JPEG":[20],"is":[21],"pervasively":[22],"conducted":[23],"to":[24,37,66,79],"save":[25],"bandwidth.":[28],"Recently,":[29],"DCT-domain":[30],"coefficient":[31],"estimation":[32,64,95],"approaches":[33],"have":[34],"been":[35],"proposed":[36],"further":[38],"improve":[39],"ratio":[42],"by":[43],"discarding":[44],"DC":[45,59,63,70,94],"coefficients":[46],"at":[47,54],"sender\u2019s":[49],"end":[50,57],"while":[51],"recovering":[52],"them":[53],"receiver\u2019s":[56],"via":[58,97],"estimation.":[60],"However,":[61],"known":[62],"needs":[65],"enumerate":[67],"all":[68],"possible":[69],"coefficients.":[71],"Consequently,":[72],"they":[73],"are":[74],"limited":[75],"and":[76,111],"resource-consuming":[77],"due":[78],"low":[81],"delay":[82],"requirements":[83],"in":[84,104],"real-time":[85],"transmission.":[86],"In":[87],"this":[88],"paper,":[89],"we":[90],"propose":[91],"improved":[93],"method":[96],"convex":[98],"relaxation,":[99],"which":[100],"achieves":[101],"state-of-the-art":[102],"performance":[103],"terms":[105],"both":[107],"recovery":[108],"quality":[110],"time":[112],"complexity.":[113],"Extensive":[114],"experiments":[115],"across":[116],"various":[117],"data":[118],"sets":[119],"demonstrate":[120],"advantages":[122],"our":[124],"method.":[125]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}