{"id":"https://openalex.org/W2970009752","doi":"https://doi.org/10.1109/icip.2019.8803374","title":"Deep Jpeg Image Deblocking Using Residual Maxout Units","display_name":"Deep Jpeg Image Deblocking Using Residual Maxout Units","publication_year":2019,"publication_date":"2019-08-26","ids":{"openalex":"https://openalex.org/W2970009752","doi":"https://doi.org/10.1109/icip.2019.8803374","mag":"2970009752"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2019.8803374","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8803374","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5074650143","display_name":"Alireza Esmaeilzehi","orcid":"https://orcid.org/0000-0002-3625-1608"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Alireza Esmaeilzehi","raw_affiliation_strings":["Concordia University, Montreal, QC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Concordia University, Montreal, QC, Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068820891","display_name":"M. Omair Ahmad","orcid":"https://orcid.org/0000-0002-2924-6659"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"M. Omair Ahmad","raw_affiliation_strings":["Concordia University, Montreal, QC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Concordia University, Montreal, QC, Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013967994","display_name":"M.N.S. Swamy","orcid":"https://orcid.org/0000-0002-3989-5476"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"M. N. S. Swamy","raw_affiliation_strings":["Concordia University, Montreal, QC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Concordia University, Montreal, QC, Canada","institution_ids":["https://openalex.org/I60158472"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I60158472"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2681","last_page":"2685"},"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":0.9997000098228455,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9988999962806702,"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/deblocking-filter","display_name":"Deblocking filter","score":0.8679215908050537},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7910248041152954},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7812031507492065},{"id":"https://openalex.org/keywords/jpeg","display_name":"JPEG","score":0.7781609296798706},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.763380765914917},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6608994007110596},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.6156266927719116},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5948441028594971},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.5910924673080444},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5497954487800598},{"id":"https://openalex.org/keywords/transform-coding","display_name":"Transform coding","score":0.48160216212272644},{"id":"https://openalex.org/keywords/compression-artifact","display_name":"Compression artifact","score":0.46096891164779663},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4083675444126129},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.14951938390731812},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.07710796594619751}],"concepts":[{"id":"https://openalex.org/C143184774","wikidata":"https://www.wikidata.org/wiki/Q3020846","display_name":"Deblocking filter","level":2,"score":0.8679215908050537},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7910248041152954},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7812031507492065},{"id":"https://openalex.org/C198751489","wikidata":"https://www.wikidata.org/wiki/Q2195","display_name":"JPEG","level":3,"score":0.7781609296798706},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.763380765914917},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6608994007110596},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.6156266927719116},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5948441028594971},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.5910924673080444},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5497954487800598},{"id":"https://openalex.org/C169805256","wikidata":"https://www.wikidata.org/wiki/Q1361381","display_name":"Transform coding","level":4,"score":0.48160216212272644},{"id":"https://openalex.org/C57654395","wikidata":"https://www.wikidata.org/wiki/Q1097775","display_name":"Compression artifact","level":5,"score":0.46096891164779663},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4083675444126129},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.14951938390731812},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.07710796594619751}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2019.8803374","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8803374","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.7599999904632568,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1588663000","https://openalex.org/W1677182931","https://openalex.org/W1815076433","https://openalex.org/W1885185971","https://openalex.org/W1903029394","https://openalex.org/W1906770428","https://openalex.org/W2121927366","https://openalex.org/W2135065661","https://openalex.org/W2142683286","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2242218935","https://openalex.org/W2294059674","https://openalex.org/W2466611277","https://openalex.org/W2508457857","https://openalex.org/W2519021537","https://openalex.org/W2557283755","https://openalex.org/W2740336064","https://openalex.org/W2894629025","https://openalex.org/W2919115771","https://openalex.org/W2949117887","https://openalex.org/W3182211633","https://openalex.org/W6635100096","https://openalex.org/W6638545294","https://openalex.org/W6684191040","https://openalex.org/W6696761078","https://openalex.org/W6726860198","https://openalex.org/W6798736878"],"related_works":["https://openalex.org/W3109737331","https://openalex.org/W3016393364","https://openalex.org/W2962930383","https://openalex.org/W4287814353","https://openalex.org/W3090149108","https://openalex.org/W2536414725","https://openalex.org/W2545896937","https://openalex.org/W2111280862","https://openalex.org/W2612631671","https://openalex.org/W2081477649"],"abstract_inverted_index":{"Image":[0],"compression":[1,22],"is":[2,62],"a":[3,42],"field":[4],"in":[5,14,20,30,77],"image":[6,33,37,44,60],"processing":[7],"that":[8,34],"tries":[9],"to":[10,28,68],"remove":[11],"redundant":[12],"information":[13,19],"an":[15],"image.":[16],"Losing":[17],"the":[18,31,36,57,70,73],"lossy":[21],"techniques":[23],"such":[24],"as":[25],"JPEG":[26],"results":[27,65],"artifacts":[29],"decompressed":[32],"necessitates":[35],"restoration.":[38],"In":[39],"this":[40],"work,":[41],"new":[43],"restoration":[45],"scheme":[46],"based":[47],"on":[48],"deep":[49],"neural":[50],"nets":[51],"and":[52,81],"maxout":[53],"activation":[54],"functions":[55],"for":[56],"application":[58],"of":[59,72,79],"deblocking":[61],"proposed.":[63],"Experimental":[64],"are":[66],"presented":[67],"demonstrate":[69],"superiority":[71],"proposed":[74],"method":[75],"both":[76],"terms":[78],"subjective":[80],"objective":[82],"metrics.":[83]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}