{"id":"https://openalex.org/W3161465959","doi":"https://doi.org/10.1109/icpr48806.2021.9413154","title":"Boosting High-Level Vision with Joint Compression Artifacts Reduction and Super-Resolution","display_name":"Boosting High-Level Vision with Joint Compression Artifacts Reduction and Super-Resolution","publication_year":2021,"publication_date":"2021-01-10","ids":{"openalex":"https://openalex.org/W3161465959","doi":"https://doi.org/10.1109/icpr48806.2021.9413154","mag":"3161465959"},"language":"en","primary_location":{"id":"doi:10.1109/icpr48806.2021.9413154","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9413154","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","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/A5019024548","display_name":"Xiaoyu Xiang","orcid":"https://orcid.org/0000-0002-5999-9133"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xiaoyu Xiang","raw_affiliation_strings":["Purdue University, West Lafayette, IN, USA"],"affiliations":[{"raw_affiliation_string":"Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100659445","display_name":"Qian Lin","orcid":"https://orcid.org/0009-0000-7034-7331"},"institutions":[{"id":"https://openalex.org/I1324840837","display_name":"Hewlett-Packard (United States)","ror":"https://ror.org/059rn9488","country_code":"US","type":"company","lineage":["https://openalex.org/I1324840837"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qian Lin","raw_affiliation_strings":["HP Labs, Palo Alto, CA, USA"],"affiliations":[{"raw_affiliation_string":"HP Labs, Palo Alto, CA, USA","institution_ids":["https://openalex.org/I1324840837"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043967979","display_name":"Jan P. Allebach","orcid":"https://orcid.org/0000-0001-5608-8249"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jan P. Allebach","raw_affiliation_strings":["Purdue University, West Lafayette, IN, USA"],"affiliations":[{"raw_affiliation_string":"Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5019024548"],"corresponding_institution_ids":["https://openalex.org/I219193219"],"apc_list":null,"apc_paid":null,"fwci":0.5764,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.67447712,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"2390","last_page":"2397"},"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":0.9987000226974487,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8671793937683105},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.766461968421936},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.6108015179634094},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.600327730178833},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5874700546264648},{"id":"https://openalex.org/keywords/compression-artifact","display_name":"Compression artifact","score":0.563728392124176},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.41282951831817627},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3789321184158325},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.27645525336265564},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2111710011959076},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.20482516288757324}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8671793937683105},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.766461968421936},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.6108015179634094},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.600327730178833},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5874700546264648},{"id":"https://openalex.org/C57654395","wikidata":"https://www.wikidata.org/wiki/Q1097775","display_name":"Compression artifact","level":5,"score":0.563728392124176},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.41282951831817627},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3789321184158325},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.27645525336265564},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2111710011959076},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20482516288757324}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr48806.2021.9413154","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9413154","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","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":71,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W1522301498","https://openalex.org/W1580932091","https://openalex.org/W1791560514","https://openalex.org/W1910615622","https://openalex.org/W1930824406","https://openalex.org/W1946766895","https://openalex.org/W1960682387","https://openalex.org/W2008806374","https://openalex.org/W2018942646","https://openalex.org/W2047920195","https://openalex.org/W2099471712","https://openalex.org/W2113172355","https://openalex.org/W2121927366","https://openalex.org/W2133665775","https://openalex.org/W2142683286","https://openalex.org/W2145367339","https://openalex.org/W2192954843","https://openalex.org/W2194775991","https://openalex.org/W2331128040","https://openalex.org/W2345337169","https://openalex.org/W2412782625","https://openalex.org/W2466611277","https://openalex.org/W2476548250","https://openalex.org/W2503339013","https://openalex.org/W2508457857","https://openalex.org/W2519021537","https://openalex.org/W2526792573","https://openalex.org/W2565312867","https://openalex.org/W2579152745","https://openalex.org/W2585094121","https://openalex.org/W2739757502","https://openalex.org/W2741137940","https://openalex.org/W2783978965","https://openalex.org/W2798748382","https://openalex.org/W2805163084","https://openalex.org/W2866634454","https://openalex.org/W2891158090","https://openalex.org/W2921556238","https://openalex.org/W2943832862","https://openalex.org/W2949786817","https://openalex.org/W2954930822","https://openalex.org/W2962687329","https://openalex.org/W2962737939","https://openalex.org/W2963091558","https://openalex.org/W2963268050","https://openalex.org/W2963372104","https://openalex.org/W2963470893","https://openalex.org/W2963566548","https://openalex.org/W2963572007","https://openalex.org/W2963717866","https://openalex.org/W2964101377","https://openalex.org/W2964121744","https://openalex.org/W2970971581","https://openalex.org/W2975891009","https://openalex.org/W3000775737","https://openalex.org/W3004846386","https://openalex.org/W3014389908","https://openalex.org/W3035236663","https://openalex.org/W3101659800","https://openalex.org/W3124718178","https://openalex.org/W4295312788","https://openalex.org/W4320013936","https://openalex.org/W6602211262","https://openalex.org/W6638194035","https://openalex.org/W6702130928","https://openalex.org/W6724673846","https://openalex.org/W6752237900","https://openalex.org/W6753074096","https://openalex.org/W6754405603","https://openalex.org/W6766978945"],"related_works":["https://openalex.org/W2125652721","https://openalex.org/W1540371141","https://openalex.org/W1549363203","https://openalex.org/W4231274751","https://openalex.org/W2154063878","https://openalex.org/W2556012038","https://openalex.org/W1489772951","https://openalex.org/W1518215897","https://openalex.org/W1538046993","https://openalex.org/W2474028989"],"abstract_inverted_index":{"Due":[0],"to":[1,42,88,102,177,189],"the":[2,31,169,180],"limits":[3],"of":[4,23,33,147],"bandwidth":[5],"and":[6,14,25,65,76,85,91,106,112,124,150,167,179],"storage":[7],"space,":[8],"digital":[9],"images":[10],"are":[11],"usually":[12],"down-scaled":[13],"compressed":[15,52],"when":[16],"transmitted":[17],"over":[18],"networks,":[19],"resulting":[20],"in":[21,93,140],"loss":[22],"details":[24],"jarring":[26],"artifacts":[27,62],"that":[28,81,117,157],"can":[29,159],"lower":[30],"performance":[32],"high-level":[34,141],"visual":[35],"tasks.":[36,68],"In":[37],"this":[38,132],"paper,":[39],"we":[40,70,134],"aim":[41],"generate":[43],"an":[44,54,162],"artifact-free":[45],"high-resolution":[46,107],"image":[47,164],"from":[48],"a":[49,72,96],"low-resolution":[50,148],"one":[51],"with":[53],"arbitrary":[55],"quality":[56,105],"factor":[57],"by":[58],"exploring":[59],"joint":[60,74],"compression":[61],"reduction":[63],"(CAR)":[64],"super-resolution":[66],"(SR)":[67],"First,":[69],"propose":[71],"context-aware":[73],"CAR":[75,90,111],"SR":[77,92,113],"neural":[78],"network":[79,99],"(CAJNN)":[80],"integrates":[82],"both":[83],"local":[84],"non-local":[86],"features":[87],"solve":[89],"one-stage.":[94],"Finally,":[95],"deep":[97],"reconstruction":[98],"is":[100],"adopted":[101],"predict":[103],"high":[104],"images.":[108],"Evaluation":[109],"on":[110,131],"benchmark":[114],"datasets":[115],"shows":[116],"our":[118],"CAJNN":[119,158],"model":[120],"outperforms":[121],"previous":[122],"methods":[123],"also":[125],"takes":[126],"26.2%":[127],"shorter":[128],"runtime.":[129],"Based":[130],"model,":[133],"explore":[135],"addressing":[136],"two":[137],"critical":[138],"challenges":[139],"computer":[142],"vision:":[143],"optical":[144],"character":[145],"recognition":[146,174],"texts,":[149],"extremely":[151],"tiny":[152,184],"face":[153,185],"detection.":[154],"We":[155],"demonstrate":[156],"serve":[160],"as":[161],"effective":[163],"preprocessing":[165],"method":[166],"improve":[168],"accuracy":[170],"for":[171,183],"real-scene":[172],"text":[173],"(from":[175,187],"85.30%":[176],"85.75%)":[178],"average":[181],"precision":[182],"detection":[186],"0.317":[188],"0.611).":[190]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}