{"id":"https://openalex.org/W3194957385","doi":"https://doi.org/10.1109/icip42928.2021.9506094","title":"Accurate Compensation Makes the World More Clear for the Visually Impaired","display_name":"Accurate Compensation Makes the World More Clear for the Visually Impaired","publication_year":2021,"publication_date":"2021-08-23","ids":{"openalex":"https://openalex.org/W3194957385","doi":"https://doi.org/10.1109/icip42928.2021.9506094","mag":"3194957385"},"language":"en","primary_location":{"id":"doi:10.1109/icip42928.2021.9506094","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip42928.2021.9506094","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 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/A5019148813","display_name":"Sijing Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sijing Wu","raw_affiliation_strings":["Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University,Shanghai,China","Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University,Shanghai,China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015291775","display_name":"Huiyu Duan","orcid":"https://orcid.org/0000-0002-6519-4067"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huiyu Duan","raw_affiliation_strings":["Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University,Shanghai,China","Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University,Shanghai,China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043405654","display_name":"Xiongkuo Min","orcid":"https://orcid.org/0000-0001-5693-0416"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiongkuo Min","raw_affiliation_strings":["Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University,Shanghai,China","Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University,Shanghai,China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043611587","display_name":"Danyang Tu","orcid":"https://orcid.org/0000-0001-9632-9131"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Danyang Tu","raw_affiliation_strings":["Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University,Shanghai,China","Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University,Shanghai,China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064168853","display_name":"Guangtao Zhai","orcid":"https://orcid.org/0000-0001-8165-9322"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangtao Zhai","raw_affiliation_strings":["Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University,Shanghai,China","Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University,Shanghai,China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"604","last_page":"608"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9987999796867371,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9987999796867371,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9962000250816345,"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/T11438","display_name":"Retinal Imaging and Analysis","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7230074405670166},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7037411332130432},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6821919679641724},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.6310573220252991},{"id":"https://openalex.org/keywords/visually-impaired","display_name":"Visually impaired","score":0.6045384407043457},{"id":"https://openalex.org/keywords/compensation","display_name":"Compensation (psychology)","score":0.5719529390335083},{"id":"https://openalex.org/keywords/visual-impairment","display_name":"Visual impairment","score":0.5437357425689697},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4909510910511017},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4180067777633667},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.14876732230186462},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.1434430480003357}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7230074405670166},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7037411332130432},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6821919679641724},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.6310573220252991},{"id":"https://openalex.org/C3020106864","wikidata":"https://www.wikidata.org/wiki/Q737460","display_name":"Visually impaired","level":2,"score":0.6045384407043457},{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.5719529390335083},{"id":"https://openalex.org/C2781372952","wikidata":"https://www.wikidata.org/wiki/Q737460","display_name":"Visual impairment","level":2,"score":0.5437357425689697},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4909510910511017},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4180067777633667},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.14876732230186462},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.1434430480003357},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip42928.2021.9506094","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip42928.2021.9506094","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"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":25,"referenced_works":["https://openalex.org/W1513426191","https://openalex.org/W1901129140","https://openalex.org/W1977973479","https://openalex.org/W1988180949","https://openalex.org/W2004150329","https://openalex.org/W2056957518","https://openalex.org/W2083458772","https://openalex.org/W2114933246","https://openalex.org/W2134774992","https://openalex.org/W2144917418","https://openalex.org/W2240361137","https://openalex.org/W2410854359","https://openalex.org/W2563198233","https://openalex.org/W2598949438","https://openalex.org/W2607202125","https://openalex.org/W2735974062","https://openalex.org/W2889411115","https://openalex.org/W2906841820","https://openalex.org/W2963068450","https://openalex.org/W2970529936","https://openalex.org/W3022710784","https://openalex.org/W3125028070","https://openalex.org/W6630581303","https://openalex.org/W6639824700","https://openalex.org/W6690254211"],"related_works":["https://openalex.org/W4205667428","https://openalex.org/W4323567756","https://openalex.org/W1989937509","https://openalex.org/W2069592018","https://openalex.org/W2354017594","https://openalex.org/W2166248296","https://openalex.org/W2995743050","https://openalex.org/W3022313497","https://openalex.org/W332756932","https://openalex.org/W2976816735"],"abstract_inverted_index":{"Visual":[0],"impairment":[1],"is":[2,18,36,60],"one":[3],"of":[4,19,42,142,159],"the":[5,14,27,32,37,40,57,90,96,114,127,132,136,140,143,150,157,160],"most":[6],"serious":[7],"social":[8],"and":[9,22,107,111,135],"public":[10],"health":[11],"problems":[12],"in":[13],"world,":[15],"therefore,":[16],"it":[17],"great":[20],"theoretical":[21],"practical":[23],"significance":[24],"to":[25,66,69,117],"study":[26],"image":[28,53,120,145],"enhancement":[29,54,121,146],"algorithms":[30],"for":[31,39,56,71,126,149],"visually":[33,58,73],"impaired,":[34],"which":[35,62,154],"basis":[38],"development":[41],"assistive":[43],"devices.":[44],"In":[45],"this":[46],"paper,":[47],"a":[48],"general":[49],"deep":[50],"learning":[51],"based":[52,94],"framework":[55,116],"impaired":[59,74],"proposed,":[61],"can":[63,77],"be":[64,78],"used":[65],"enhance":[67],"images":[68],"compensate":[70],"any":[72],"symptom":[75],"that":[76],"modeled.":[79],"Take":[80],"central":[81,91,128,151],"vision":[82,92,129,152],"loss":[83,93],"as":[84],"an":[85,119],"example,":[86],"we":[87],"first":[88],"model":[89],"on":[95],"contrast":[97],"sensitivity":[98],"function":[99],"(CSF)":[100],"specified":[101],"by":[102],"clinical":[103],"indicator":[104],"Pelli-Robson":[105],"score":[106],"logMAR":[108],"visual":[109],"acuity,":[110],"then":[112],"use":[113],"proposed":[115,144,161],"generate":[118],"method":[122,147],"aiming":[123],"at":[124],"compensating":[125],"loss.":[130],"Both":[131],"simulation":[133],"experiment":[134,138],"patient":[137],"show":[139],"superiority":[141],"designed":[148],"loss,":[153],"also":[155],"validates":[156],"effectiveness":[158],"framework.":[162]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}