{"id":"https://openalex.org/W3163000522","doi":"https://doi.org/10.1109/icce50685.2021.9427719","title":"Chip and System Design of Intrinsic Image Decomposition and Enhancement Based on Conditional Generative Adversarial Network","display_name":"Chip and System Design of Intrinsic Image Decomposition and Enhancement Based on Conditional Generative Adversarial Network","publication_year":2021,"publication_date":"2021-01-10","ids":{"openalex":"https://openalex.org/W3163000522","doi":"https://doi.org/10.1109/icce50685.2021.9427719","mag":"3163000522"},"language":"en","primary_location":{"id":"doi:10.1109/icce50685.2021.9427719","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce50685.2021.9427719","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 Consumer Electronics (ICCE)","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/A5101706512","display_name":"Yicheng Liu","orcid":"https://orcid.org/0000-0003-0318-7870"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yi-Cheng Liu","raw_affiliation_strings":["Naional Taupie University of Technology, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"Naional Taupie University of Technology, Taipei, Taiwan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057166442","display_name":"Kai-Ting Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kai-Ting Liu","raw_affiliation_strings":["Naional Taupie University of Technology, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"Naional Taupie University of Technology, Taipei, Taiwan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061800858","display_name":"You-Sheng Xiao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"You-Sheng Xiao","raw_affiliation_strings":["Naional Taupie University of Technology, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"Naional Taupie University of Technology, Taipei, Taiwan","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040699291","display_name":"Yu\u2010Cheng Fan","orcid":"https://orcid.org/0000-0002-9599-6415"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu-Cheng Fan","raw_affiliation_strings":["Naional Taupie University of Technology, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"Naional Taupie University of Technology, Taipei, Taiwan","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101706512"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04936275,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9947999715805054,"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/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9922999739646912,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6744972467422485},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.5615404844284058},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5128862857818604},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.510957658290863},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.502910315990448},{"id":"https://openalex.org/keywords/luminance","display_name":"Luminance","score":0.50211501121521},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.48631152510643005},{"id":"https://openalex.org/keywords/shadow","display_name":"Shadow (psychology)","score":0.47400081157684326},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4610764980316162},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.42739319801330566},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.410221129655838},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4015296697616577},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.29664748907089233},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.09284016489982605}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6744972467422485},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.5615404844284058},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5128862857818604},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.510957658290863},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.502910315990448},{"id":"https://openalex.org/C73313986","wikidata":"https://www.wikidata.org/wiki/Q355386","display_name":"Luminance","level":2,"score":0.50211501121521},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.48631152510643005},{"id":"https://openalex.org/C117797892","wikidata":"https://www.wikidata.org/wiki/Q286363","display_name":"Shadow (psychology)","level":2,"score":0.47400081157684326},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4610764980316162},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.42739319801330566},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.410221129655838},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4015296697616577},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.29664748907089233},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.09284016489982605},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce50685.2021.9427719","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce50685.2021.9427719","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 Consumer Electronics (ICCE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1513100184","https://openalex.org/W2059360435","https://openalex.org/W2061941024","https://openalex.org/W2076491823","https://openalex.org/W2113404166","https://openalex.org/W2289252105","https://openalex.org/W2405756170","https://openalex.org/W2502312327","https://openalex.org/W2537589430","https://openalex.org/W2782966897","https://openalex.org/W2787579267","https://openalex.org/W2962754210","https://openalex.org/W6713645886","https://openalex.org/W6724804524","https://openalex.org/W6748655329"],"related_works":["https://openalex.org/W1990245967","https://openalex.org/W2054177013","https://openalex.org/W4383506493","https://openalex.org/W1994772959","https://openalex.org/W2427340667","https://openalex.org/W2136398500","https://openalex.org/W2600517000","https://openalex.org/W4377104339","https://openalex.org/W3195885932","https://openalex.org/W2070659558"],"abstract_inverted_index":{"A":[0],"new":[1],"Conditional":[2],"Generative":[3],"Adversarial":[4],"Network":[5],"architecture":[6],"the":[7,23,49,57,67,70,77,93,97,101,105,108,112],"paper":[8],"proposed,":[9],"which":[10],"has":[11],"two":[12,87],"layers":[13,88],"of":[14,25,40,56,69,79,86,107],"neural":[15,20,58],"networks.":[16],"The":[17,43,53],"first":[18],"layer":[19,51,55,72,99],"network":[21,59],"uses":[22],"concept":[24],"intrinsic":[26,44],"image":[27,45,68],"decomposition":[28,46],"to":[29,62,75,91],"train":[30,63],"a":[31],"model":[32],"that":[33],"can":[34],"transfer":[35],"styles":[36],"and":[37,66,81,110],"generate":[38],"images":[39],"reflectance":[41],"layers.":[42],"algorithm":[47],"generates":[48],"shadow":[50,71],"image.":[52],"second":[54],"is":[60,73],"used":[61],"luminance":[64],"correction,":[65],"enhanced":[74],"achieve":[76],"effect":[78],"bright":[80],"dark":[82],"correction.":[83],"Finally,":[84],"results":[85],"are":[89],"combined":[90],"finish":[92],"enhancement,":[94],"we":[95],"implement":[96],"convolutional":[98],"into":[100],"digital":[102],"circuit":[103],"through":[104],"arrangement":[106],"array,":[109],"reducing":[111],"computation":[113],"time.":[114]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
