{"id":"https://openalex.org/W3096888130","doi":"https://doi.org/10.1109/ict49546.2020.9239457","title":"Color-Embedded-Grayscale Quality Enhancement Using Deep Convolutional Networks","display_name":"Color-Embedded-Grayscale Quality Enhancement Using Deep Convolutional Networks","publication_year":2020,"publication_date":"2020-10-05","ids":{"openalex":"https://openalex.org/W3096888130","doi":"https://doi.org/10.1109/ict49546.2020.9239457","mag":"3096888130"},"language":"en","primary_location":{"id":"doi:10.1109/ict49546.2020.9239457","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ict49546.2020.9239457","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 27th International Conference on Telecommunications (ICT)","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/A5014058089","display_name":"Albi Revlin Bagaskara","orcid":null},"institutions":[{"id":"https://openalex.org/I119896790","display_name":"Sebelas Maret University","ror":"https://ror.org/021hq5q33","country_code":"ID","type":"education","lineage":["https://openalex.org/I119896790"]}],"countries":["ID"],"is_corresponding":true,"raw_author_name":"Albi Revlin Bagaskara","raw_affiliation_strings":["Department of Informatics, Universitas Sebelas Maret(UNS), Surakarta, Indonesia","Universitas Sebelas Maret (UNS),,Department of Informatics,Surakarta,,Indonesia"],"affiliations":[{"raw_affiliation_string":"Department of Informatics, Universitas Sebelas Maret(UNS), Surakarta, Indonesia","institution_ids":["https://openalex.org/I119896790"]},{"raw_affiliation_string":"Universitas Sebelas Maret (UNS),,Department of Informatics,Surakarta,,Indonesia","institution_ids":["https://openalex.org/I119896790"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004946227","display_name":"Heri Prasetyo","orcid":"https://orcid.org/0000-0002-1257-4832"},"institutions":[{"id":"https://openalex.org/I119896790","display_name":"Sebelas Maret University","ror":"https://ror.org/021hq5q33","country_code":"ID","type":"education","lineage":["https://openalex.org/I119896790"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Heri Prasetyo","raw_affiliation_strings":["Department of Informatics, Universitas Sebelas Maret(UNS), Surakarta, Indonesia","Universitas Sebelas Maret (UNS),,Department of Informatics,Surakarta,,Indonesia"],"affiliations":[{"raw_affiliation_string":"Department of Informatics, Universitas Sebelas Maret(UNS), Surakarta, Indonesia","institution_ids":["https://openalex.org/I119896790"]},{"raw_affiliation_string":"Universitas Sebelas Maret (UNS),,Department of Informatics,Surakarta,,Indonesia","institution_ids":["https://openalex.org/I119896790"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112576923","display_name":"H. P. Alim Wicaksono","orcid":null},"institutions":[{"id":"https://openalex.org/I119896790","display_name":"Sebelas Maret University","ror":"https://ror.org/021hq5q33","country_code":"ID","type":"education","lineage":["https://openalex.org/I119896790"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"H. P. Alim Wicaksono","raw_affiliation_strings":["Department of Informatics, Universitas Sebelas Maret(UNS), Surakarta, Indonesia","Universitas Sebelas Maret (UNS),,Department of Informatics,Surakarta,,Indonesia"],"affiliations":[{"raw_affiliation_string":"Department of Informatics, Universitas Sebelas Maret(UNS), Surakarta, Indonesia","institution_ids":["https://openalex.org/I119896790"]},{"raw_affiliation_string":"Universitas Sebelas Maret (UNS),,Department of Informatics,Surakarta,,Indonesia","institution_ids":["https://openalex.org/I119896790"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5014058089"],"corresponding_institution_ids":["https://openalex.org/I119896790"],"apc_list":null,"apc_paid":null,"fwci":0.2931,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.57562008,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","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/T11105","display_name":"Advanced Image Processing Techniques","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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998000264167786,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9997000098228455,"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/grayscale","display_name":"Grayscale","score":0.8419843912124634},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8371342420578003},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7690571546554565},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.713926374912262},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6293927431106567},{"id":"https://openalex.org/keywords/color-balance","display_name":"Color balance","score":0.5790647864341736},{"id":"https://openalex.org/keywords/color-correction","display_name":"Color correction","score":0.5454552173614502},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.5194363594055176},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.5093058347702026},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.46262192726135254},{"id":"https://openalex.org/keywords/color-difference","display_name":"Color difference","score":0.4615737199783325},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4487546384334564},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4442826807498932},{"id":"https://openalex.org/keywords/color-normalization","display_name":"Color normalization","score":0.42276644706726074},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.30554068088531494},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.25716525316238403}],"concepts":[{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.8419843912124634},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8371342420578003},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7690571546554565},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.713926374912262},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6293927431106567},{"id":"https://openalex.org/C159784718","wikidata":"https://www.wikidata.org/wiki/Q182571","display_name":"Color balance","level":5,"score":0.5790647864341736},{"id":"https://openalex.org/C2779495555","wikidata":"https://www.wikidata.org/wiki/Q5148596","display_name":"Color correction","level":3,"score":0.5454552173614502},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.5194363594055176},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.5093058347702026},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.46262192726135254},{"id":"https://openalex.org/C186991048","wikidata":"https://www.wikidata.org/wiki/Q1184883","display_name":"Color difference","level":3,"score":0.4615737199783325},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4487546384334564},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4442826807498932},{"id":"https://openalex.org/C44404184","wikidata":"https://www.wikidata.org/wiki/Q5148620","display_name":"Color normalization","level":5,"score":0.42276644706726074},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.30554068088531494},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.25716525316238403},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ict49546.2020.9239457","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ict49546.2020.9239457","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 27th International Conference on Telecommunications (ICT)","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":10,"referenced_works":["https://openalex.org/W632330365","https://openalex.org/W1677182931","https://openalex.org/W2096524645","https://openalex.org/W2111563428","https://openalex.org/W2169245194","https://openalex.org/W2236361361","https://openalex.org/W2606833507","https://openalex.org/W2741137940","https://openalex.org/W2990240807","https://openalex.org/W6620242636"],"related_works":["https://openalex.org/W2587422540","https://openalex.org/W2040710860","https://openalex.org/W4382677416","https://openalex.org/W4308236840","https://openalex.org/W2349299344","https://openalex.org/W2515115425","https://openalex.org/W2781959534","https://openalex.org/W2536139236","https://openalex.org/W2149311672","https://openalex.org/W4214870735"],"abstract_inverted_index":{"The":[0],"color":[1,22,29,51,67,85],"recovery":[2,68,86],"process":[3],"of":[4,20,49],"color-embedded-grayscale":[5],"image":[6,23],"can":[7],"be":[8],"considered":[9],"as":[10,61],"ill-posed":[11],"inverse":[12],"imaging":[13],"problem.":[14],"In":[15],"most":[16],"cases,":[17],"the":[18,47,56,66,73,76,80,84],"quality":[19,48,93],"recovered":[21,50],"is":[24],"less":[25],"satisfied":[26],"due":[27],"to":[28],"distortion":[30],"and":[31,91],"checkerboard":[32],"artifacts.":[33],"To":[34],"overcome":[35],"this":[36],"aforementioned":[37],"problem,":[38],"we":[39],"propose":[40],"a":[41],"deep":[42],"learning-based":[43],"method":[44,54,78],"for":[45,83],"increasing":[46],"image.":[52],"This":[53],"employs":[55],"Convolutional":[57],"Neural":[58],"Networks":[59],"(CNN)":[60],"post":[62],"processing":[63],"step":[64],"in":[65,72],"stage.":[69],"As":[70],"reported":[71],"Experimental":[74],"Section,":[75],"proposed":[77],"yields":[79],"promising":[81],"results":[82],"task":[87],"examined":[88],"over":[89],"subjective":[90],"objective":[92],"assessments.":[94]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
