{"id":"https://openalex.org/W4392944677","doi":"https://doi.org/10.1109/iceic61013.2024.10457192","title":"Exploring Diverse Color Spaces in Frequency Domain-Based Image Augmentation for Corruption Robustness","display_name":"Exploring Diverse Color Spaces in Frequency Domain-Based Image Augmentation for Corruption Robustness","publication_year":2024,"publication_date":"2024-01-28","ids":{"openalex":"https://openalex.org/W4392944677","doi":"https://doi.org/10.1109/iceic61013.2024.10457192"},"language":"en","primary_location":{"id":"doi:10.1109/iceic61013.2024.10457192","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iceic61013.2024.10457192","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Electronics, Information, and Communication (ICEIC)","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/A5057531572","display_name":"Hyunha Hwang","orcid":null},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Hyunha Hwang","raw_affiliation_strings":["Seoul National University,Dept. of Electrical and Computer Engineering,Seoul,South Korea","Dept. of Electrical and Computer Engineering, Seoul National University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Seoul National University,Dept. of Electrical and Computer Engineering,Seoul,South Korea","institution_ids":["https://openalex.org/I139264467"]},{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, Seoul National University, Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039863333","display_name":"Kyujoong Lee","orcid":"https://orcid.org/0000-0002-3080-3010"},"institutions":[{"id":"https://openalex.org/I165677929","display_name":"Sungshin Women's University","ror":"https://ror.org/0500xzf72","country_code":"KR","type":"education","lineage":["https://openalex.org/I165677929"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kyujoong Lee","raw_affiliation_strings":["School of AI Convergence, Sungshin Women&#x0027;s University,Seoul,South Korea"],"affiliations":[{"raw_affiliation_string":"School of AI Convergence, Sungshin Women&#x0027;s University,Seoul,South Korea","institution_ids":["https://openalex.org/I165677929"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102861073","display_name":"Hyuk-Jae Lee","orcid":"https://orcid.org/0000-0001-8895-9117"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyuk-Jae Lee","raw_affiliation_strings":["Seoul National University,Dept. of Electrical and Computer Engineering,Seoul,South Korea","Dept. of Electrical and Computer Engineering, Seoul National University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Seoul National University,Dept. of Electrical and Computer Engineering,Seoul,South Korea","institution_ids":["https://openalex.org/I139264467"]},{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, Seoul National University, Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5057531572"],"corresponding_institution_ids":["https://openalex.org/I139264467"],"apc_list":null,"apc_paid":null,"fwci":0.2632,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.47027976,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"3"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.8163999915122986,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.8163999915122986,"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":0.7957000136375427,"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":0.7806000113487244,"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/robustness","display_name":"Robustness (evolution)","score":0.8438699841499329},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6402016878128052},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.6068074703216553},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5964407324790955},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5497494339942932}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8438699841499329},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6402016878128052},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.6068074703216553},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5964407324790955},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5497494339942932},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iceic61013.2024.10457192","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iceic61013.2024.10457192","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Electronics, Information, and Communication (ICEIC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7300000190734863,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G559892148","display_name":null,"funder_award_id":"2020M3H6A1085498","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2015159529","https://openalex.org/W2746314669","https://openalex.org/W2905631704","https://openalex.org/W2994088087","https://openalex.org/W2998508940","https://openalex.org/W4288404646","https://openalex.org/W4323824345"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"This":[0],"study":[1],"investigates":[2],"the":[3,6,10,29,35,54,70,102],"application":[4],"of":[5,57,96,117],"Random":[7],"Erasing":[8],"in":[9,19,60,109,121],"Frequency":[11],"Domain":[12],"(REF)":[13],"technique":[14],"to":[15,41,113],"enhance":[16],"corruption":[17,91,110],"robustness":[18],"image":[20,122],"classification.":[21,123],"The":[22],"REF":[23,47,59,82],"method":[24],"involves":[25],"manipulating":[26],"images":[27],"using":[28,77],"Discrete":[30,37],"Fourier":[31,38],"Transform":[32,39],"(DFT)":[33],"and":[34,67,89,98],"Inverse":[36],"(IDFT)":[40],"erase":[42],"specific":[43],"frequency":[44],"components.":[45],"While":[46],"has":[48],"proven":[49],"effective,":[50],"this":[51,118],"research":[52],"explores":[53],"potential":[55,120],"benefits":[56],"applying":[58],"different":[61],"color":[62,79,104],"spaces,":[63],"such":[64],"as":[65],"YUV":[66],"HSV,":[68],"beyond":[69],"conventional":[71],"RGB":[72],"space.":[73],"We":[74],"hypothesize":[75],"that":[76],"diverse":[78],"spaces":[80],"with":[81],"can":[83],"effectively":[84],"address":[85],"previously":[86],"unexplored":[87],"dimensions":[88],"improve":[90],"robustness.":[92],"Through":[93],"a":[94,114],"series":[95],"experiments":[97],"analysis,":[99],"we":[100],"identify":[101],"optimal":[103],"space":[105],"for":[106],"maximizing":[107],"improvements":[108],"robustness,":[111],"contributing":[112],"deeper":[115],"understanding":[116],"technique's":[119]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
