{"id":"https://openalex.org/W2026606685","doi":"https://doi.org/10.1109/cvpr.2012.6247707","title":"Identigram/watermark removal using cross-channel correlation","display_name":"Identigram/watermark removal using cross-channel correlation","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W2026606685","doi":"https://doi.org/10.1109/cvpr.2012.6247707","mag":"2026606685"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2012.6247707","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2012.6247707","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Conference on Computer Vision and Pattern Recognition","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/A5100611457","display_name":"Jaesik Park","orcid":"https://orcid.org/0000-0001-5541-409X"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jaesik Park","raw_affiliation_strings":["Korea Advanced Institute of Science and Technology, South Korea","Korea Advanced Institute of science and Technology (KAIST)"],"affiliations":[{"raw_affiliation_string":"Korea Advanced Institute of Science and Technology, South Korea","institution_ids":["https://openalex.org/I157485424"]},{"raw_affiliation_string":"Korea Advanced Institute of science and Technology (KAIST)","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001987788","display_name":"Yu\u2010Wing Tai","orcid":"https://orcid.org/0000-0002-3148-0380"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yu-Wing Tai","raw_affiliation_strings":["Korea Advanced Institute of Science and Technology, South Korea","Korea Advanced Institute of science and Technology (KAIST)"],"affiliations":[{"raw_affiliation_string":"Korea Advanced Institute of Science and Technology, South Korea","institution_ids":["https://openalex.org/I157485424"]},{"raw_affiliation_string":"Korea Advanced Institute of science and Technology (KAIST)","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012455275","display_name":"In So Kweon","orcid":"https://orcid.org/0000-0001-9626-5983"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"In So Kweon","raw_affiliation_strings":["Korea Advanced Institute of Science and Technology, South Korea","Korea Advanced Institute of science and Technology (KAIST)"],"affiliations":[{"raw_affiliation_string":"Korea Advanced Institute of Science and Technology, South Korea","institution_ids":["https://openalex.org/I157485424"]},{"raw_affiliation_string":"Korea Advanced Institute of science and Technology (KAIST)","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100611457"],"corresponding_institution_ids":["https://openalex.org/I157485424"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.1022269,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"446","last_page":"453"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","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/T12357","display_name":"Digital Media Forensic Detection","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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9988999962806702,"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/T10388","display_name":"Advanced Steganography and Watermarking 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"}}],"keywords":[{"id":"https://openalex.org/keywords/inpainting","display_name":"Inpainting","score":0.8634307384490967},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6820895671844482},{"id":"https://openalex.org/keywords/watermark","display_name":"Watermark","score":0.6493421792984009},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.6251522898674011},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.5885820388793945},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5791826248168945},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5476788282394409},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5387260913848877},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.4989480972290039},{"id":"https://openalex.org/keywords/color-space","display_name":"Color space","score":0.4631722569465637},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.4411850869655609},{"id":"https://openalex.org/keywords/classification-of-discontinuities","display_name":"Classification of discontinuities","score":0.44000792503356934},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42996665835380554},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.4283272624015808},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4090458154678345},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3596166968345642},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2615021765232086},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.07820594310760498}],"concepts":[{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.8634307384490967},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6820895671844482},{"id":"https://openalex.org/C164112704","wikidata":"https://www.wikidata.org/wiki/Q7974348","display_name":"Watermark","level":3,"score":0.6493421792984009},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.6251522898674011},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.5885820388793945},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5791826248168945},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5476788282394409},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5387260913848877},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.4989480972290039},{"id":"https://openalex.org/C2961294","wikidata":"https://www.wikidata.org/wiki/Q166863","display_name":"Color space","level":3,"score":0.4631722569465637},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.4411850869655609},{"id":"https://openalex.org/C15627037","wikidata":"https://www.wikidata.org/wiki/Q541961","display_name":"Classification of discontinuities","level":2,"score":0.44000792503356934},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42996665835380554},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.4283272624015808},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4090458154678345},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3596166968345642},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2615021765232086},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.07820594310760498},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cvpr.2012.6247707","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2012.6247707","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.227.6004","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.227.6004","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://yuwing.kaist.ac.kr/papers/cvpr12_identigram.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1557146212","https://openalex.org/W1996724560","https://openalex.org/W2043905695","https://openalex.org/W2049155291","https://openalex.org/W2070604790","https://openalex.org/W2075915116","https://openalex.org/W2099111195","https://openalex.org/W2109714704","https://openalex.org/W2114122776","https://openalex.org/W2116013899","https://openalex.org/W2121562662","https://openalex.org/W2123649031","https://openalex.org/W2125873654","https://openalex.org/W2130179934","https://openalex.org/W2147901574","https://openalex.org/W2158579015","https://openalex.org/W2159693038","https://openalex.org/W2171011251","https://openalex.org/W2247440048","https://openalex.org/W2295936755","https://openalex.org/W2997095758","https://openalex.org/W3179217560","https://openalex.org/W4240726888","https://openalex.org/W6678243978","https://openalex.org/W6683453179"],"related_works":["https://openalex.org/W2049757131","https://openalex.org/W2378943413","https://openalex.org/W2352937602","https://openalex.org/W3032257599","https://openalex.org/W2089080948","https://openalex.org/W2029591773","https://openalex.org/W1977788373","https://openalex.org/W1981206111","https://openalex.org/W1978048487","https://openalex.org/W2386483153"],"abstract_inverted_index":{"We":[0,105],"introduce":[1],"a":[2,16],"method":[3,19],"to":[4],"repair":[5,75],"an":[6,13,43],"image":[7,31,67,77],"which":[8,26,56],"has":[9],"been":[10],"stamped":[11],"by":[12],"identigram":[14,61],"or":[15],"watermark.":[17],"Our":[18,119],"is":[20],"based":[21,99],"on":[22,100],"the":[23,28,51,58,65,76,80,85,91,94,101,128],"cross-channel":[24,102],"correlation":[25,34,103],"assures":[27],"co-occurrence":[29],"of":[30,35,42,53,60,64],"discontinuities":[32],"and":[33,62,93,113,126],"color":[36,40,54,72],"distributions":[37],"across":[38],"different":[39,70],"channels":[41],"image.":[44],"Using":[45],"blind":[46],"source":[47],"separation,":[48],"we":[49,83],"find":[50],"transformation":[52],"space":[55],"separates":[57],"structures":[59],"that":[63],"original":[66],"into":[68],"two":[69],"individual":[71],"channels.":[73],"To":[74],"contents":[78],"in":[79],"corrupted":[81],"channel,":[82],"formulate":[84],"problem":[86],"using":[87],"Bayes'":[88],"rule":[89],"where":[90],"prior":[92],"likelihood":[95],"probabilities":[96],"are":[97,121],"defined":[98],"assumption.":[104],"compare":[106],"our":[107],"results":[108,110,120],"with":[109],"from":[111],"inpainting":[112],"texture":[114],"synthesis-based":[115],"hole":[116],"filling":[117],"techniques.":[118],"pleasable":[122],"for":[123,131],"real-world":[124],"examples":[125],"have":[127],"maximum":[129],"PSNR":[130],"synthetic":[132],"examples.":[133]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
