{"id":"https://openalex.org/W2997169029","doi":"https://doi.org/10.1109/icct46805.2019.8947254","title":"Robust Image Watermarking in the Print-Cam Process","display_name":"Robust Image Watermarking in the Print-Cam Process","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2997169029","doi":"https://doi.org/10.1109/icct46805.2019.8947254","mag":"2997169029"},"language":"en","primary_location":{"id":"doi:10.1109/icct46805.2019.8947254","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icct46805.2019.8947254","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 19th International Conference on Communication Technology (ICCT)","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/A5101870874","display_name":"Shuang Liang","orcid":"https://orcid.org/0000-0003-0881-5549"},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuang Liang","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100740509","display_name":"Xingjun Wang","orcid":"https://orcid.org/0000-0001-5186-830X"},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingjun Wang","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1626","last_page":"1630"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":1.0,"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/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":1.0,"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/T12707","display_name":"Vehicle License Plate Recognition","score":0.9980999827384949,"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"}},{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9980000257492065,"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/digital-watermarking","display_name":"Digital watermarking","score":0.8736395835876465},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7425568103790283},{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.6469225883483887},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6349775195121765},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6300162672996521},{"id":"https://openalex.org/keywords/watermark","display_name":"Watermark","score":0.5909149646759033},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5711785554885864},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47420695424079895},{"id":"https://openalex.org/keywords/authentication","display_name":"Authentication (law)","score":0.4535537362098694},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.4347080588340759},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.40248408913612366},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.37120676040649414},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2918039858341217},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.16538122296333313}],"concepts":[{"id":"https://openalex.org/C150817343","wikidata":"https://www.wikidata.org/wiki/Q875932","display_name":"Digital watermarking","level":3,"score":0.8736395835876465},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7425568103790283},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.6469225883483887},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6349775195121765},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6300162672996521},{"id":"https://openalex.org/C164112704","wikidata":"https://www.wikidata.org/wiki/Q7974348","display_name":"Watermark","level":3,"score":0.5909149646759033},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5711785554885864},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47420695424079895},{"id":"https://openalex.org/C148417208","wikidata":"https://www.wikidata.org/wiki/Q4825882","display_name":"Authentication (law)","level":2,"score":0.4535537362098694},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.4347080588340759},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.40248408913612366},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.37120676040649414},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2918039858341217},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.16538122296333313},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icct46805.2019.8947254","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icct46805.2019.8947254","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 19th International Conference on Communication Technology (ICCT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Responsible consumption and production","score":0.4300000071525574,"id":"https://metadata.un.org/sdg/12"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W141448076","https://openalex.org/W1524144700","https://openalex.org/W1529122600","https://openalex.org/W1581789875","https://openalex.org/W1583678519","https://openalex.org/W2019986539","https://openalex.org/W2029880287","https://openalex.org/W2043927217","https://openalex.org/W2085261163","https://openalex.org/W2139289040","https://openalex.org/W2151103935","https://openalex.org/W2472718590","https://openalex.org/W2756303286","https://openalex.org/W6605713261","https://openalex.org/W6634856053"],"related_works":["https://openalex.org/W2137394636","https://openalex.org/W2358993821","https://openalex.org/W1516446231","https://openalex.org/W2098152888","https://openalex.org/W1559740347","https://openalex.org/W2040356834","https://openalex.org/W2385289568","https://openalex.org/W2381486749","https://openalex.org/W1514507288","https://openalex.org/W2183032046"],"abstract_inverted_index":{"Nowadays":[0],"with":[1],"the":[2,43,55,58,74,82,87,97,103,110,114],"popularity":[3],"of":[4,90,122],"smartphones,":[5],"it":[6],"is":[7,47,92,106,116],"increasingly":[8],"valuable":[9],"to":[10,80,95],"capture":[11],"side":[12],"information":[13],"in":[14,109],"print":[15],"media":[16],"through":[17],"phone":[18],"cameras.":[19],"The":[20,99],"print-cam":[21,44,111],"process":[22,89],"produces":[23],"serious":[24],"attacks":[25],"during":[26],"capturing":[27],"images,":[28],"especially":[29],"geometric":[30,83],"distortions.":[31],"In":[32,54],"this":[33],"paper,":[34],"we":[35],"propose":[36],"a":[37,119],"robust":[38,108],"image":[39],"watermarking":[40,61],"method":[41,59,105,115],"for":[42,118,126],"process,":[45,57],"which":[46],"also":[48],"evaluated":[49],"on":[50,63],"some":[51],"different":[52],"smartphones.":[53],"embedding":[56,91],"uses":[60],"based":[62],"Discrete":[64],"Cosine":[65],"Transform":[66,72],"(DCT).":[67],"We":[68],"introduce":[69],"Scale-Invariant":[70],"Feature":[71],"(SIFT),":[73],"local":[75],"feature":[76],"point":[77],"detection":[78],"techniques,":[79],"restore":[81],"distortions,":[84],"and":[85,124,136],"then":[86],"reverse":[88],"carried":[93],"out":[94],"extract":[96],"watermark.":[98],"results":[100],"show":[101],"that":[102],"proposed":[104],"considerably":[107],"process.":[112],"Meanwhile,":[113],"suitable":[117],"wide":[120],"range":[121],"smartphones":[123],"acceptable":[125],"real-life":[127],"applications":[128],"such":[129],"as":[130],"ID":[131],"card":[132],"verification,":[133],"anti-counterfeit":[134],"traceability,":[135],"medicine":[137],"authentication.":[138]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
