{"id":"https://openalex.org/W2080839859","doi":"https://doi.org/10.1109/icip.2007.4379865","title":"Additive Watermark Detectors Based on a New Hierarchical Spatially Adaptive Image Model","display_name":"Additive Watermark Detectors Based on a New Hierarchical Spatially Adaptive Image Model","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2080839859","doi":"https://doi.org/10.1109/icip.2007.4379865","mag":"2080839859"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2007.4379865","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2007.4379865","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Conference on Image Processing","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/A5063784024","display_name":"Antonis Mairgiotis","orcid":null},"institutions":[{"id":"https://openalex.org/I194019607","display_name":"University of Ioannina","ror":"https://ror.org/01qg3j183","country_code":"GR","type":"education","lineage":["https://openalex.org/I194019607"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Antonis Mairgiotis","raw_affiliation_strings":["Department of Computer Science, University of Ioannina (UoI), Ioannina, Greece","Ioannina Univ., Ioannina"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Ioannina (UoI), Ioannina, Greece","institution_ids":["https://openalex.org/I194019607"]},{"raw_affiliation_string":"Ioannina Univ., Ioannina","institution_ids":["https://openalex.org/I194019607"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109244882","display_name":"Nikolaos Galatsanos","orcid":null},"institutions":[{"id":"https://openalex.org/I194019607","display_name":"University of Ioannina","ror":"https://ror.org/01qg3j183","country_code":"GR","type":"education","lineage":["https://openalex.org/I194019607"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Nikolaos Galatsanos","raw_affiliation_strings":["Department of Computer Science, University of Ioannina (UoI), Ioannina, Greece","Ioannina Univ., Ioannina"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Ioannina (UoI), Ioannina, Greece","institution_ids":["https://openalex.org/I194019607"]},{"raw_affiliation_string":"Ioannina Univ., Ioannina","institution_ids":["https://openalex.org/I194019607"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048523512","display_name":"Yongi Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I180949307","display_name":"Illinois Institute of Technology","ror":"https://ror.org/037t3ry66","country_code":"US","type":"education","lineage":["https://openalex.org/I180949307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yongi Yang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Illinois Institute of Technology, Chicago, IL, USA","Dept. of Electrical and Computer Engineering, Illinois Institute of Technology, Chicago, IL 60616, USA, yy@ece.iit.edu"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Illinois Institute of Technology, Chicago, IL, USA","institution_ids":["https://openalex.org/I180949307"]},{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, Illinois Institute of Technology, Chicago, IL 60616, USA, yy@ece.iit.edu","institution_ids":["https://openalex.org/I180949307"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"V ","last_page":" 461"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10388","display_name":"Advanced Steganography and Watermarking 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/T10388","display_name":"Advanced Steganography and Watermarking 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/T12357","display_name":"Digital Media Forensic Detection","score":0.9916999936103821,"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9902999997138977,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"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/watermark","display_name":"Watermark","score":0.8746072053909302},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.7201157808303833},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6392149925231934},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5885845422744751},{"id":"https://openalex.org/keywords/likelihood-ratio-test","display_name":"Likelihood-ratio test","score":0.567563533782959},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5547272562980652},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47437387704849243},{"id":"https://openalex.org/keywords/digital-watermarking","display_name":"Digital watermarking","score":0.47185254096984863},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4679153561592102},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4570380449295044},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3887147903442383},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3322913646697998},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.25374311208724976}],"concepts":[{"id":"https://openalex.org/C164112704","wikidata":"https://www.wikidata.org/wiki/Q7974348","display_name":"Watermark","level":3,"score":0.8746072053909302},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.7201157808303833},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6392149925231934},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5885845422744751},{"id":"https://openalex.org/C9483764","wikidata":"https://www.wikidata.org/wiki/Q585740","display_name":"Likelihood-ratio test","level":2,"score":0.567563533782959},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5547272562980652},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47437387704849243},{"id":"https://openalex.org/C150817343","wikidata":"https://www.wikidata.org/wiki/Q875932","display_name":"Digital watermarking","level":3,"score":0.47185254096984863},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4679153561592102},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4570380449295044},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3887147903442383},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3322913646697998},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.25374311208724976},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2007.4379865","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2007.4379865","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Conference on Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/6","display_name":"Clean water and sanitation","score":0.7099999785423279}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1663973292","https://openalex.org/W1988520084","https://openalex.org/W2017340278","https://openalex.org/W2020812925","https://openalex.org/W2057377371","https://openalex.org/W2060051465","https://openalex.org/W2073630772","https://openalex.org/W2092368531","https://openalex.org/W2098914003","https://openalex.org/W2099864919","https://openalex.org/W2110505738","https://openalex.org/W2116641053","https://openalex.org/W2120400964","https://openalex.org/W2121203485","https://openalex.org/W2124335859","https://openalex.org/W2131686571","https://openalex.org/W2133958774","https://openalex.org/W2134974095","https://openalex.org/W2151289376","https://openalex.org/W2151372718","https://openalex.org/W2151514667","https://openalex.org/W2153835821","https://openalex.org/W2163534628","https://openalex.org/W2163612361","https://openalex.org/W2163887005","https://openalex.org/W2164705121","https://openalex.org/W2164978881","https://openalex.org/W2165411585","https://openalex.org/W2166887721","https://openalex.org/W2170151472","https://openalex.org/W2611745365","https://openalex.org/W2974222084","https://openalex.org/W4285719527"],"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":{"In":[0],"this":[1,43,73],"paper":[2],"we":[3,75],"propose":[4],"a":[5,22,77],"new":[6],"family":[7],"of":[8,42,53,79],"watermark":[9,84],"detectors":[10,18,80],"for":[11,35,81],"additive":[12,83],"watermarks":[13],"in":[14],"digital":[15],"images.":[16],"These":[17],"are":[19],"based":[20],"on":[21,72],"recently":[23],"proposed":[24],"two-level,":[25],"hierarchical":[26],"image":[27,36,65],"model,":[28],"which":[29],"was":[30],"found":[31],"to":[32,47,62],"be":[33],"beneficial":[34],"recovery":[37],"problems.":[38],"The":[39],"top":[40],"level":[41,59],"model":[44,74],"is":[45,60],"defined":[46],"exploit":[48],"the":[49,54,57,64,82,88],"spatially-varying":[50],"local":[51],"statistics":[52],"image,":[55],"while":[56],"bottom":[58],"used":[61],"characterize":[63],"variations":[66],"along":[67],"two":[68],"principal":[69],"directions.":[70],"Based":[71],"derive":[76],"class":[78],"detection":[85],"problem,":[86],"including":[87],"generalized":[89],"likelihood":[90],"ratio":[91],"test":[92],"(GLRT)":[93],"and":[94],"Rao":[95],"detectors.":[96]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}