{"id":"https://openalex.org/W2539753187","doi":"https://doi.org/10.1109/wifs.2009.5386493","title":"Secure and HVS-adaptive exhibition Spread Transform Dither Modulation watermarking for Digital Cinema","display_name":"Secure and HVS-adaptive exhibition Spread Transform Dither Modulation watermarking for Digital Cinema","publication_year":2009,"publication_date":"2009-12-01","ids":{"openalex":"https://openalex.org/W2539753187","doi":"https://doi.org/10.1109/wifs.2009.5386493","mag":"2539753187"},"language":"en","primary_location":{"id":"doi:10.1109/wifs.2009.5386493","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wifs.2009.5386493","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 First IEEE International Workshop on Information Forensics and Security (WIFS)","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/A5078993524","display_name":"Rony Darazi","orcid":"https://orcid.org/0000-0001-6057-6245"},"institutions":[{"id":"https://openalex.org/I95674353","display_name":"UCLouvain","ror":"https://ror.org/02495e989","country_code":"BE","type":"education","lineage":["https://openalex.org/I95674353"]}],"countries":["BE"],"is_corresponding":true,"raw_author_name":"Rony Darazi","raw_affiliation_strings":["Communications and Remote Sensing laboratory, Universit\u00e9 catholique de Louvain, Louvain-la-Neuve, Belgium"],"affiliations":[{"raw_affiliation_string":"Communications and Remote Sensing laboratory, Universit\u00e9 catholique de Louvain, Louvain-la-Neuve, Belgium","institution_ids":["https://openalex.org/I95674353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028107986","display_name":"Pilar Callau","orcid":null},"institutions":[{"id":"https://openalex.org/I95674353","display_name":"UCLouvain","ror":"https://ror.org/02495e989","country_code":"BE","type":"education","lineage":["https://openalex.org/I95674353"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Pilar Callau","raw_affiliation_strings":["Communications and Remote Sensing laboratory, Universit\u00e9 catholique de Louvain, Louvain-la-Neuve, Belgium"],"affiliations":[{"raw_affiliation_string":"Communications and Remote Sensing laboratory, Universit\u00e9 catholique de Louvain, Louvain-la-Neuve, Belgium","institution_ids":["https://openalex.org/I95674353"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015968689","display_name":"Beno\u0131\u0302t Macq","orcid":"https://orcid.org/0000-0002-7243-4778"},"institutions":[{"id":"https://openalex.org/I95674353","display_name":"UCLouvain","ror":"https://ror.org/02495e989","country_code":"BE","type":"education","lineage":["https://openalex.org/I95674353"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Benoit Macq","raw_affiliation_strings":["Communications and Remote Sensing laboratory, Universit\u00e9 catholique de Louvain, Louvain-la-Neuve, Belgium"],"affiliations":[{"raw_affiliation_string":"Communications and Remote Sensing laboratory, Universit\u00e9 catholique de Louvain, Louvain-la-Neuve, Belgium","institution_ids":["https://openalex.org/I95674353"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5078993524"],"corresponding_institution_ids":["https://openalex.org/I95674353"],"apc_list":null,"apc_paid":null,"fwci":0.6471,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.75373356,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"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/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/T12357","display_name":"Digital Media Forensic Detection","score":0.9991999864578247,"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/T11017","display_name":"Chaos-based Image/Signal Encryption","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":0.8266952037811279},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.669881284236908},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5953048467636108},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5684967637062073},{"id":"https://openalex.org/keywords/human-visual-system-model","display_name":"Human visual system model","score":0.5108694434165955},{"id":"https://openalex.org/keywords/dither","display_name":"Dither","score":0.49868059158325195},{"id":"https://openalex.org/keywords/watermark","display_name":"Watermark","score":0.49504533410072327},{"id":"https://openalex.org/keywords/halftone","display_name":"Halftone","score":0.48215219378471375},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.47342684864997864},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.4470479488372803},{"id":"https://openalex.org/keywords/transform-coding","display_name":"Transform coding","score":0.4437550902366638},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.42973315715789795},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.395105242729187},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.37877321243286133},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.374656617641449},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.3734709620475769},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.3033314347267151},{"id":"https://openalex.org/keywords/noise-shaping","display_name":"Noise shaping","score":0.23926079273223877},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.13782048225402832}],"concepts":[{"id":"https://openalex.org/C150817343","wikidata":"https://www.wikidata.org/wiki/Q875932","display_name":"Digital watermarking","level":3,"score":0.8266952037811279},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.669881284236908},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5953048467636108},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5684967637062073},{"id":"https://openalex.org/C160086991","wikidata":"https://www.wikidata.org/wiki/Q5939193","display_name":"Human visual system model","level":3,"score":0.5108694434165955},{"id":"https://openalex.org/C70451592","wikidata":"https://www.wikidata.org/wiki/Q376493","display_name":"Dither","level":3,"score":0.49868059158325195},{"id":"https://openalex.org/C164112704","wikidata":"https://www.wikidata.org/wiki/Q7974348","display_name":"Watermark","level":3,"score":0.49504533410072327},{"id":"https://openalex.org/C2777635815","wikidata":"https://www.wikidata.org/wiki/Q1110021","display_name":"Halftone","level":3,"score":0.48215219378471375},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.47342684864997864},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.4470479488372803},{"id":"https://openalex.org/C169805256","wikidata":"https://www.wikidata.org/wiki/Q1361381","display_name":"Transform coding","level":4,"score":0.4437550902366638},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.42973315715789795},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.395105242729187},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.37877321243286133},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.374656617641449},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.3734709620475769},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.3033314347267151},{"id":"https://openalex.org/C9083635","wikidata":"https://www.wikidata.org/wiki/Q2133535","display_name":"Noise shaping","level":2,"score":0.23926079273223877},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13782048225402832},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/wifs.2009.5386493","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wifs.2009.5386493","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 First IEEE International Workshop on Information Forensics and Security (WIFS)","raw_type":"proceedings-article"},{"id":"pmh:oai:dial.uclouvain.be:boreal:67516","is_oa":false,"landing_page_url":"http://hdl.handle.net/2078.1/67516","pdf_url":null,"source":{"id":"https://openalex.org/S4306401902","display_name":"Digital Access to Libraries (Universit\u00e9 catholique de Louvain (UCL), l'Universit\u00e9 de Namur (UNamur) and the Universit\u00e9 Saint-Louis (USL-B))","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I95674353","host_organization_name":"UCLouvain","host_organization_lineage":["https://openalex.org/I95674353"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2020354132","https://openalex.org/W2079186346","https://openalex.org/W2107465879","https://openalex.org/W2116467012","https://openalex.org/W2124755324","https://openalex.org/W2126415541","https://openalex.org/W2127962607","https://openalex.org/W2131707223","https://openalex.org/W2139357251","https://openalex.org/W2140653256","https://openalex.org/W2169111714","https://openalex.org/W2187912860","https://openalex.org/W2530315889","https://openalex.org/W2532188585","https://openalex.org/W2534335811","https://openalex.org/W2542899902","https://openalex.org/W2543861577","https://openalex.org/W2544338296","https://openalex.org/W2545805117","https://openalex.org/W6655691763"],"related_works":["https://openalex.org/W2147758750","https://openalex.org/W2169172224","https://openalex.org/W2020245493","https://openalex.org/W2762579005","https://openalex.org/W1993315740","https://openalex.org/W1749173910","https://openalex.org/W764555139","https://openalex.org/W2116595504","https://openalex.org/W2002739498","https://openalex.org/W2543386930"],"abstract_inverted_index":{"In":[0],"this":[1,117],"paper,":[2],"we":[3],"propose":[4],"a":[5,57,68,79,108],"secure":[6],"watermarking":[7],"scheme":[8,101],"based":[9],"on":[10],"spread":[11],"transform":[12,39],"dither":[13],"modulation":[14],"(STDM)":[15],"method":[16,91],"for":[17,116],"digital":[18],"cinema.":[19],"The":[20,99],"embedding":[21],"is":[22,92,111],"performed":[23],"in":[24,53,77,113],"the":[25,30,35,43,48,74,89,105,114],"JPEG2000":[26],"decoding":[27],"pipeline":[28],"after":[29],"de-quantization":[31],"and":[32,61],"prior":[33],"to":[34,47,55],"inverse":[36],"discrete":[37],"wavelet":[38,44],"(IDWT).":[40],"We":[41,66],"exploit":[42],"properties":[45],"related":[46],"human":[49],"visual":[50],"system":[51],"(HVS)":[52],"order":[54],"have":[56],"trade-off":[58],"between":[59],"fidelity":[60],"robustness,":[62],"while":[63],"preserving":[64],"security.":[65,84],"design":[67],"pixel-wise":[69],"masking":[70],"vector":[71,76],"that":[72,81,88],"modulates":[73],"spreading":[75],"such":[78],"way":[80],"preserves":[82],"its":[83],"Our":[85],"results":[86],"show":[87],"proposed":[90,100],"robust":[93],"against":[94],"traditional":[95],"image":[96],"processing":[97],"attacks.":[98],"can":[102],"also":[103],"survive":[104],"camecording":[106],"attack,":[107],"pre-processing":[109],"step":[110],"done":[112],"detection":[115],"end.":[118]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}