{"id":"https://openalex.org/W2184401052","doi":null,"title":"A Novel Digital Watermarking Scheme Using Neural Networks with Tamper Detection Capability","display_name":"A Novel Digital Watermarking Scheme Using Neural Networks with Tamper Detection Capability","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W2184401052","mag":"2184401052"},"language":"en","primary_location":{"id":"mag:2184401052","doi":null,"is_oa":false,"landing_page_url":"http://research.iaun.ac.ir/pd/mahdavinasab/pdfs/PaperM_3415.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5090648309","display_name":"Mohamad Vafaei","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I9256017","display_name":"Islamic Azad University of Najafabad","ror":"https://ror.org/015j7c446","country_code":"IR","type":"education","lineage":["https://openalex.org/I110525433","https://openalex.org/I9256017"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mohamad Vafaei","raw_affiliation_strings":["ISLAMIC AZAD UNIVERSITY OF NAJAFABAD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ISLAMIC AZAD UNIVERSITY OF NAJAFABAD","institution_ids":["https://openalex.org/I9256017"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086148969","display_name":"Homayoun Mahdavi\u2010Nasab","orcid":"https://orcid.org/0000-0003-2992-8657","observed_orcids":["https://orcid.org/0000-0003-2992-8657"]},"institutions":[{"id":"https://openalex.org/I9256017","display_name":"Islamic Azad University of Najafabad","ror":"https://ror.org/015j7c446","country_code":"IR","type":"education","lineage":["https://openalex.org/I110525433","https://openalex.org/I9256017"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Homayoun Mahdavi\u2010Nasab","raw_affiliation_strings":["ISLAMIC AZAD UNIVERSITY OF NAJAFABAD"],"raw_orcid":"https://orcid.org/0000-0003-2992-8657","affiliations":[{"raw_affiliation_string":"ISLAMIC AZAD UNIVERSITY OF NAJAFABAD","institution_ids":["https://openalex.org/I9256017"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I9256017"],"apc_list":null,"apc_paid":null,"fwci":0.3192,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.63105427,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":96},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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/T10901","display_name":"Advanced Data Compression Techniques","score":9.999999747378752e-05,"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":0.0,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/digital-watermarking","display_name":"digital watermarking","score":0.9620000123977661},{"id":"https://openalex.org/keywords/wavelet-coefficient-quantization","display_name":"wavelet coefficient quantization","score":0.8840000033378601},{"id":"https://openalex.org/keywords/neural-network","display_name":"artificial neural networks","score":0.8629999756813049},{"id":"https://openalex.org/keywords/tamper-detection","display_name":"tamper detection","score":0.8700000047683716},{"id":"https://openalex.org/keywords/imperceptibility","display_name":"imperceptibility","score":0.9629999995231628},{"id":"https://openalex.org/keywords/robustness","display_name":"robustness","score":0.7760000228881836},{"id":"https://openalex.org/keywords/binary-watermark","display_name":"binary watermark","score":0.5529999732971191},{"id":"https://openalex.org/keywords/jpeg-compression-attacks","display_name":"JPEG compression attacks","score":0.6690000295639038},{"id":"https://openalex.org/keywords/noise-attacks","display_name":"noise attacks","score":0.6639999747276306}],"concepts":[{"id":"https://openalex.org/C164112704","wikidata":"https://www.wikidata.org/wiki/Q7974348","display_name":"Watermark","level":3,"score":0.8861886262893677},{"id":"https://openalex.org/C150817343","wikidata":"https://www.wikidata.org/wiki/Q875932","display_name":"Digital watermarking","level":3,"score":0.8696448802947998},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6252073049545288},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5924197435379028},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5902915000915527},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5743255019187927},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5481635928153992},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.49428272247314453},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4910743236541748},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4757901430130005},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.4554552435874939},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.42537397146224976},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.4107424318790436},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.3974148631095886},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36842989921569824},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.27754127979278564},{"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},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2184401052","doi":null,"is_oa":false,"landing_page_url":"http://research.iaun.ac.ir/pd/mahdavinasab/pdfs/PaperM_3415.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1482561811","https://openalex.org/W1513782901","https://openalex.org/W1889285734","https://openalex.org/W1973110771","https://openalex.org/W1981925483","https://openalex.org/W1982733016","https://openalex.org/W1994399628","https://openalex.org/W2003848907","https://openalex.org/W2053943694","https://openalex.org/W2071679850","https://openalex.org/W2098732218","https://openalex.org/W2098914003","https://openalex.org/W2111233756","https://openalex.org/W2112347448","https://openalex.org/W2113801595","https://openalex.org/W2116467012","https://openalex.org/W2116988482","https://openalex.org/W2120400964","https://openalex.org/W2120990108","https://openalex.org/W2133512674","https://openalex.org/W2133958774","https://openalex.org/W2152570627","https://openalex.org/W2155482699","https://openalex.org/W2158892171","https://openalex.org/W2164149934","https://openalex.org/W2164587393","https://openalex.org/W2164678342","https://openalex.org/W2166820261","https://openalex.org/W2168561137","https://openalex.org/W2187371168","https://openalex.org/W2338904478","https://openalex.org/W3145480061","https://openalex.org/W4239883254"],"related_works":["https://openalex.org/W2186511676","https://openalex.org/W2186589321","https://openalex.org/W2390946082","https://openalex.org/W2132389623","https://openalex.org/W4394829644","https://openalex.org/W2003848907","https://openalex.org/W2122566249","https://openalex.org/W2076946881","https://openalex.org/W2394160929","https://openalex.org/W2378604987"],"abstract_inverted_index":{"In":[0,32],"this":[1],"paper,":[2],"a":[3,60],"novel":[4],"watermarking":[5,30],"method":[6,94,115],"based":[7],"on":[8],"wavelet":[9,51,90],"coefficient":[10],"quantization":[11],"using":[12],"artificial":[13],"neural":[14,41],"networks":[15,42],"is":[16,79],"proposed.":[17],"Imperceptibility":[18],"and":[19,62,84,110,124,126,132],"robustness":[20,112],"are":[21,38,57,69],"known":[22],"as":[23,81,122],"the":[24,33,45,54,63,73,82,88,97,101,114,145],"main":[25],"contradictory":[26],"requirements":[27],"of":[28,53,65,113,119,139],"every":[29],"scheme.":[31],"proposed":[34,93],"method,":[35],"better":[36],"compromises":[37],"achieved":[39],"applying":[40],"to":[43,72,137],"adjust":[44],"watermark":[46,74,83],"strength.":[47],"Every":[48],"four":[49],"non-overlapped":[50],"coefficients":[52,68],"host":[55],"image":[56,78],"grouped":[58],"into":[59,87],"block":[61],"differences":[64],"appropriately":[66],"selected":[67,89],"quantized":[70],"according":[71],"bit.":[75],"A":[76],"binary":[77],"used":[80],"embedded":[85],"repetitively":[86],"coefficients.":[91],"The":[92],"also":[95],"improves":[96],"tamper":[98],"detection":[99],"in":[100,135,144],"watermarked":[102],"image.":[103],"Experimental":[104],"results":[105],"demonstrate":[106],"simultaneous":[107],"good":[108],"imperceptibility":[109],"high":[111],"against":[116],"several":[117],"types":[118],"attacks,":[120],"such":[121],"Gaussian":[123],"salt":[125],"pepper":[127],"noise":[128],"addition,":[129],"median":[130],"filtering,":[131],"JPEG":[133],"compression;":[134],"addition":[136],"capability":[138],"detecting":[140],"even":[141],"minor":[142],"changes":[143],"watermarked.":[146]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2026-10-12T09:40:04.860316","created_date":"2016-06-24T00:00:00"}