{"id":"https://openalex.org/W4396914411","doi":"https://doi.org/10.1155/2024/6618382","title":"Image Robust Watermarking Method Based on DWT-SVD Transform and Chaotic Map","display_name":"Image Robust Watermarking Method Based on DWT-SVD Transform and Chaotic Map","publication_year":2024,"publication_date":"2024-05-15","ids":{"openalex":"https://openalex.org/W4396914411","doi":"https://doi.org/10.1155/2024/6618382"},"language":"en","primary_location":{"id":"doi:10.1155/2024/6618382","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2024/6618382","pdf_url":"https://downloads.hindawi.com/journals/complexity/2024/6618382.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://downloads.hindawi.com/journals/complexity/2024/6618382.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100573262","display_name":"Weishuai Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weishuai Wu","raw_affiliation_strings":["Institute of Modern Circuits and Intelligent Information, Hangzhou Dianzi University, Hangzhou 310018, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Modern Circuits and Intelligent Information, Hangzhou Dianzi University, Hangzhou 310018, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043802577","display_name":"Yujiao Dong","orcid":"https://orcid.org/0000-0002-1920-9678"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yujiao Dong","raw_affiliation_strings":["Institute of Modern Circuits and Intelligent Information, Hangzhou Dianzi University, Hangzhou 310018, China"],"raw_orcid":"https://orcid.org/0000-0002-1920-9678","affiliations":[{"raw_affiliation_string":"Institute of Modern Circuits and Intelligent Information, Hangzhou Dianzi University, Hangzhou 310018, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065201073","display_name":"Guangyi Wang","orcid":"https://orcid.org/0000-0002-6777-8234"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangyi Wang","raw_affiliation_strings":["Institute of Modern Circuits and Intelligent Information, Hangzhou Dianzi University, Hangzhou 310018, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Modern Circuits and Intelligent Information, Hangzhou Dianzi University, Hangzhou 310018, China","institution_ids":["https://openalex.org/I50760025"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5043802577"],"corresponding_institution_ids":["https://openalex.org/I50760025"],"apc_list":{"value":2300,"currency":"USD","value_usd":2300},"apc_paid":{"value":2300,"currency":"USD","value_usd":2300},"fwci":3.3331,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.93348389,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"2024","issue":null,"first_page":"1","last_page":"18"},"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":0.9952999949455261,"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":0.9951000213623047,"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":0.7110888957977295},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5928176045417786},{"id":"https://openalex.org/keywords/chaotic-map","display_name":"Chaotic map","score":0.5739216804504395},{"id":"https://openalex.org/keywords/chaotic","display_name":"Chaotic","score":0.5543401837348938},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5490570068359375},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.52849942445755},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.5103899836540222},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.47323334217071533},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45995891094207764},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4374500811100006},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38065576553344727},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33010542392730713},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.2449144423007965},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.11365005373954773}],"concepts":[{"id":"https://openalex.org/C150817343","wikidata":"https://www.wikidata.org/wiki/Q875932","display_name":"Digital watermarking","level":3,"score":0.7110888957977295},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5928176045417786},{"id":"https://openalex.org/C2983793180","wikidata":"https://www.wikidata.org/wiki/Q166314","display_name":"Chaotic map","level":3,"score":0.5739216804504395},{"id":"https://openalex.org/C2777052490","wikidata":"https://www.wikidata.org/wiki/Q5072826","display_name":"Chaotic","level":2,"score":0.5543401837348938},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5490570068359375},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.52849942445755},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.5103899836540222},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.47323334217071533},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45995891094207764},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4374500811100006},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38065576553344727},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33010542392730713},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.2449144423007965},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.11365005373954773}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1155/2024/6618382","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2024/6618382","pdf_url":"https://downloads.hindawi.com/journals/complexity/2024/6618382.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:hin:complx:6618382","is_oa":false,"landing_page_url":"http://downloads.hindawi.com/journals/complexity/2024/6618382.xml","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"pmh:oai:doaj.org/article:191bc8e773fa48cf858beeb057faf000","is_oa":true,"landing_page_url":"https://doaj.org/article/191bc8e773fa48cf858beeb057faf000","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Complexity, Vol 2024 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2024/6618382","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2024/6618382","pdf_url":"https://downloads.hindawi.com/journals/complexity/2024/6618382.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3245287717","display_name":null,"funder_award_id":"61771176","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G3575917597","display_name":null,"funder_award_id":"LQ23F010018","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4245132902","display_name":null,"funder_award_id":"61771176","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G696833915","display_name":null,"funder_award_id":"LQ23F010018","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4396914411.pdf"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W2028197392","https://openalex.org/W2208096094","https://openalex.org/W2598684819","https://openalex.org/W2611790385","https://openalex.org/W2966046943","https://openalex.org/W2991531878","https://openalex.org/W3008936423","https://openalex.org/W3016541707","https://openalex.org/W3087630949","https://openalex.org/W3099557286","https://openalex.org/W3109222419","https://openalex.org/W3120383396","https://openalex.org/W3120487911","https://openalex.org/W3120924630","https://openalex.org/W3133291842","https://openalex.org/W3137963221","https://openalex.org/W3138618072","https://openalex.org/W3141804651","https://openalex.org/W3153024946","https://openalex.org/W3158061257","https://openalex.org/W3159188675","https://openalex.org/W3159578031","https://openalex.org/W3161133142","https://openalex.org/W3199303234","https://openalex.org/W3203222604","https://openalex.org/W3206254086","https://openalex.org/W3214450931","https://openalex.org/W3214793094","https://openalex.org/W4200067699","https://openalex.org/W4200257401","https://openalex.org/W4214851787","https://openalex.org/W4224441943","https://openalex.org/W4229032325","https://openalex.org/W4285600964","https://openalex.org/W4293221284","https://openalex.org/W4293339484","https://openalex.org/W4294382913","https://openalex.org/W4306835021","https://openalex.org/W4306954561","https://openalex.org/W4307816509","https://openalex.org/W4307955547","https://openalex.org/W4308390370","https://openalex.org/W4308799513","https://openalex.org/W4312197525","https://openalex.org/W4313594959","https://openalex.org/W4319310739","https://openalex.org/W4377101066","https://openalex.org/W4379662007","https://openalex.org/W4387865847","https://openalex.org/W4389751739"],"related_works":["https://openalex.org/W2137394636","https://openalex.org/W2155762682","https://openalex.org/W2080482078","https://openalex.org/W2380035304","https://openalex.org/W2393587766","https://openalex.org/W1627362987","https://openalex.org/W1485575252","https://openalex.org/W3207953639","https://openalex.org/W2360233907","https://openalex.org/W4389063581"],"abstract_inverted_index":{"The":[0,140],"existing":[1],"watermarking":[2,22,42],"algorithms":[3],"make":[4],"it":[5],"difficult":[6],"to":[7,64,86,124,192],"balance":[8],"the":[9,14,66,71,74,78,87,93,97,100,110,113,126,130,136,145,149,154,161,220],"invisibility":[10,98,170],"and":[11,34,135,187],"robustness":[12],"of":[13,73,99,112,129,148,199],"watermark.":[15],"This":[16,37,57],"paper":[17],"proposes":[18],"a":[19,40,45,103,106],"robust":[20],"image":[21,115,132,152],"method":[23,38],"based":[24],"on":[25,174],"discrete":[26],"wavelet":[27],"transform":[28],"(DWT),":[29],"singular":[30,146,157],"value":[31],"decomposition":[32],"(SVD),":[33],"chaotic":[35,46,54],"maps.":[36],"is":[39,49,59,81,121],"semiblind":[41],"method.":[43],"First,":[44],"logistic-tent":[47],"map":[48,58],"introduced,":[50],"employing":[51],"an":[52,169],"extensive":[53],"parameter":[55],"domain.":[56],"amalgamated":[60],"with":[61,102,210],"Arnold\u2019s":[62],"transformation":[63],"encrypt":[65],"watermark":[67,75,118,138,151,162],"image,":[68],"thereby":[69,159],"bolstering":[70],"security":[72],"information.":[76],"Subsequently,":[77],"frequency":[79,94],"domain":[80,95],"obtained":[82],"by":[83],"applying":[84],"DWT":[85,111,134],"carrier":[88,114,131,155,176],"image.":[89,139],"Embedding":[90],"watermarks":[91],"in":[92,202],"ensures":[96],"watermark,":[101],"preference":[104],"for":[105,116],"high-frequency":[107,127],"subband":[108,128],"after":[109,133],"enhanced":[117],"robustness.":[119,229],"SVD":[120],"then":[122],"applied":[123],"both":[125],"encrypted":[137,150],"final":[141],"step":[142],"involves":[143],"embedding":[144,164],"values":[147,183,206,215],"into":[153],"image\u2019s":[156],"values,":[158],"completing":[160],"information":[163],"process.":[165],"In":[166,218],"simulation":[167],"experiments,":[168],"test":[171],"was":[172],"conducted":[173],"various":[175,197],"images,":[177],"yielding":[178],"peak":[179],"signal-to-noise":[180],"ratio":[181],"(PSNR)":[182],"consistently":[184,207],"exceeding":[185],"43,":[186],"structural":[188],"similarity":[189],"(SSIM)":[190],"close":[191],"1.":[193],"Robustness":[194],"testing":[195],"against":[196],"types":[198],"attacks":[200],"resulted":[201],"normalized":[203],"correlation":[204],"(NC)":[205],"surpassing":[208],"0.9,":[209],"bit":[211],"error":[212],"rate":[213],"(BER)":[214],"approaching":[216],"0.":[217],"conclusion,":[219],"proposed":[221],"algorithm":[222],"satisfies":[223],"imperceptibility":[224],"requirements":[225],"while":[226],"demonstrating":[227],"formidable":[228]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":10}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}