{"id":"https://openalex.org/W4283268017","doi":"https://doi.org/10.1109/meco55406.2022.9797168","title":"Steganographic Information Hiding Method Based on Double Wavelet Transform","display_name":"Steganographic Information Hiding Method Based on Double Wavelet Transform","publication_year":2022,"publication_date":"2022-06-07","ids":{"openalex":"https://openalex.org/W4283268017","doi":"https://doi.org/10.1109/meco55406.2022.9797168"},"language":"en","primary_location":{"id":"doi:10.1109/meco55406.2022.9797168","is_oa":false,"landing_page_url":"https://doi.org/10.1109/meco55406.2022.9797168","pdf_url":null,"source":{"id":"https://openalex.org/S4363608204","display_name":"2022 11th Mediterranean Conference on Embedded Computing (MECO)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 11th Mediterranean Conference on Embedded Computing (MECO)","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/A5072315533","display_name":"Vladmir Varuikhin","orcid":null},"institutions":[{"id":"https://openalex.org/I41518628","display_name":"Saint Petersburg State Electrotechnical University","ror":"https://ror.org/023bq8521","country_code":"RU","type":"education","lineage":["https://openalex.org/I41518628"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Vladmir Varuikhin","raw_affiliation_strings":["Saint Petersburg Electrotechnical University &#x201C;LETI&#x201D;,Saint-Petersburg,Russian Federation,197376"],"affiliations":[{"raw_affiliation_string":"Saint Petersburg Electrotechnical University &#x201C;LETI&#x201D;,Saint-Petersburg,Russian Federation,197376","institution_ids":["https://openalex.org/I41518628"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041254605","display_name":"\u0410\u043b\u043b\u0430 \u041b\u0435\u0432\u0438\u043d\u0430","orcid":"https://orcid.org/0000-0003-4421-2411"},"institutions":[{"id":"https://openalex.org/I41518628","display_name":"Saint Petersburg State Electrotechnical University","ror":"https://ror.org/023bq8521","country_code":"RU","type":"education","lineage":["https://openalex.org/I41518628"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Alla Levina","raw_affiliation_strings":["Saint Petersburg Electrotechnical University &#x201C;LETI&#x201D;,Saint-Petersburg,Russian Federation,197376"],"affiliations":[{"raw_affiliation_string":"Saint Petersburg Electrotechnical University &#x201C;LETI&#x201D;,Saint-Petersburg,Russian Federation,197376","institution_ids":["https://openalex.org/I41518628"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5072315533"],"corresponding_institution_ids":["https://openalex.org/I41518628"],"apc_list":null,"apc_paid":null,"fwci":0.1199,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.3866391,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"2","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":0.9998000264167786,"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":0.9998000264167786,"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":0.9961000084877014,"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":0.9937000274658203,"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/steganography","display_name":"Steganography","score":0.7762939929962158},{"id":"https://openalex.org/keywords/information-hiding","display_name":"Information hiding","score":0.7157599925994873},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7104299664497375},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.6346507668495178},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.6017423272132874},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5421806573867798},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.538866400718689},{"id":"https://openalex.org/keywords/second-generation-wavelet-transform","display_name":"Second-generation wavelet transform","score":0.5190737843513489},{"id":"https://openalex.org/keywords/jpeg","display_name":"JPEG","score":0.5098463892936707},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4759516417980194},{"id":"https://openalex.org/keywords/stationary-wavelet-transform","display_name":"Stationary wavelet transform","score":0.46007922291755676},{"id":"https://openalex.org/keywords/wavelet-packet-decomposition","display_name":"Wavelet packet decomposition","score":0.4496484398841858},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43992286920547485},{"id":"https://openalex.org/keywords/transform-coding","display_name":"Transform coding","score":0.42215496301651},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3588937819004059},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34055501222610474},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.198203444480896}],"concepts":[{"id":"https://openalex.org/C108801101","wikidata":"https://www.wikidata.org/wiki/Q15032","display_name":"Steganography","level":3,"score":0.7762939929962158},{"id":"https://openalex.org/C3073032","wikidata":"https://www.wikidata.org/wiki/Q15912075","display_name":"Information hiding","level":3,"score":0.7157599925994873},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7104299664497375},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.6346507668495178},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.6017423272132874},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5421806573867798},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.538866400718689},{"id":"https://openalex.org/C111350171","wikidata":"https://www.wikidata.org/wiki/Q7443700","display_name":"Second-generation wavelet transform","level":5,"score":0.5190737843513489},{"id":"https://openalex.org/C198751489","wikidata":"https://www.wikidata.org/wiki/Q2195","display_name":"JPEG","level":3,"score":0.5098463892936707},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4759516417980194},{"id":"https://openalex.org/C73339587","wikidata":"https://www.wikidata.org/wiki/Q1375942","display_name":"Stationary wavelet transform","level":5,"score":0.46007922291755676},{"id":"https://openalex.org/C155777637","wikidata":"https://www.wikidata.org/wiki/Q2736187","display_name":"Wavelet packet decomposition","level":4,"score":0.4496484398841858},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43992286920547485},{"id":"https://openalex.org/C169805256","wikidata":"https://www.wikidata.org/wiki/Q1361381","display_name":"Transform coding","level":4,"score":0.42215496301651},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3588937819004059},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34055501222610474},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.198203444480896}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/meco55406.2022.9797168","is_oa":false,"landing_page_url":"https://doi.org/10.1109/meco55406.2022.9797168","pdf_url":null,"source":{"id":"https://openalex.org/S4363608204","display_name":"2022 11th Mediterranean Conference on Embedded Computing (MECO)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 11th Mediterranean Conference on Embedded Computing (MECO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322733","display_name":"Ministerstwo Edukacji i Nauki","ror":"https://ror.org/05dwvd537"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2060662910","https://openalex.org/W2151510247","https://openalex.org/W2277490076","https://openalex.org/W2313282526","https://openalex.org/W2509677396","https://openalex.org/W2967537753","https://openalex.org/W2974653583","https://openalex.org/W3040696790","https://openalex.org/W4238136161"],"related_works":["https://openalex.org/W1588899229","https://openalex.org/W2367209744","https://openalex.org/W2059234650","https://openalex.org/W1976022598","https://openalex.org/W2386482837","https://openalex.org/W1967182499","https://openalex.org/W2085792030","https://openalex.org/W2023142747","https://openalex.org/W2114308541","https://openalex.org/W4321517526"],"abstract_inverted_index":{"The":[0,35,53],"article":[1,54],"presents":[2],"a":[3,23,30,47],"new":[4],"method":[5,21,40],"of":[6,9,25,38,46,59,70],"steganographic":[7],"embedding":[8],"confidential":[10],"information":[11],"into":[12],"an":[13],"image":[14],"based":[15,28],"on":[16,29,43],"double":[17],"wavelet":[18,33],"transform.":[19,34],"This":[20],"is":[22,41],"continuation":[24],"previous":[26],"studies":[27],"one-level":[31],"discrete":[32],"practical":[36],"implementation":[37],"this":[39],"demonstrated":[42],"the":[44,56,60,63,68,71],"example":[45],"graphic":[48],"file":[49],"in":[50],"JPEG":[51],"format.":[52],"shows":[55],"theoretical":[57],"substantiation":[58],"presented":[61],"method,":[62],"data":[64],"hiding":[65],"algorithm":[66],"and":[67],"analysis":[69],"research":[72],"results.":[73]},"counts_by_year":[{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
