{"id":"https://openalex.org/W2763709683","doi":"https://doi.org/10.1504/ijics.2017.10008444","title":"Data hiding using lifting scheme and genetic algorithm","display_name":"Data hiding using lifting scheme and genetic algorithm","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2763709683","doi":"https://doi.org/10.1504/ijics.2017.10008444","mag":"2763709683"},"language":"en","primary_location":{"id":"doi:10.1504/ijics.2017.10008444","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijics.2017.10008444","pdf_url":null,"source":{"id":"https://openalex.org/S85012289","display_name":"International Journal of Information and Computer Security","issn_l":"1744-1765","issn":["1744-1765","1744-1773"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Information and Computer Security","raw_type":"journal-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/A5100655760","display_name":"Kulbir Singh","orcid":"https://orcid.org/0000-0001-8070-3395"},"institutions":[{"id":"https://openalex.org/I162030827","display_name":"Thapar Institute of Engineering & Technology","ror":"https://ror.org/00wdq3744","country_code":"IN","type":"education","lineage":["https://openalex.org/I162030827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Kulbir Singh","raw_affiliation_strings":["Department of Electronics and Communication Engineering, Thapar University, Patiala, 147004, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, Thapar University, Patiala, 147004, India","institution_ids":["https://openalex.org/I162030827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037362484","display_name":"S. S. Bhatia","orcid":"https://orcid.org/0000-0002-2184-2528"},"institutions":[{"id":"https://openalex.org/I162030827","display_name":"Thapar Institute of Engineering & Technology","ror":"https://ror.org/00wdq3744","country_code":"IN","type":"education","lineage":["https://openalex.org/I162030827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Satvinder Bhatia","raw_affiliation_strings":["School of Mathematics, Thapar University, Patiala, 147004, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics, Thapar University, Patiala, 147004, India","institution_ids":["https://openalex.org/I162030827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048587049","display_name":"Geeta Kasana","orcid":null},"institutions":[{"id":"https://openalex.org/I162030827","display_name":"Thapar Institute of Engineering & Technology","ror":"https://ror.org/00wdq3744","country_code":"IN","type":"education","lineage":["https://openalex.org/I162030827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Geeta Kasana","raw_affiliation_strings":["Department of Computer Science and Engineering, Thapar University, Patiala, 147004, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Thapar University, Patiala, 147004, India","institution_ids":["https://openalex.org/I162030827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I162030827"],"apc_list":null,"apc_paid":null,"fwci":0.0902,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.4707463,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"9","issue":"4","first_page":"271","last_page":"271"},"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9979000091552734,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9911999702453613,"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/peak-signal-to-noise-ratio","display_name":"Peak signal-to-noise ratio","score":0.7394815683364868},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6447135210037231},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6403389573097229},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6376127004623413},{"id":"https://openalex.org/keywords/cover","display_name":"Cover (algebra)","score":0.5960379838943481},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5935397744178772},{"id":"https://openalex.org/keywords/information-hiding","display_name":"Information hiding","score":0.516214907169342},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.4970391094684601},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.4530853033065796},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4463309049606323},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.43283066153526306},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.4320200979709625},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42650774121284485},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.4057618975639343},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4037505090236664},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2800561189651489}],"concepts":[{"id":"https://openalex.org/C154579607","wikidata":"https://www.wikidata.org/wiki/Q3373850","display_name":"Peak signal-to-noise ratio","level":3,"score":0.7394815683364868},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6447135210037231},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6403389573097229},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6376127004623413},{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.5960379838943481},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5935397744178772},{"id":"https://openalex.org/C3073032","wikidata":"https://www.wikidata.org/wiki/Q15912075","display_name":"Information hiding","level":3,"score":0.516214907169342},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.4970391094684601},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.4530853033065796},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4463309049606323},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.43283066153526306},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4320200979709625},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42650774121284485},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.4057618975639343},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4037505090236664},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2800561189651489},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1504/ijics.2017.10008444","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijics.2017.10008444","pdf_url":null,"source":{"id":"https://openalex.org/S85012289","display_name":"International Journal of Information and Computer Security","issn_l":"1744-1765","issn":["1744-1765","1744-1773"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Information and Computer Security","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2170577885","https://openalex.org/W2081900870","https://openalex.org/W2351909370","https://openalex.org/W2187037044","https://openalex.org/W3190769222","https://openalex.org/W2769668853","https://openalex.org/W2015044011","https://openalex.org/W4220785324","https://openalex.org/W2536957989","https://openalex.org/W2624424083"],"abstract_inverted_index":{"In":[0,47],"this":[1,48,85],"paper,":[2],"data":[3,133],"hiding":[4,134],"algorithm":[5,12,78,119],"by":[6],"using":[7],"lifting":[8],"scheme":[9,35],"and":[10,72,79,105,124],"genetic":[11],"(GA)":[13],"has":[14,19],"been":[15,20,147],"proposed.":[16],"Arnold":[17],"transform":[18],"used":[21,69,82,90],"to":[22,27,42,83,91,98,149],"scramble":[23],"the":[24,29,39,44,76,93,131,138,141,152],"secret":[25,32,51,112],"image":[26,41,52,104],"secure":[28],"extraction":[30],"of":[31,59,61,75,95,102,110,127,140],"image.":[33,63,113],"Lifting":[34],"is":[36,53,68,81,89,154],"applied":[37],"on":[38],"cover":[40,62],"get":[43],"wavelet":[45,57],"subbands.":[46],"algorithm,":[49,143],"scrambled":[50],"embedded":[54],"into":[55],"significant":[56],"coefficients":[58],"subbands":[60],"Scaling":[64],"factor":[65],"(SF)":[66],"parameter":[67],"in":[70],"embedding":[71,122],"extracting":[73],"process":[74],"proposed":[77,118,142],"GA":[80],"optimise":[84],"parameter.":[86],"This":[87],"optimisation":[88],"maximise":[92],"value":[94],"peak":[96],"signal":[97],"noise":[99],"ratio":[100],"(PSNR)":[101],"composite":[103,128],"similarity":[106],"index":[107],"modulation":[108],"(SIM)":[109],"extracted":[111],"Experimental":[114],"results":[115],"reveal":[116],"that":[117,151],"provides":[120],"high":[121],"capacity":[123],"better":[125],"quality":[126],"images":[129],"than":[130],"existing":[132],"techniques.":[135],"To":[136],"show":[137,150],"effectiveness":[139],"statistical":[144],"tests":[145],"have":[146],"performed":[148],"imperceptibility":[153],"maintained.":[155]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}