{"id":"https://openalex.org/W3154128213","doi":"https://doi.org/10.3233/jifs-189877","title":"A robust and high capacity data hiding method for JPEG compressed images with SVD-based block selection and advanced error correcting techniques","display_name":"A robust and high capacity data hiding method for JPEG compressed images with SVD-based block selection and advanced error correcting techniques","publication_year":2021,"publication_date":"2021-04-07","ids":{"openalex":"https://openalex.org/W3154128213","doi":"https://doi.org/10.3233/jifs-189877","mag":"3154128213"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-189877","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-189877","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","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/A5028618528","display_name":"Kusan Biswas","orcid":"https://orcid.org/0000-0003-1225-7965"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Kusan Biswas","raw_affiliation_strings":["New Delhi, India"],"affiliations":[{"raw_affiliation_string":"New Delhi, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5028618528"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0961,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.35392157,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"41","issue":"5","first_page":"5571","last_page":"5581"},"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":0.9994999766349792,"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/T11017","display_name":"Chaos-based Image/Signal Encryption","score":0.9966999888420105,"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/computer-science","display_name":"Computer science","score":0.7576297521591187},{"id":"https://openalex.org/keywords/information-hiding","display_name":"Information hiding","score":0.6275054812431335},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6068859696388245},{"id":"https://openalex.org/keywords/jpeg","display_name":"JPEG","score":0.6043918132781982},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.5812759399414062},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.5392485857009888},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46873530745506287},{"id":"https://openalex.org/keywords/singular-value","display_name":"Singular value","score":0.46862319111824036},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46063339710235596},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.4483170509338379},{"id":"https://openalex.org/keywords/human-visual-system-model","display_name":"Human visual system model","score":0.4403670132160187},{"id":"https://openalex.org/keywords/payload","display_name":"Payload (computing)","score":0.41276848316192627},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3516669273376465},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.335452675819397},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.26488059759140015},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19280830025672913},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.09315887093544006},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.08394259214401245}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7576297521591187},{"id":"https://openalex.org/C3073032","wikidata":"https://www.wikidata.org/wiki/Q15912075","display_name":"Information hiding","level":3,"score":0.6275054812431335},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6068859696388245},{"id":"https://openalex.org/C198751489","wikidata":"https://www.wikidata.org/wiki/Q2195","display_name":"JPEG","level":3,"score":0.6043918132781982},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.5812759399414062},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.5392485857009888},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46873530745506287},{"id":"https://openalex.org/C109282560","wikidata":"https://www.wikidata.org/wiki/Q4166054","display_name":"Singular value","level":3,"score":0.46862319111824036},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46063339710235596},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.4483170509338379},{"id":"https://openalex.org/C160086991","wikidata":"https://www.wikidata.org/wiki/Q5939193","display_name":"Human visual system model","level":3,"score":0.4403670132160187},{"id":"https://openalex.org/C134066672","wikidata":"https://www.wikidata.org/wiki/Q1424639","display_name":"Payload (computing)","level":3,"score":0.41276848316192627},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3516669273376465},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.335452675819397},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.26488059759140015},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19280830025672913},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.09315887093544006},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.08394259214401245},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-189877","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-189877","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W6526339","https://openalex.org/W1568574635","https://openalex.org/W1970303434","https://openalex.org/W2020804487","https://openalex.org/W2041560266","https://openalex.org/W2084582105","https://openalex.org/W2119411189","https://openalex.org/W2121606987","https://openalex.org/W2133665775","https://openalex.org/W2135202325","https://openalex.org/W2139101243","https://openalex.org/W2146621575","https://openalex.org/W2148808559","https://openalex.org/W2159390040","https://openalex.org/W2168502427","https://openalex.org/W2561233344","https://openalex.org/W2727309130","https://openalex.org/W2886883742","https://openalex.org/W2910225346","https://openalex.org/W2945700761","https://openalex.org/W2986160990","https://openalex.org/W3030928236"],"related_works":["https://openalex.org/W2128686060","https://openalex.org/W1992543307","https://openalex.org/W3120375068","https://openalex.org/W3018889089","https://openalex.org/W3011350172","https://openalex.org/W1539829946","https://openalex.org/W2593310500","https://openalex.org/W2389889513","https://openalex.org/W2382167365","https://openalex.org/W2087721684"],"abstract_inverted_index":{"In":[0,58],"this":[1,59],"paper,":[2],"we":[3,61,74,105],"propose":[4,62],"a":[5,63,118],"frequency":[6],"domain":[7],"data":[8,20,83,91,113],"hiding":[9],"method":[10,18,158],"for":[11],"the":[12,22,26,34,52,56,76,89,149,156,173,179],"JPEG":[13],"compressed":[14],"images.":[15],"The":[16,111],"proposed":[17,119,157,177],"embeds":[19],"in":[21,51,136,178],"DCT":[23],"coefficients":[24],"of":[25,36,48,55,121,127,138,172],"selected":[27],"8":[28,30,78,80],"\u00d7":[29,79],"blocks.":[31],"According":[32],"to":[33,46,87,100,147],"theories":[35],"Human":[37],"Visual":[38],"Systems":[39],"(HVS),":[40],"human":[41],"vision":[42],"is":[43,115,125,153,167],"less":[44],"sensitive":[45],"perturbation":[47],"pixel":[49],"values":[50],"uneven":[53],"areas":[54],"image.":[57],"paper":[60],"Singular":[64],"Value":[65],"Decomposition":[66],"based":[67],"image":[68],"roughness":[69],"measure":[70],"(SVD-IRM)":[71],"using":[72,117],"which":[73],"select":[75],"coarse":[77],"blocks":[81],"as":[82],"embedding":[84,114,128],"destinations.":[85],"Moreover,":[86],"make":[88],"embedded":[90],"more":[92,168],"robust":[93,169],"against":[94],"re-compression":[95],"attack":[96],"and":[97,151,163,166],"error":[98,108],"due":[99],"transmission":[101],"over":[102],"noisy":[103],"channels,":[104],"employ":[106],"Turbo":[107],"correcting":[109],"codes.":[110],"actual":[112],"done":[116],"variant":[120],"matrix":[122],"encoding":[123],"that":[124,155],"capable":[126],"three":[129],"bits":[130],"by":[131],"modifying":[132],"only":[133],"one":[134],"bit":[135],"block":[137],"seven":[139],"carrier":[140],"features.":[141],"We":[142],"have":[143],"carried":[144],"out":[145],"experiments":[146],"validate":[148],"performance":[150],"it":[152],"found":[154],"achieves":[159],"better":[160],"payload":[161],"capacity":[162],"visual":[164],"quality":[165],"than":[170],"some":[171],"recent":[174],"state-of-the-art":[175],"methods":[176],"literature.":[180]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
