{"id":"https://openalex.org/W2547810891","doi":"https://doi.org/10.1109/icacci.2016.7732337","title":"Multilevel RDH scheme using image interpolation","display_name":"Multilevel RDH scheme using image interpolation","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2547810891","doi":"https://doi.org/10.1109/icacci.2016.7732337","mag":"2547810891"},"language":"en","primary_location":{"id":"doi:10.1109/icacci.2016.7732337","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2016.7732337","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","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/A5063037974","display_name":"R. Geetha","orcid":null},"institutions":[{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"R. Geetha","raw_affiliation_strings":["Research Scholar- SENSE VIT University, Chennai Campus Chennai, Tamilnadu, India"],"affiliations":[{"raw_affiliation_string":"Research Scholar- SENSE VIT University, Chennai Campus Chennai, Tamilnadu, India","institution_ids":["https://openalex.org/I876193797"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032629337","display_name":"S. Geetha","orcid":"https://orcid.org/0000-0002-6850-9423"},"institutions":[{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S Geetha","raw_affiliation_strings":["SCSE VIT University, Chennai Campus Chennai, Tamilnadu, India"],"affiliations":[{"raw_affiliation_string":"SCSE VIT University, Chennai Campus Chennai, Tamilnadu, India","institution_ids":["https://openalex.org/I876193797"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5063037974"],"corresponding_institution_ids":["https://openalex.org/I876193797"],"apc_list":null,"apc_paid":null,"fwci":0.167,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.58126773,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"5","issue":null,"first_page":"1952","last_page":"1956"},"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/T11017","display_name":"Chaos-based Image/Signal Encryption","score":0.9983999729156494,"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":0.998199999332428,"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/payload","display_name":"Payload (computing)","score":0.7390460968017578},{"id":"https://openalex.org/keywords/cover","display_name":"Cover (algebra)","score":0.6415897011756897},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5857776999473572},{"id":"https://openalex.org/keywords/image-scaling","display_name":"Image scaling","score":0.5703673362731934},{"id":"https://openalex.org/keywords/information-hiding","display_name":"Information hiding","score":0.5687484741210938},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.5607180595397949},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.558834433555603},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5574999451637268},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5532655715942383},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.549323320388794},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5233252048492432},{"id":"https://openalex.org/keywords/feature-detection","display_name":"Feature detection (computer vision)","score":0.4867672920227051},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.47396013140678406},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.4370593726634979},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4299353361129761},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4254707098007202},{"id":"https://openalex.org/keywords/peak-signal-to-noise-ratio","display_name":"Peak signal-to-noise ratio","score":0.4160953462123871},{"id":"https://openalex.org/keywords/digital-image","display_name":"Digital image","score":0.4142276346683502},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.0823768675327301}],"concepts":[{"id":"https://openalex.org/C134066672","wikidata":"https://www.wikidata.org/wiki/Q1424639","display_name":"Payload (computing)","level":3,"score":0.7390460968017578},{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.6415897011756897},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5857776999473572},{"id":"https://openalex.org/C27405340","wikidata":"https://www.wikidata.org/wiki/Q440296","display_name":"Image scaling","level":4,"score":0.5703673362731934},{"id":"https://openalex.org/C3073032","wikidata":"https://www.wikidata.org/wiki/Q15912075","display_name":"Information hiding","level":3,"score":0.5687484741210938},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.5607180595397949},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.558834433555603},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5574999451637268},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5532655715942383},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.549323320388794},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5233252048492432},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.4867672920227051},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.47396013140678406},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.4370593726634979},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4299353361129761},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4254707098007202},{"id":"https://openalex.org/C154579607","wikidata":"https://www.wikidata.org/wiki/Q3373850","display_name":"Peak signal-to-noise ratio","level":3,"score":0.4160953462123871},{"id":"https://openalex.org/C42781572","wikidata":"https://www.wikidata.org/wiki/Q1250322","display_name":"Digital image","level":4,"score":0.4142276346683502},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0823768675327301},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"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/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icacci.2016.7732337","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2016.7732337","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1976573565","https://openalex.org/W1997244559","https://openalex.org/W2040164026","https://openalex.org/W2054621758","https://openalex.org/W2056340285","https://openalex.org/W2058539732","https://openalex.org/W2070482985","https://openalex.org/W2081812782","https://openalex.org/W2084782561","https://openalex.org/W2103459202","https://openalex.org/W2106950225","https://openalex.org/W2107903197","https://openalex.org/W2115924904","https://openalex.org/W2121036560","https://openalex.org/W2121393355","https://openalex.org/W2135202325","https://openalex.org/W2135459805","https://openalex.org/W2144088652","https://openalex.org/W2146913416","https://openalex.org/W2151092698","https://openalex.org/W2156497968","https://openalex.org/W2158986121","https://openalex.org/W2159026792","https://openalex.org/W6676294414","https://openalex.org/W6681303059","https://openalex.org/W6683235957"],"related_works":["https://openalex.org/W2363373050","https://openalex.org/W2081812782","https://openalex.org/W4389682345","https://openalex.org/W2022868031","https://openalex.org/W3028970697","https://openalex.org/W2015044011","https://openalex.org/W4220785324","https://openalex.org/W4211167461","https://openalex.org/W3200694817","https://openalex.org/W2357739391"],"abstract_inverted_index":{"In":[0,25,89],"image":[1,3,35,53,77,129,145],"processing,":[2],"interpolation":[4],"is":[5,16,133,146,164],"considered":[6],"to":[7,43,139,166],"be":[8,37,59,79,102],"a":[9],"very":[10,17],"important":[11],"branch":[12],"of":[13,27,50,67,98,111,175,181],"study.":[14],"It":[15],"popularly":[18],"used":[19],"in":[20,86,104,115,125,142,173],"the":[21,33,44,48,51,55,62,68,72,75,83,87,90,105,116,121,127,131,135,143,150,167,182],"digital":[22],"imaging":[23],"processes.":[24],"case":[26],"Reversible":[28],"Data":[29],"Hiding":[30],"(RDH)":[31],"process,":[32],"cover":[34,76,128],"can":[36,58,78,101],"scaled":[38],"up":[39],"or":[40],"down":[41],"according":[42],"requirement":[45],"without":[46],"compromising":[47],"originality":[49],"input":[52],"and":[54,130,178],"secret":[56,69],"data":[57,70],"hidden":[60],"into":[61],"interpolated":[63,84],"image.":[64,88],"After":[65],"extraction":[66],"at":[71],"receiver's":[73],"end,":[74],"recovered":[80],"by":[81,155],"discarding":[82],"points":[85,152],"proposed":[91],"scheme,":[92],"more":[93],"than":[94],"one":[95],"bit":[96],"(maximum":[97],"4":[99],"bits)":[100],"embedded":[103],"same":[106],"pixel,":[107],"only":[108,154],"with":[109],"maximum":[110],"\u00b11":[112],"value":[113],"change":[114,153],"pixel":[117],"value.":[118],"Even":[119],"though":[120],"additional":[122],"information":[123],"involved":[124],"restoring":[126],"payload":[132,176],"more,":[134],"distortion":[136],"(Peak":[137],"Signal":[138],"Noise":[140],"Ratio-PSNR)":[141],"marked":[144],"kept":[147],"minimal":[148],"since":[149],"embeddable":[151],"\u00b11.":[156],"The":[157],"experimental":[158],"results":[159],"show":[160],"that":[161],"this":[162],"scheme":[163],"superior":[165],"available":[168],"imageinterpolation":[169],"based":[170],"RDH":[171],"schemes":[172],"terms":[174],"capacity":[177],"perceptual":[179],"quality":[180],"images.":[183]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
