{"id":"https://openalex.org/W4327807882","doi":"https://doi.org/10.1109/access.2023.3258461","title":"Reversible Data Hiding Method for Interpolated Images Based on Modulo Operation and Prediction-Error Expansion","display_name":"Reversible Data Hiding Method for Interpolated Images Based on Modulo Operation and Prediction-Error Expansion","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4327807882","doi":"https://doi.org/10.1109/access.2023.3258461"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3258461","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3258461","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10075440.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10075440.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103207723","display_name":"Mengting Fan","orcid":"https://orcid.org/0009-0006-4221-923X"},"institutions":[{"id":"https://openalex.org/I154893126","display_name":"Guizhou Normal University","ror":"https://ror.org/02x1pa065","country_code":"CN","type":"education","lineage":["https://openalex.org/I154893126"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengting Fan","raw_affiliation_strings":["School of Big Data and Computer Science, Guizhou Normal University, Guiyang, China"],"raw_orcid":"https://orcid.org/0009-0006-4221-923X","affiliations":[{"raw_affiliation_string":"School of Big Data and Computer Science, Guizhou Normal University, Guiyang, China","institution_ids":["https://openalex.org/I154893126"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055627876","display_name":"Siyao Zhong","orcid":"https://orcid.org/0009-0003-0667-5084"},"institutions":[{"id":"https://openalex.org/I154893126","display_name":"Guizhou Normal University","ror":"https://ror.org/02x1pa065","country_code":"CN","type":"education","lineage":["https://openalex.org/I154893126"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siyao Zhong","raw_affiliation_strings":["School of Big Data and Computer Science, Guizhou Normal University, Guiyang, China"],"raw_orcid":"https://orcid.org/0009-0003-0667-5084","affiliations":[{"raw_affiliation_string":"School of Big Data and Computer Science, Guizhou Normal University, Guiyang, China","institution_ids":["https://openalex.org/I154893126"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072756266","display_name":"Xiangguang Xiong","orcid":"https://orcid.org/0000-0001-6604-9251"},"institutions":[{"id":"https://openalex.org/I154893126","display_name":"Guizhou Normal University","ror":"https://ror.org/02x1pa065","country_code":"CN","type":"education","lineage":["https://openalex.org/I154893126"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangguang Xiong","raw_affiliation_strings":["School of Big Data and Computer Science, Guizhou Normal University, Guiyang, China"],"raw_orcid":"https://orcid.org/0000-0001-6604-9251","affiliations":[{"raw_affiliation_string":"School of Big Data and Computer Science, Guizhou Normal University, Guiyang, China","institution_ids":["https://openalex.org/I154893126"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I154893126"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.0,"has_fulltext":true,"cited_by_count":27,"citation_normalized_percentile":{"value":0.92953068,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"11","issue":null,"first_page":"27290","last_page":"27302"},"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":0.9997000098228455,"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":0.9919000267982483,"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/arithmetic-underflow","display_name":"Arithmetic underflow","score":0.7329075932502747},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.7225989103317261},{"id":"https://openalex.org/keywords/image-scaling","display_name":"Image scaling","score":0.6809660196304321},{"id":"https://openalex.org/keywords/peak-signal-to-noise-ratio","display_name":"Peak signal-to-noise ratio","score":0.6286605596542358},{"id":"https://openalex.org/keywords/information-hiding","display_name":"Information hiding","score":0.6161015629768372},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.5508319735527039},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.5210263729095459},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5153791308403015},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5126096606254578},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.510891854763031},{"id":"https://openalex.org/keywords/grayscale","display_name":"Grayscale","score":0.5090703368186951},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.492397665977478},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4890638291835785},{"id":"https://openalex.org/keywords/bilinear-interpolation","display_name":"Bilinear interpolation","score":0.48658764362335205},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47262951731681824},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.44132593274116516},{"id":"https://openalex.org/keywords/modulo","display_name":"Modulo","score":0.43337365984916687},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.43204936385154724},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40246137976646423},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2461089789867401}],"concepts":[{"id":"https://openalex.org/C3265923","wikidata":"https://www.wikidata.org/wiki/Q669129","display_name":"Arithmetic underflow","level":2,"score":0.7329075932502747},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7225989103317261},{"id":"https://openalex.org/C27405340","wikidata":"https://www.wikidata.org/wiki/Q440296","display_name":"Image scaling","level":4,"score":0.6809660196304321},{"id":"https://openalex.org/C154579607","wikidata":"https://www.wikidata.org/wiki/Q3373850","display_name":"Peak signal-to-noise ratio","level":3,"score":0.6286605596542358},{"id":"https://openalex.org/C3073032","wikidata":"https://www.wikidata.org/wiki/Q15912075","display_name":"Information hiding","level":3,"score":0.6161015629768372},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.5508319735527039},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5210263729095459},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5153791308403015},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5126096606254578},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.510891854763031},{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.5090703368186951},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.492397665977478},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4890638291835785},{"id":"https://openalex.org/C205203396","wikidata":"https://www.wikidata.org/wiki/Q612143","display_name":"Bilinear interpolation","level":2,"score":0.48658764362335205},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47262951731681824},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.44132593274116516},{"id":"https://openalex.org/C54732982","wikidata":"https://www.wikidata.org/wiki/Q1415345","display_name":"Modulo","level":2,"score":0.43337365984916687},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.43204936385154724},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40246137976646423},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2461089789867401},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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},{"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/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3258461","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3258461","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10075440.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:fdeed012e10f491ab97060cf903c3fcb","is_oa":true,"landing_page_url":"https://doaj.org/article/fdeed012e10f491ab97060cf903c3fcb","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 27290-27302 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3258461","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3258461","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10075440.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/6","score":0.6299999952316284,"display_name":"Clean water and sanitation"}],"awards":[{"id":"https://openalex.org/G2182879512","display_name":null,"funder_award_id":"2021[310]","funder_id":"https://openalex.org/F4320326674","funder_display_name":"Department of Education of Guizhou Province"},{"id":"https://openalex.org/G504744885","display_name":null,"funder_award_id":"ZK[2021] 316","funder_id":"https://openalex.org/F4320322272","funder_display_name":"Guizhou Science and Technology Department"}],"funders":[{"id":"https://openalex.org/F4320322272","display_name":"Guizhou Science and Technology Department","ror":"https://ror.org/00kwnh405"},{"id":"https://openalex.org/F4320326674","display_name":"Department of Education of Guizhou Province","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4327807882.pdf","grobid_xml":"https://content.openalex.org/works/W4327807882.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W1570710652","https://openalex.org/W1974641035","https://openalex.org/W1990337861","https://openalex.org/W2011074127","https://openalex.org/W2024288803","https://openalex.org/W2054621758","https://openalex.org/W2081812782","https://openalex.org/W2087293550","https://openalex.org/W2121036560","https://openalex.org/W2121393355","https://openalex.org/W2135459805","https://openalex.org/W2144088652","https://openalex.org/W2152185406","https://openalex.org/W2167436768","https://openalex.org/W2196548689","https://openalex.org/W2612336565","https://openalex.org/W2805809149","https://openalex.org/W2883464819","https://openalex.org/W2899516348","https://openalex.org/W2945338307","https://openalex.org/W2974540470","https://openalex.org/W3007902904","https://openalex.org/W3025009420","https://openalex.org/W3049530924","https://openalex.org/W3081499688","https://openalex.org/W3088845203","https://openalex.org/W3105318587","https://openalex.org/W3106981148","https://openalex.org/W3109798957","https://openalex.org/W3138869859","https://openalex.org/W3139035088","https://openalex.org/W3202864468","https://openalex.org/W4206696389","https://openalex.org/W4220874145"],"related_works":["https://openalex.org/W2397949907","https://openalex.org/W1838720550","https://openalex.org/W2074587767","https://openalex.org/W2063809597","https://openalex.org/W2060995160","https://openalex.org/W2060486287","https://openalex.org/W2158986121","https://openalex.org/W1440607661","https://openalex.org/W3187648820","https://openalex.org/W2160028400"],"abstract_inverted_index":{"Image":[0],"reversible":[1],"data":[2,63,92,147],"hiding":[3],"(RDH)":[4],"using":[5,98,106],"interpolation":[6,70],"technology":[7],"(IT)":[8],"provides":[9],"high":[10],"single-layer":[11],"embedding":[12,31,62,146,185],"capacity":[13],"and":[14,48,102,123,148,168,207],"has":[15,216],"become":[16],"a":[17],"research":[18],"hotspot.":[19],"To":[20],"solve":[21],"serious":[22],"image":[23,69,125,150,197],"distortion":[24,151],"in":[25],"existing":[26,56],"methods":[27,58,193],"caused":[28,144],"by":[29,145],"secondary":[30],"based":[32,44],"on":[33,45],"interpolated":[34,42,65,77,96],"pixels,":[35],"we":[36],"propose":[37],"an":[38,68,76],"RDH":[39,57],"method":[40,53,71,139,189,202,215],"for":[41,130],"images":[43,111,129],"modulo":[46,100],"operation":[47,101],"prediction-error":[49],"expansion":[50],"(PEE).":[51],"Our":[52],"differs":[54],"from":[55,119],"that":[59,136,212],"only":[60],"consider":[61],"into":[64,82,95,103],"pixels.":[66],"First,":[67],"is":[72,80,164,177],"used":[73],"to":[74,173],"generate":[75],"image,":[78,157],"which":[79],"partitioned":[81],"overlapping":[83],"3":[84,86],"\u00d7":[85,115],"blocks.":[87],"For":[88,153],"each":[89,154],"block,":[90],"secret":[91],"are":[93],"embedded":[94],"pixels":[97],"the":[99,107,120,137,158,169,183,187,195,200,208,213],"reference":[104],"pixel":[105,141,162],"PEE.":[108],"Standard":[109],"grayscale":[110],"of":[112],"size":[113],"512":[114,116],"were":[117],"selected":[118],"popular":[121],"BossBase":[122],"BOWS-2":[124],"databases":[126],"as":[127],"input":[128],"experiments.":[131],"Extensive":[132],"experimental":[133],"results":[134],"show":[135],"proposed":[138,188,201,214],"avoids":[140],"values":[142],"underflow/overflow":[143],"reduces":[149],"effectively.":[152],"standard":[155],"test":[156],"maximum":[159],"bits":[160],"per":[161],"(BPP)":[163],"higher":[165,178],"than":[166,179],"1.5,":[167],"corresponding":[170],"peak":[171],"signal":[172],"noise":[174],"ratio":[175],"(PSNR)":[176],"45.0":[180],"dB.":[181],"At":[182],"given":[184],"capacity,":[186],"outperforms":[190],"recent":[191],"similar":[192],"regarding":[194],"watermarked":[196],"quality.":[198],"Moreover,":[199],"can":[203],"resist":[204],"histogram":[205],"analysis,":[206],"subjective":[209],"evaluation":[210],"proves":[211],"good":[217],"imperceptibility.":[218]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":5}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
