{"id":"https://openalex.org/W2515547341","doi":"https://doi.org/10.1109/icip.2016.7532856","title":"A new reversible data hiding scheme exploiting high-dimensional prediction-error histogram","display_name":"A new reversible data hiding scheme exploiting high-dimensional prediction-error histogram","publication_year":2016,"publication_date":"2016-08-17","ids":{"openalex":"https://openalex.org/W2515547341","doi":"https://doi.org/10.1109/icip.2016.7532856","mag":"2515547341"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2016.7532856","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7532856","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","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/A5034942986","display_name":"Siren Cai","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Siren Cai","raw_affiliation_strings":["Institute of Computer Science and Technology, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Science and Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100371548","display_name":"Xiaolong Li","orcid":"https://orcid.org/0000-0002-6111-9000"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolong Li","raw_affiliation_strings":["Institute of Computer Science and Technology, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Science and Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100761525","display_name":"Jiaying Liu","orcid":"https://orcid.org/0000-0002-0468-9576"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaying Liu","raw_affiliation_strings":["Institute of Computer Science and Technology, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Science and Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001396675","display_name":"Zongming Guo","orcid":"https://orcid.org/0000-0002-4944-9621"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongming Guo","raw_affiliation_strings":["Institute of Computer Science and Technology, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Science and Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5034942986"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":1.169,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.85263564,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"20","issue":null,"first_page":"2732","last_page":"2736"},"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":0.9959999918937683,"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":0.9932000041007996,"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/pairwise-comparison","display_name":"Pairwise comparison","score":0.9409582614898682},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.7950390577316284},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.7212430238723755},{"id":"https://openalex.org/keywords/mean-squared-prediction-error","display_name":"Mean squared prediction error","score":0.6228102445602417},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5873015522956848},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.58656907081604},{"id":"https://openalex.org/keywords/information-hiding","display_name":"Information hiding","score":0.49527040123939514},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4704034924507141},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4099922478199005},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3440524935722351},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3406522870063782}],"concepts":[{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.9409582614898682},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.7950390577316284},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.7212430238723755},{"id":"https://openalex.org/C167085575","wikidata":"https://www.wikidata.org/wiki/Q6803654","display_name":"Mean squared prediction error","level":2,"score":0.6228102445602417},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5873015522956848},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.58656907081604},{"id":"https://openalex.org/C3073032","wikidata":"https://www.wikidata.org/wiki/Q15912075","display_name":"Information hiding","level":3,"score":0.49527040123939514},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4704034924507141},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4099922478199005},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3440524935722351},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3406522870063782}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2016.7532856","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7532856","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1570710652","https://openalex.org/W1829653235","https://openalex.org/W1875944832","https://openalex.org/W1974641035","https://openalex.org/W1980644670","https://openalex.org/W1989953416","https://openalex.org/W1990337861","https://openalex.org/W1993277608","https://openalex.org/W1993364002","https://openalex.org/W2012684236","https://openalex.org/W2032158084","https://openalex.org/W2039758953","https://openalex.org/W2046337005","https://openalex.org/W2046448991","https://openalex.org/W2056340285","https://openalex.org/W2066178754","https://openalex.org/W2078607543","https://openalex.org/W2087293550","https://openalex.org/W2101472062","https://openalex.org/W2106950225","https://openalex.org/W2115924904","https://openalex.org/W2117314358","https://openalex.org/W2121393355","https://openalex.org/W2123218196","https://openalex.org/W2132971215","https://openalex.org/W2135459805","https://openalex.org/W2137288380","https://openalex.org/W2140226570","https://openalex.org/W2142181334","https://openalex.org/W2144088652","https://openalex.org/W2148351147","https://openalex.org/W2152185406","https://openalex.org/W2158986121","https://openalex.org/W2159026792","https://openalex.org/W2167436768","https://openalex.org/W2209131361","https://openalex.org/W6638529953","https://openalex.org/W6675093851","https://openalex.org/W6683208330"],"related_works":["https://openalex.org/W2052838852","https://openalex.org/W2168959081","https://openalex.org/W3190769222","https://openalex.org/W2052231930","https://openalex.org/W1968265719","https://openalex.org/W2092582715","https://openalex.org/W2769668853","https://openalex.org/W2376223597","https://openalex.org/W3028462381","https://openalex.org/W2107754525"],"abstract_inverted_index":{"Pairwise":[0],"prediction-error":[1,45,66,75],"expansion":[2],"(pairwise":[3],"PEE)":[4],"is":[5,36,55,62,69,80,104,112,130,137],"an":[6,138],"improvement":[7],"of":[8,52,102,110,118,141,146],"the":[9,27,32,50,84,96,100,108,116,144],"conventional":[10],"PEE":[11,24,40,54,111,123,142],"and":[12,57,95,107,124],"it":[13],"can":[14],"provide":[15],"excellent":[16],"performance":[17,109],"for":[18],"reversible":[19,90,98],"data":[20,78],"hiding":[21],"(RDH).":[22],"Unlike":[23],"in":[25,38],"which":[26],"prediction-errors":[28,35,103],"are":[29],"modified":[30],"individually,":[31],"correlation":[33],"among":[34],"exploited":[37],"pairwise":[39,53,122],"by":[41,71,82],"jointly":[42],"modifying":[43,83],"each":[44],"pair.":[46],"In":[47],"this":[48],"paper,":[49],"idea":[51],"developed":[56],"a":[58,87],"new":[59],"RDH":[60,128],"scheme":[61],"proposed.":[63],"A":[64],"three-dimensional":[65],"histogram":[67,148],"(3D-PEH)":[68],"generated":[70],"counting":[72],"every":[73],"non-overlapped":[74],"triple.":[76],"Then,":[77],"embedding":[79],"conducted":[81],"3D-PEH":[85,94],"with":[86],"specifically":[88],"designed":[89],"mapping.":[91],"By":[92],"using":[93],"proposed":[97,135],"mapping,":[99],"inter-correlation":[101],"better":[105],"exploited,":[106],"significantly":[113],"enhanced.":[114],"Moreover,":[115],"superiority":[117],"our":[119],"method":[120,136],"over":[121],"some":[125],"other":[126],"state-of-the-art":[127],"methods":[129],"also":[131],"experimentally":[132],"verified.":[133],"The":[134],"effective":[139],"extension":[140],"towards":[143],"direction":[145],"high-dimensional":[147],"modification.":[149]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
