{"id":"https://openalex.org/W3130446996","doi":"https://doi.org/10.1109/lsp.2021.3059202","title":"CNN Prediction Based Reversible Data Hiding","display_name":"CNN Prediction Based Reversible Data Hiding","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3130446996","doi":"https://doi.org/10.1109/lsp.2021.3059202","mag":"3130446996"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2021.3059202","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2021.3059202","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"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 Signal Processing Letters","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/A5050720749","display_name":"Runwen Hu","orcid":"https://orcid.org/0000-0001-9104-3812"},"institutions":[{"id":"https://openalex.org/I159948400","display_name":"Jinan University","ror":"https://ror.org/02xe5ns62","country_code":"CN","type":"education","lineage":["https://openalex.org/I159948400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Runwen Hu","raw_affiliation_strings":["College of Information Science and Technology/College of Cyber Security, Jinan University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-9104-3812","affiliations":[{"raw_affiliation_string":"College of Information Science and Technology/College of Cyber Security, Jinan University, Guangzhou, China","institution_ids":["https://openalex.org/I159948400"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006519424","display_name":"Shijun Xiang","orcid":"https://orcid.org/0000-0002-3481-7057"},"institutions":[{"id":"https://openalex.org/I159948400","display_name":"Jinan University","ror":"https://ror.org/02xe5ns62","country_code":"CN","type":"education","lineage":["https://openalex.org/I159948400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shijun Xiang","raw_affiliation_strings":["College of Information Science and Technology/College of Cyber Security, Jinan University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-3481-7057","affiliations":[{"raw_affiliation_string":"College of Information Science and Technology/College of Cyber Security, Jinan University, Guangzhou, China","institution_ids":["https://openalex.org/I159948400"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I159948400"],"apc_list":null,"apc_paid":null,"fwci":6.9583,"has_fulltext":false,"cited_by_count":111,"citation_normalized_percentile":{"value":0.98062674,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"28","issue":null,"first_page":"464","last_page":"468"},"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":0.9995999932289124,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9929999709129333,"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/embedding","display_name":"Embedding","score":0.819105863571167},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7718034982681274},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6582612991333008},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6462899446487427},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5748050212860107},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5554677248001099},{"id":"https://openalex.org/keywords/information-hiding","display_name":"Information hiding","score":0.5542603135108948},{"id":"https://openalex.org/keywords/grayscale","display_name":"Grayscale","score":0.539180338382721},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5337657928466797},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5127002000808716},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4881013333797455},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.45417237281799316},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4523391127586365},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.26169633865356445}],"concepts":[{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.819105863571167},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7718034982681274},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6582612991333008},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6462899446487427},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5748050212860107},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5554677248001099},{"id":"https://openalex.org/C3073032","wikidata":"https://www.wikidata.org/wiki/Q15912075","display_name":"Information hiding","level":3,"score":0.5542603135108948},{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.539180338382721},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5337657928466797},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5127002000808716},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4881013333797455},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.45417237281799316},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4523391127586365},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.26169633865356445},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2021.3059202","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2021.3059202","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"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 Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3665717824","display_name":"\u540c\u6001\u52a0\u5bc6\u57df\u53ef\u9006\u6570\u636e\u9690\u85cf\u65b0\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61772234","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1570710652","https://openalex.org/W1889994414","https://openalex.org/W1899185266","https://openalex.org/W1945093115","https://openalex.org/W1974641035","https://openalex.org/W1990962661","https://openalex.org/W2032158084","https://openalex.org/W2087293550","https://openalex.org/W2106950225","https://openalex.org/W2108598243","https://openalex.org/W2112796928","https://openalex.org/W2115924904","https://openalex.org/W2121036560","https://openalex.org/W2121393355","https://openalex.org/W2130752051","https://openalex.org/W2135459805","https://openalex.org/W2144088652","https://openalex.org/W2167436768","https://openalex.org/W2194775991","https://openalex.org/W2314396998","https://openalex.org/W2403682575","https://openalex.org/W2556967412","https://openalex.org/W2594085527","https://openalex.org/W2890991392","https://openalex.org/W2924564788","https://openalex.org/W2949846184","https://openalex.org/W2955425717","https://openalex.org/W2963125010","https://openalex.org/W2963446712","https://openalex.org/W2963996492","https://openalex.org/W2964121744","https://openalex.org/W2993989702","https://openalex.org/W6631190155","https://openalex.org/W6639927594","https://openalex.org/W6729983426"],"related_works":["https://openalex.org/W2052838852","https://openalex.org/W2168959081","https://openalex.org/W2052231930","https://openalex.org/W3190769222","https://openalex.org/W1555939286","https://openalex.org/W2339449039","https://openalex.org/W2092582715","https://openalex.org/W2769668853","https://openalex.org/W2376223597","https://openalex.org/W3028462381"],"abstract_inverted_index":{"How":[0],"to":[1,38,110],"predict":[2,39],"images":[3,78],"is":[4,50],"an":[5],"important":[6],"issue":[7],"in":[8,116,139],"the":[9,40,57,99,112,117,124],"reversible":[10],"data":[11,44],"hiding":[12],"(RDH)":[13],"community.":[14],"In":[15],"this":[16,93],"letter,":[17],"we":[18,84,120],"propose":[19,85],"a":[20,28,51,86],"novel":[21],"CNN-based":[22],"prediction":[23,113],"approach":[24],"by":[25,75],"luminously":[26],"dividing":[27],"grayscale":[29],"image":[30],"into":[31],"two":[32,87],"sets":[33],"and":[34,53,63,73,130],"applying":[35],"one":[36],"set":[37,42],"other":[41],"for":[43,92],"embedding.":[45],"The":[46],"proposed":[47],"CNN":[48,67,100,125],"predictor":[49,68,101,126],"lightweight":[52],"computation-efficient":[54],"network":[55],"with":[56,127,141],"capabilities":[58],"of":[59,89,106],"multi":[60],"receptive":[61],"fields":[62],"global":[64],"optimization.":[65],"This":[66],"can":[69,102,134],"be":[70],"trained":[71],"quickly":[72],"well":[74],"using":[76],"1000":[77],"randomly":[79],"selected":[80],"from":[81],"ImageNet.":[82],"Furthermore,":[83,115],"stages":[88],"embedding":[90,129,137],"scheme":[91],"predictor.":[94],"Experimental":[95],"results":[96],"show":[97],"that":[98,123],"make":[103],"full":[104],"use":[105],"more":[107],"surrounding":[108],"pixels":[109],"promote":[111],"performance.":[114],"experimental":[118],"way":[119],"have":[121],"shown":[122],"expansion":[128],"histogram":[131],"shifting":[132],"techniques":[133],"provide":[135],"better":[136],"performance":[138],"comparison":[140],"those":[142],"classical":[143],"linear":[144],"predictors.":[145]},"counts_by_year":[{"year":2026,"cited_by_count":13},{"year":2025,"cited_by_count":21},{"year":2024,"cited_by_count":27},{"year":2023,"cited_by_count":24},{"year":2022,"cited_by_count":18},{"year":2021,"cited_by_count":8}],"updated_date":"2026-07-18T07:39:51.176621","created_date":"2025-10-10T00:00:00"}