{"id":"https://openalex.org/W3161577134","doi":"https://doi.org/10.1109/lsp.2021.3080181","title":"High Precision Error Prediction Algorithm Based on Ridge Regression Predictor for Reversible Data Hiding","display_name":"High Precision Error Prediction Algorithm Based on Ridge Regression Predictor for Reversible Data Hiding","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3161577134","doi":"https://doi.org/10.1109/lsp.2021.3080181","mag":"3161577134"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2021.3080181","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2021.3080181","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/A5100357616","display_name":"Xiaoyu Wang","orcid":"https://orcid.org/0000-0002-7030-4291"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyu Wang","raw_affiliation_strings":["School of Information Science & Technology, Dalian Maritime University, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0002-7030-4291","affiliations":[{"raw_affiliation_string":"School of Information Science & Technology, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100680478","display_name":"Xingyuan Wang","orcid":"https://orcid.org/0000-0002-9724-0152"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingyuan Wang","raw_affiliation_strings":["School of Information Science & Technology, Dalian Maritime University, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0002-9724-0152","affiliations":[{"raw_affiliation_string":"School of Information Science & Technology, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100749734","display_name":"Bin Ma","orcid":"https://orcid.org/0000-0002-9030-7393"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Ma","raw_affiliation_strings":["School of Cyber Security, Qilu University of Technology, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0002-9030-7393","affiliations":[{"raw_affiliation_string":"School of Cyber Security, Qilu University of Technology, Jinan, China","institution_ids":["https://openalex.org/I152269853"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100350153","display_name":"Qi Li","orcid":"https://orcid.org/0000-0001-7729-1422"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Li","raw_affiliation_strings":["School of Information Science & Technology, Dalian Maritime University, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0001-7729-1422","affiliations":[{"raw_affiliation_string":"School of Information Science & Technology, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111876760","display_name":"Yun-Qing Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yun-Qing Shi","raw_affiliation_strings":["Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ, USA","institution_ids":["https://openalex.org/I118118575"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.5391,"has_fulltext":false,"cited_by_count":119,"citation_normalized_percentile":{"value":0.98636155,"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":"1125","last_page":"1129"},"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":0.9976999759674072,"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":0.9876000285148621,"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/overfitting","display_name":"Overfitting","score":0.6591382026672363},{"id":"https://openalex.org/keywords/elastic-net-regularization","display_name":"Elastic net regularization","score":0.5896801352500916},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5571592450141907},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5549399256706238},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.54837965965271},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5482257008552551},{"id":"https://openalex.org/keywords/information-hiding","display_name":"Information hiding","score":0.5109776258468628},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5038360953330994},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.48750039935112},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.4625944495201111},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.4285103678703308},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4211418926715851},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4138965308666229},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34640181064605713},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.27252113819122314},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.19832241535186768}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.6591382026672363},{"id":"https://openalex.org/C203868755","wikidata":"https://www.wikidata.org/wiki/Q5353562","display_name":"Elastic net regularization","level":3,"score":0.5896801352500916},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5571592450141907},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5549399256706238},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.54837965965271},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5482257008552551},{"id":"https://openalex.org/C3073032","wikidata":"https://www.wikidata.org/wiki/Q15912075","display_name":"Information hiding","level":3,"score":0.5109776258468628},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5038360953330994},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.48750039935112},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4625944495201111},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.4285103678703308},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4211418926715851},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4138965308666229},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34640181064605713},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.27252113819122314},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.19832241535186768},{"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/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2021.3080181","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2021.3080181","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/G521762806","display_name":"\u57fa\u4e8e\u5e03\u5c14\u91cf\u5316\u7684\u57fa\u56e0\u8c03\u63a7\u7f51\u7edc\u5efa\u6a21\u4e0e\u52a8\u529b\u5b66\u7814\u7a76","funder_award_id":"61672124","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G699590998","display_name":null,"funder_award_id":"61872203","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8147635778","display_name":null,"funder_award_id":"61802212","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1974641035","https://openalex.org/W2012684236","https://openalex.org/W2068142860","https://openalex.org/W2087293550","https://openalex.org/W2106950225","https://openalex.org/W2121393355","https://openalex.org/W2135459805","https://openalex.org/W2137288380","https://openalex.org/W2153638435","https://openalex.org/W2167436768","https://openalex.org/W2183964636","https://openalex.org/W2359175208","https://openalex.org/W2403682575","https://openalex.org/W2494244364","https://openalex.org/W2560016511","https://openalex.org/W2804853849","https://openalex.org/W2933776034","https://openalex.org/W2968690135","https://openalex.org/W3027507161","https://openalex.org/W3111585419"],"related_works":["https://openalex.org/W4362597605","https://openalex.org/W1574414179","https://openalex.org/W4297676672","https://openalex.org/W3009056573","https://openalex.org/W2922073769","https://openalex.org/W4281702477","https://openalex.org/W4213314600","https://openalex.org/W3190769222","https://openalex.org/W2769668853","https://openalex.org/W32138105"],"abstract_inverted_index":{"An":[0],"efficient":[1],"predictor":[2,54,84],"is":[3,28,33],"crucial":[4],"for":[5,24],"high":[6,19],"embedding":[7,150],"capacity":[8],"and":[9,63,110,119,149],"low":[10],"image":[11],"distortion.":[12],"In":[13,100],"this":[14],"letter,":[15],"a":[16,34,78,97],"ridge":[17,31,52,82],"regression-based":[18,83],"precision":[20],"error":[21],"prediction":[22,89,129,147],"algorithm":[23],"reversible":[25,141],"data":[26,48,142],"hiding":[27,49,143],"proposed.":[29],"The":[30],"regression":[32,53],"penalized":[35],"least-square":[36,45],"algorithm,":[37],"which":[38],"solves":[39],"the":[40,44,56,68,74,81,93,102,107,128,135],"overfitting":[41],"problem":[42],"of":[43,59,73,106,146],"method.":[46],"Reversible":[47],"based":[50],"on":[51],"minimizes":[55],"residual":[57],"sum":[58],"squares":[60],"between":[61],"predicted":[62],"target":[64,108],"pixels":[65,105,109],"subject":[66],"to":[67,77],"constraint":[69],"expressed":[70],"in":[71,144],"terms":[72,145],"L2-norm.":[75],"Compared":[76],"least-square-based":[79],"predictor,":[80],"can":[85],"obtain":[86],"more":[87],"small":[88],"errors,":[90],"proving":[91],"that":[92,134],"proposed":[94,136],"method":[95,137],"has":[96],"higher":[98],"accuracy.":[99,130],"addition,":[101],"eight":[103],"neighbor":[104],"their":[111],"two":[112],"different":[113],"combinations":[114],"are":[115],"selected":[116],"as":[117],"training":[118],"support":[120],"sets,":[121],"respectively.":[122],"This":[123],"selection":[124],"scheme":[125],"further":[126],"improves":[127],"Experimental":[131],"results":[132],"show":[133],"outperforms":[138],"state-of-the-art":[139],"adaptive":[140],"accuracy":[148],"performance.":[151]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":19},{"year":2023,"cited_by_count":39},{"year":2022,"cited_by_count":29},{"year":2021,"cited_by_count":7}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}