{"id":"https://openalex.org/W2594085527","doi":"https://doi.org/10.1109/lsp.2017.2679043","title":"High-Fidelity Reversible Data Hiding Using Directionally Enclosed Prediction","display_name":"High-Fidelity Reversible Data Hiding Using Directionally Enclosed Prediction","publication_year":2017,"publication_date":"2017-03-07","ids":{"openalex":"https://openalex.org/W2594085527","doi":"https://doi.org/10.1109/lsp.2017.2679043","mag":"2594085527"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2017.2679043","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2017.2679043","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/A5101597914","display_name":"Haishan Chen","orcid":"https://orcid.org/0000-0003-1759-4004"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haishan Chen","raw_affiliation_strings":["School of Electronics and Information Engineering, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039213686","display_name":"Jiangqun Ni","orcid":"https://orcid.org/0000-0002-7520-9031"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiangqun Ni","raw_affiliation_strings":["School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051928752","display_name":"Wien Hong","orcid":"https://orcid.org/0000-0002-2873-0190"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wien Hong","raw_affiliation_strings":["Nanfang College of Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Nanfang College of Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070790321","display_name":"Tung-Shou Chen","orcid":"https://orcid.org/0000-0002-5307-1043"},"institutions":[{"id":"https://openalex.org/I131948415","display_name":"National Taichung University of Science and Technology","ror":"https://ror.org/05bgcav40","country_code":"TW","type":"education","lineage":["https://openalex.org/I131948415"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Tung-Shou Chen","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Taichung University of Science and Technology, Taichung, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Taichung University of Science and Technology, Taichung, Taiwan","institution_ids":["https://openalex.org/I131948415"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101597914"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":3.5499,"has_fulltext":false,"cited_by_count":79,"citation_normalized_percentile":{"value":0.95847282,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"24","issue":"5","first_page":"574","last_page":"578"},"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":0.9966999888420105,"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":0.991599977016449,"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/pixel","display_name":"Pixel","score":0.8096956014633179},{"id":"https://openalex.org/keywords/payload","display_name":"Payload (computing)","score":0.7986910939216614},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6652759313583374},{"id":"https://openalex.org/keywords/information-hiding","display_name":"Information hiding","score":0.6579628586769104},{"id":"https://openalex.org/keywords/sorting","display_name":"Sorting","score":0.6416151523590088},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6388286352157593},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.5761663913726807},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.5512890219688416},{"id":"https://openalex.org/keywords/arithmetic-underflow","display_name":"Arithmetic underflow","score":0.5432563424110413},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47541624307632446},{"id":"https://openalex.org/keywords/mean-squared-prediction-error","display_name":"Mean squared prediction error","score":0.44922131299972534},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4254140853881836},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3900984525680542},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36525124311447144},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3283769190311432},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.09437435865402222},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07916462421417236}],"concepts":[{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.8096956014633179},{"id":"https://openalex.org/C134066672","wikidata":"https://www.wikidata.org/wiki/Q1424639","display_name":"Payload (computing)","level":3,"score":0.7986910939216614},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6652759313583374},{"id":"https://openalex.org/C3073032","wikidata":"https://www.wikidata.org/wiki/Q15912075","display_name":"Information hiding","level":3,"score":0.6579628586769104},{"id":"https://openalex.org/C111696304","wikidata":"https://www.wikidata.org/wiki/Q2303697","display_name":"Sorting","level":2,"score":0.6416151523590088},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6388286352157593},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.5761663913726807},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.5512890219688416},{"id":"https://openalex.org/C3265923","wikidata":"https://www.wikidata.org/wiki/Q669129","display_name":"Arithmetic underflow","level":2,"score":0.5432563424110413},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47541624307632446},{"id":"https://openalex.org/C167085575","wikidata":"https://www.wikidata.org/wiki/Q6803654","display_name":"Mean squared prediction error","level":2,"score":0.44922131299972534},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4254140853881836},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3900984525680542},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36525124311447144},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3283769190311432},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.09437435865402222},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07916462421417236},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2017.2679043","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2017.2679043","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/G6152548860","display_name":null,"funder_award_id":"61379156","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":19,"referenced_works":["https://openalex.org/W1570710652","https://openalex.org/W1974641035","https://openalex.org/W1980644670","https://openalex.org/W1981454723","https://openalex.org/W1987442454","https://openalex.org/W1990337861","https://openalex.org/W2039758953","https://openalex.org/W2046337005","https://openalex.org/W2053660047","https://openalex.org/W2055488442","https://openalex.org/W2066178754","https://openalex.org/W2067674530","https://openalex.org/W2105019220","https://openalex.org/W2106950225","https://openalex.org/W2144088652","https://openalex.org/W2167436768","https://openalex.org/W2296173415","https://openalex.org/W2403682575","https://openalex.org/W2544043488"],"related_works":["https://openalex.org/W2397949907","https://openalex.org/W1838720550","https://openalex.org/W2074587767","https://openalex.org/W2063809597","https://openalex.org/W3155443874","https://openalex.org/W2060995160","https://openalex.org/W2060486287","https://openalex.org/W2158986121","https://openalex.org/W1440607661","https://openalex.org/W3187648820"],"abstract_inverted_index":{"Recently,":[0],"a":[1,27,30,76,94,124,147],"number":[2],"of":[3,53],"high-fidelity":[4],"reversible":[5,107],"data":[6,108,112],"hiding":[7],"algorithms":[8],"have":[9],"been":[10],"developed":[11,104],"based":[12],"on":[13],"prediction-error":[14,54],"expansion":[15,99],"(PEE)":[16],"and":[17,98],"pixel":[18,37],"sorting.":[19],"In":[20,73],"PEE,":[21],"prediction":[22,97,137],"is":[23,44,56,80,88,102,114],"made":[24],"using":[25],"either":[26],"full-enclosed":[28,134],"or":[29,135],"half-enclosed":[31,136],"predictor.":[32],"While":[33],"in":[34,70],"PEE":[35],"with":[36,123],"sorting,":[38],"the":[39,51,60,84,133,142],"local":[40],"complexity":[41],"(LC),":[42],"which":[43],"usually":[45],"assumed":[46],"to":[47,50,58,82,91,116,121,132],"be":[48],"proportional":[49,90,125],"magnitude":[52],"(PE),":[55],"exploited":[57],"reduce":[59],"embedding":[61,113],"distortion.":[62],"However,":[63],"this":[64,74],"assumption":[65],"may":[66],"not":[67,89],"always":[68],"hold":[69],"all":[71],"conditions.":[72],"letter,":[75],"directional":[77],"enclosed":[78,96],"predictor":[79],"proposed":[81],"detect":[83],"locations":[85],"where":[86,118],"LC":[87,119],"PE.":[92],"And,":[93],"directionally":[95],"(DEPE)":[100],"scheme":[101],"then":[103],"for":[105],"efficient":[106],"hiding.":[109],"With":[110],"DEPE,":[111],"restricted":[115],"pixels":[117],"correlates":[120],"PE":[122],"relationship.":[126],"Experimental":[127],"results":[128],"show":[129],"that,":[130],"compared":[131],"schemes,":[138],"DEPE":[139],"significantly":[140],"improves":[141],"image":[143],"fidelity":[144],"while":[145],"providing":[146],"considerable":[148],"payload.":[149]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":18},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
