{"id":"https://openalex.org/W2920955969","doi":"https://doi.org/10.1142/s0218001419540399","title":"A Steganography Embedding Method Based on Hamming Coding and Histogram-Preserving","display_name":"A Steganography Embedding Method Based on Hamming Coding and Histogram-Preserving","publication_year":2019,"publication_date":"2019-03-15","ids":{"openalex":"https://openalex.org/W2920955969","doi":"https://doi.org/10.1142/s0218001419540399","mag":"2920955969"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001419540399","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001419540399","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","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/A5100713427","display_name":"Yafeng Li","orcid":"https://orcid.org/0000-0003-0952-6378"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]},{"id":"https://openalex.org/I4210131756","display_name":"Zhejiang Business Technology Institute","ror":"https://ror.org/03yh3e798","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ya-Feng Li","raw_affiliation_strings":["College of Information Science and Engineering, Ningbo University, Ningbo, P. R. China","Zhejiang Business Technology Institute, Ningbo, P. R. China"],"raw_orcid":"https://orcid.org/0000-0003-0952-6378","affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Ningbo University, Ningbo, P. R. China","institution_ids":["https://openalex.org/I109935558"]},{"raw_affiliation_string":"Zhejiang Business Technology Institute, Ningbo, P. R. China","institution_ids":["https://openalex.org/I4210131756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100828879","display_name":"Yang Ren-er","orcid":null},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ren-Er Yang","raw_affiliation_strings":["College of Information Science and Engineering, Ningbo University, Ningbo, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Ningbo University, Ningbo, P. R. China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069518751","display_name":"Jie Cheng","orcid":"https://orcid.org/0000-0002-0838-0090"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Cheng","raw_affiliation_strings":["College of Information Science and Engineering, Ningbo University, Ningbo, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Ningbo University, Ningbo, P. R. China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066326897","display_name":"Hong-Zhu Dai","orcid":null},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong-Zhu Dai","raw_affiliation_strings":["College of Information Science and Engineering, Ningbo University, Ningbo, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Ningbo University, Ningbo, P. R. China","institution_ids":["https://openalex.org/I109935558"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0993,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.39719413,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"33","issue":"14","first_page":"1954039","last_page":"1954039"},"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":0.9986000061035156,"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":0.9979000091552734,"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/steganography","display_name":"Steganography","score":0.8511460423469543},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.7686007618904114},{"id":"https://openalex.org/keywords/hamming-distance","display_name":"Hamming distance","score":0.6682378053665161},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6416510939598083},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6340882778167725},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6007314920425415},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5644485354423523},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5341936945915222},{"id":"https://openalex.org/keywords/hamming-code","display_name":"Hamming code","score":0.5157297253608704},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3650319576263428},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.313146710395813},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.26196470856666565},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.18234941363334656},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.11536642909049988},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.088080495595932},{"id":"https://openalex.org/keywords/block-code","display_name":"Block code","score":0.07905030250549316}],"concepts":[{"id":"https://openalex.org/C108801101","wikidata":"https://www.wikidata.org/wiki/Q15032","display_name":"Steganography","level":3,"score":0.8511460423469543},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.7686007618904114},{"id":"https://openalex.org/C193319292","wikidata":"https://www.wikidata.org/wiki/Q272172","display_name":"Hamming distance","level":2,"score":0.6682378053665161},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6416510939598083},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6340882778167725},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6007314920425415},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5644485354423523},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5341936945915222},{"id":"https://openalex.org/C73150493","wikidata":"https://www.wikidata.org/wiki/Q853922","display_name":"Hamming code","level":4,"score":0.5157297253608704},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3650319576263428},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.313146710395813},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.26196470856666565},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.18234941363334656},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.11536642909049988},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.088080495595932},{"id":"https://openalex.org/C157125643","wikidata":"https://www.wikidata.org/wiki/Q884707","display_name":"Block code","level":3,"score":0.07905030250549316}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001419540399","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001419540399","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W116957433","https://openalex.org/W1482218439","https://openalex.org/W1538338419","https://openalex.org/W1589812914","https://openalex.org/W1606480398","https://openalex.org/W1760530029","https://openalex.org/W1923663304","https://openalex.org/W1998058925","https://openalex.org/W2111900533","https://openalex.org/W2123849779","https://openalex.org/W2124890704","https://openalex.org/W2134527668","https://openalex.org/W2148808559","https://openalex.org/W2156941587","https://openalex.org/W2168130291","https://openalex.org/W2280796276","https://openalex.org/W2551431705","https://openalex.org/W2567092197","https://openalex.org/W2732365374","https://openalex.org/W2747222428","https://openalex.org/W2794624153","https://openalex.org/W2795393336","https://openalex.org/W2886068146","https://openalex.org/W2888964232","https://openalex.org/W3112629115","https://openalex.org/W3194222616","https://openalex.org/W4253000688","https://openalex.org/W4253920039"],"related_works":["https://openalex.org/W2888523677","https://openalex.org/W2789172049","https://openalex.org/W2124103726","https://openalex.org/W2374976492","https://openalex.org/W2017585159","https://openalex.org/W2188952389","https://openalex.org/W2318845877","https://openalex.org/W1527357896","https://openalex.org/W2374706008","https://openalex.org/W2045151258","https://openalex.org/W2005641982","https://openalex.org/W2407137051","https://openalex.org/W1968836930","https://openalex.org/W2287867354","https://openalex.org/W2080347598","https://openalex.org/W2157310789","https://openalex.org/W3006182333","https://openalex.org/W2603762743","https://openalex.org/W1495690538","https://openalex.org/W121238726"],"abstract_inverted_index":{"This":[0],"paper":[1,137],"proposes":[2],"an":[3],"information":[4,30,85,108],"hiding":[5,29,109],"algorithm":[6,36,76,155,171],"using":[7],"matrix":[8,38],"embedding":[9,39],"with":[10,40],"Hamming":[11,41],"codes":[12,42],"and":[13,27,53,56,79,88,106,151],"histogram":[14,21,95,100,117,141],"preservation":[15],"in":[16,31,135,174],"order":[17],"to":[18,43,64,144],"keep":[19,139],"the":[20,23,35,45,49,59,65,91,99,103,116,132,140,154,170],"of":[22,48,67,83,94,102,115,153,177],"image":[24,104],"unchanged":[25],"before":[26,105],"after":[28,107,120],"digital":[32],"media.":[33],"First,":[34],"uses":[37],"determine":[44],"rewriting":[46],"bits":[47],"original":[50],"image,":[51],"rewrite":[52],"flip":[54],"them,":[55],"successfully":[57],"embed":[58],"secret":[60,84],"information.":[61],"Then,":[62],"according":[63],"idea":[66],"a":[68,71,130],"break-even":[69],"point,":[70],"balanced":[72],"pixel":[73],"frequency":[74],"adaptive":[75],"is":[77,86,110],"proposed":[78,134],"each":[80],"embedded":[81],"bit":[82,93],"detected":[87],"compensated":[89],"by":[90,158],"adjacent":[92],"data,":[96],"so":[97],"that":[98,169],"change":[101],"minimized.":[111],"At":[112],"present,":[113],"most":[114],"distortion":[118,142],"values":[119,143],"steganography":[121],"are":[122,156],"generally":[123],"over":[124],"1000":[125],"or":[126],"even":[127],"higher.":[128],"As":[129],"contrast,":[131],"method":[133],"this":[136],"can":[138],"be":[145],"less":[146],"than":[147],"1000.":[148],"The":[149,164],"feasibility":[150],"effectiveness":[152],"verified":[157],"relative":[159],"entropy":[160],"analysis":[161],"as":[162],"well.":[163],"experimental":[165],"results":[166],"also":[167],"show":[168],"performs":[172],"well":[173],"steganographic":[175],"analyses":[176],"images.":[178]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}