{"id":"https://openalex.org/W2804809630","doi":"https://doi.org/10.1109/tmm.2018.2838334","title":"Robust Coverless Image Steganography Based on DCT and LDA Topic Classification","display_name":"Robust Coverless Image Steganography Based on DCT and LDA Topic Classification","publication_year":2018,"publication_date":"2018-05-21","ids":{"openalex":"https://openalex.org/W2804809630","doi":"https://doi.org/10.1109/tmm.2018.2838334","mag":"2804809630"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2018.2838334","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2018.2838334","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Transactions on Multimedia","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/A5052625301","display_name":"Xiang Zhang","orcid":"https://orcid.org/0000-0002-0827-9443"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Zhang","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049120636","display_name":"Fei Peng","orcid":"https://orcid.org/0000-0001-8053-4587"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Peng","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0001-8053-4587","affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078874201","display_name":"Min Long","orcid":"https://orcid.org/0000-0002-1229-2317"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]},{"id":"https://openalex.org/I56934997","display_name":"Changsha University of Science and Technology","ror":"https://ror.org/03yph8055","country_code":"CN","type":"education","lineage":["https://openalex.org/I56934997"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Long","raw_affiliation_strings":["College of Computer and Communication Engineering, Changsha University of Science and Technology Hunan University, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Communication Engineering, Changsha University of Science and Technology Hunan University, Changsha, China","institution_ids":["https://openalex.org/I56934997","https://openalex.org/I16609230"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":9.7523,"has_fulltext":false,"cited_by_count":247,"citation_normalized_percentile":{"value":0.98520367,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"20","issue":"12","first_page":"3223","last_page":"3238"},"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":0.9979000091552734,"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"}},{"id":"https://openalex.org/T11017","display_name":"Chaos-based Image/Signal Encryption","score":0.9952999949455261,"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/steganalysis","display_name":"Steganalysis","score":0.9010785222053528},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6900791525840759},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.68919837474823},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6762349605560303},{"id":"https://openalex.org/keywords/steganography","display_name":"Steganography","score":0.660679042339325},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6476005911827087},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6329435706138611},{"id":"https://openalex.org/keywords/latent-dirichlet-allocation","display_name":"Latent Dirichlet allocation","score":0.4747065603733063},{"id":"https://openalex.org/keywords/binary-image","display_name":"Binary image","score":0.4711640775203705},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4628441035747528},{"id":"https://openalex.org/keywords/digital-watermarking","display_name":"Digital watermarking","score":0.4150613844394684},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.37043890357017517},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3653671145439148},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3265140652656555},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.15608817338943481}],"concepts":[{"id":"https://openalex.org/C107368093","wikidata":"https://www.wikidata.org/wiki/Q448176","display_name":"Steganalysis","level":4,"score":0.9010785222053528},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6900791525840759},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.68919837474823},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6762349605560303},{"id":"https://openalex.org/C108801101","wikidata":"https://www.wikidata.org/wiki/Q15032","display_name":"Steganography","level":3,"score":0.660679042339325},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6476005911827087},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6329435706138611},{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.4747065603733063},{"id":"https://openalex.org/C193828747","wikidata":"https://www.wikidata.org/wiki/Q864118","display_name":"Binary image","level":4,"score":0.4711640775203705},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4628441035747528},{"id":"https://openalex.org/C150817343","wikidata":"https://www.wikidata.org/wiki/Q875932","display_name":"Digital watermarking","level":3,"score":0.4150613844394684},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.37043890357017517},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3653671145439148},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3265140652656555},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.15608817338943481},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2018.2838334","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2018.2838334","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Transactions on Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4334699209","display_name":"\u6570\u5b57\u56fe\u50cf\u6210\u50cf\u6e20\u9053\u53d6\u8bc1\u7684\u975e\u7ebf\u6027\u673a\u7406\u53ca\u5e94\u7528\u7814\u7a76","funder_award_id":"61572182","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6292493239","display_name":"\u4e8c\u7ef4CAD\u56fe\u5f62\u53ef\u9006\u6c34\u5370\u7406\u8bba\u4e0e\u65b9\u6cd5\u7684\u7814\u7a76","funder_award_id":"61370225","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7083406625","display_name":null,"funder_award_id":"15JJ2007","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322843","display_name":"Natural Science Foundation of\u00a0Hunan Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":66,"referenced_works":["https://openalex.org/W1491518634","https://openalex.org/W1544932143","https://openalex.org/W1556531089","https://openalex.org/W1972291170","https://openalex.org/W1972506985","https://openalex.org/W1973020869","https://openalex.org/W1973110771","https://openalex.org/W1993364002","https://openalex.org/W2036954216","https://openalex.org/W2041195352","https://openalex.org/W2046423394","https://openalex.org/W2054834345","https://openalex.org/W2055625960","https://openalex.org/W2071451750","https://openalex.org/W2076117055","https://openalex.org/W2101900823","https://openalex.org/W2106661586","https://openalex.org/W2107465879","https://openalex.org/W2108598243","https://openalex.org/W2119605622","https://openalex.org/W2122948579","https://openalex.org/W2124664712","https://openalex.org/W2125549332","https://openalex.org/W2130971702","https://openalex.org/W2131602743","https://openalex.org/W2145072179","https://openalex.org/W2146621575","https://openalex.org/W2151103935","https://openalex.org/W2151346626","https://openalex.org/W2153199081","https://openalex.org/W2161969291","https://openalex.org/W2164587393","https://openalex.org/W2167667912","https://openalex.org/W2167999072","https://openalex.org/W2170598445","https://openalex.org/W2187183065","https://openalex.org/W2293269630","https://openalex.org/W2294087712","https://openalex.org/W2294426641","https://openalex.org/W2400363826","https://openalex.org/W2536890408","https://openalex.org/W2542146404","https://openalex.org/W2542290803","https://openalex.org/W2560392893","https://openalex.org/W2573437058","https://openalex.org/W2610586281","https://openalex.org/W2611264129","https://openalex.org/W2611268543","https://openalex.org/W2738643374","https://openalex.org/W2769144728","https://openalex.org/W3116755834","https://openalex.org/W4285719527","https://openalex.org/W6632544397","https://openalex.org/W6633472159","https://openalex.org/W6664640397","https://openalex.org/W6681554747","https://openalex.org/W6682192204","https://openalex.org/W6697044055","https://openalex.org/W6697540423","https://openalex.org/W6728758247","https://openalex.org/W6729166485","https://openalex.org/W6737250097","https://openalex.org/W6737399140","https://openalex.org/W6737846962","https://openalex.org/W6741757129","https://openalex.org/W6745708345"],"related_works":["https://openalex.org/W4243922849","https://openalex.org/W2939392096","https://openalex.org/W2148973528","https://openalex.org/W2930153478","https://openalex.org/W2106726851","https://openalex.org/W4309385482","https://openalex.org/W2040931326","https://openalex.org/W2792878404","https://openalex.org/W1583147569","https://openalex.org/W2068740952"],"abstract_inverted_index":{"In":[0,153],"order":[1],"to":[2,49,64,128,140,150,161,193,208,211],"improve":[3],"the":[4,42,46,74,81,90,102,108,122,129,136,141,151,154,162,171,176,198],"robustness":[5,185],"and":[6,23,54,96,117,121,167,182,190],"capability":[7],"of":[8,104,178,222],"resisting":[9],"image":[10,15,43,97,106,123,138,188,201],"steganalysis,":[11],"a":[12,114],"novel":[13],"coverless":[14,200],"steganography":[16,202],"algorithm":[17,173],"based":[18],"on":[19],"discrete":[20,59],"cosine":[21,60],"transform":[22,61],"latent":[24,33],"dirichlet":[25,34],"allocation":[26,35],"(LDA)":[27],"topic":[28,36,51],"classification":[29],"is":[30,38,62,71,99,111,133,159,206],"proposed.":[31],"First,":[32],"model":[37],"utilized":[39],"for":[40],"classifying":[41],"database.":[44],"Second,":[45],"images":[47,147],"belonging":[48],"one":[50],"are":[52,148],"selected,":[53],"8":[55,57],"\u00d7":[56],"block":[58],"performed":[63],"these":[65],"images.":[66,164],"Then":[67],"robust":[68],"feature":[69,91,125],"sequence":[70,116,126],"generated":[72],"through":[73],"relation":[75],"between":[76],"direct":[77],"current":[78],"coefficients":[79],"in":[80,219],"adjacent":[82],"blocks.":[83],"Finally,":[84],"an":[85],"inverted":[86],"index":[87],"which":[88],"contains":[89],"sequence,":[92],"dc,":[93],"location":[94],"coordinates,":[95],"path":[98],"created.":[100],"For":[101],"purpose":[103],"achieving":[105],"steganography,":[107],"secret":[109,130],"information":[110,131],"converted":[112],"into":[113,119],"binary":[115],"partitioned":[118],"segments,":[120],"whose":[124],"equals":[127],"segments":[132],"chosen":[134],"as":[135],"cover":[137,146],"according":[139],"index.":[142],"After":[143],"that,":[144],"all":[145],"sent":[149],"receiver.":[152],"whole":[155],"process,":[156],"no":[157],"modification":[158],"done":[160],"original":[163],"Experimental":[165],"results":[166],"analysis":[168],"show":[169],"that":[170],"proposed":[172],"can":[174],"resist":[175,194],"detection":[177],"existing":[179,199],"steganalysis":[180,195],"algorithms,":[181],"has":[183,215],"better":[184,191],"against":[186],"common":[187],"processing":[189],"ability":[192],"compared":[196],"with":[197],"algorithms.":[203],"Meanwhile,":[204],"it":[205],"resistant":[207],"geometric":[209],"attacks":[210],"some":[212],"extent.":[213],"It":[214],"great":[216],"potential":[217],"application":[218],"secure":[220],"communication":[221],"big":[223],"data":[224],"environment.":[225]},"counts_by_year":[{"year":2026,"cited_by_count":12},{"year":2025,"cited_by_count":29},{"year":2024,"cited_by_count":47},{"year":2023,"cited_by_count":34},{"year":2022,"cited_by_count":33},{"year":2021,"cited_by_count":35},{"year":2020,"cited_by_count":31},{"year":2019,"cited_by_count":23},{"year":2018,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
