{"id":"https://openalex.org/W2060087144","doi":"https://doi.org/10.4018/ijdcf.2014010104","title":"A High Capacity Reversible Data Hiding Scheme Based on Multi-Level Integer DWT and Histogram Modification","display_name":"A High Capacity Reversible Data Hiding Scheme Based on Multi-Level Integer DWT and Histogram Modification","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2060087144","doi":"https://doi.org/10.4018/ijdcf.2014010104","mag":"2060087144"},"language":"en","primary_location":{"id":"doi:10.4018/ijdcf.2014010104","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijdcf.2014010104","pdf_url":null,"source":{"id":"https://openalex.org/S8943243","display_name":"International Journal of Digital Crime and Forensics","issn_l":"1941-6210","issn":["1941-6210","1941-6229"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Digital Crime and Forensics","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/A5101557084","display_name":"Shun Zhang","orcid":"https://orcid.org/0000-0003-3380-8957"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shun Zhang","raw_affiliation_strings":["College of Software, Nankai University, Nankai, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Software, Nankai University, Nankai, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043735770","display_name":"Tiegang Gao","orcid":"https://orcid.org/0000-0002-3964-2612"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tie-gang Gao","raw_affiliation_strings":["College of Software, Nankai University, Nankai, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Software, Nankai University, Nankai, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110428296","display_name":"Fusheng Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fu-sheng Yang","raw_affiliation_strings":["College of Software, Nankai University, Nankai, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Software, Nankai University, Nankai, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2472,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.60067914,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"6","issue":"1","first_page":"51","last_page":"64"},"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":0.9951000213623047,"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/T13579","display_name":"Image and Video Stabilization","score":0.9871000051498413,"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/histogram","display_name":"Histogram","score":0.690264105796814},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.616957426071167},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.6018337607383728},{"id":"https://openalex.org/keywords/integer","display_name":"Integer (computer science)","score":0.5916898250579834},{"id":"https://openalex.org/keywords/histogram-matching","display_name":"Histogram matching","score":0.5867180228233337},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5523484945297241},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.45684823393821716},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4541168212890625},{"id":"https://openalex.org/keywords/adaptive-histogram-equalization","display_name":"Adaptive histogram equalization","score":0.41920024156570435},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3817117214202881},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.3638596534729004},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.27222874760627747},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26544010639190674},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.2047145962715149},{"id":"https://openalex.org/keywords/histogram-equalization","display_name":"Histogram equalization","score":0.15645772218704224}],"concepts":[{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.690264105796814},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.616957426071167},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.6018337607383728},{"id":"https://openalex.org/C97137487","wikidata":"https://www.wikidata.org/wiki/Q729138","display_name":"Integer (computer science)","level":2,"score":0.5916898250579834},{"id":"https://openalex.org/C127449775","wikidata":"https://www.wikidata.org/wiki/Q3785871","display_name":"Histogram matching","level":4,"score":0.5867180228233337},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5523484945297241},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.45684823393821716},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4541168212890625},{"id":"https://openalex.org/C30387639","wikidata":"https://www.wikidata.org/wiki/Q4680744","display_name":"Adaptive histogram equalization","level":5,"score":0.41920024156570435},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3817117214202881},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.3638596534729004},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.27222874760627747},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26544010639190674},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.2047145962715149},{"id":"https://openalex.org/C136943445","wikidata":"https://www.wikidata.org/wiki/Q1970240","display_name":"Histogram equalization","level":4,"score":0.15645772218704224},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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":2,"locations":[{"id":"doi:10.4018/ijdcf.2014010104","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijdcf.2014010104","pdf_url":null,"source":{"id":"https://openalex.org/S8943243","display_name":"International Journal of Digital Crime and Forensics","issn_l":"1941-6210","issn":["1941-6210","1941-6229"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Digital Crime and Forensics","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:igg:jdcf00:v:6:y:2014:i:1:p:51-64","is_oa":false,"landing_page_url":"http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijdcf.2014010104","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1514631711","https://openalex.org/W1561743646","https://openalex.org/W1976716483","https://openalex.org/W1995484676","https://openalex.org/W1997244559","https://openalex.org/W2029179968","https://openalex.org/W2036117290","https://openalex.org/W2037377812","https://openalex.org/W2040164026","https://openalex.org/W2058539732","https://openalex.org/W2059658630","https://openalex.org/W2065449792","https://openalex.org/W2070482985","https://openalex.org/W2085640111","https://openalex.org/W2099945855","https://openalex.org/W2107300816","https://openalex.org/W2121036560","https://openalex.org/W2121393355","https://openalex.org/W2123218196","https://openalex.org/W2127185740","https://openalex.org/W2130097796","https://openalex.org/W2135459805","https://openalex.org/W2137096606","https://openalex.org/W2156497968","https://openalex.org/W2158986121","https://openalex.org/W2341789099","https://openalex.org/W6678225182"],"related_works":["https://openalex.org/W2256021896","https://openalex.org/W2165297163","https://openalex.org/W2057981026","https://openalex.org/W4309786676","https://openalex.org/W2398368608","https://openalex.org/W2024449420","https://openalex.org/W1994424557","https://openalex.org/W2122866860","https://openalex.org/W1979012573","https://openalex.org/W3084145657"],"abstract_inverted_index":{"A":[0],"reversible":[1],"data":[2],"hiding":[3],"scheme":[4,58,77],"based":[5,91,104],"on":[6],"integer":[7,99],"DWT":[8,25,47],"and":[9,41,67,83,93],"histogram":[10,89,105],"modification":[11,35,90,106],"is":[12,20,31,59],"proposed.":[13],"In":[14,49],"the":[15,17,34,39,46,53,75],"scheme,":[16],"cover":[18],"media":[19],"firstly":[21],"transformed":[22],"by":[23],"Integer":[24],"(Discrete":[26,101],"Wavelet":[27],"Transformation);":[28],"then":[29],"information":[30],"embedded":[32],"through":[33],"of":[36,38,45],"histograms":[37],"middle":[40],"high":[42,64],"frequency":[43],"sub-bands":[44],"coefficients.":[48],"order":[50],"to":[51],"increase":[52],"embedding":[54,65,81],"capacity,":[55],"a":[56],"multi-level":[57],"proposed,":[60],"which":[61],"achieved":[62,95],"both":[63,79],"capacity":[66,82],"reversibility.":[68],"Extensive":[69],"experimental":[70],"results":[71],"have":[72],"shown":[73],"that":[74],"proposed":[76],"achieves":[78],"higher":[80],"lower":[84],"distortion":[85],"than":[86,98],"spatial":[87],"domain":[88],"schemes;":[92],"it":[94],"better":[96],"performance":[97],"DCT":[100],"Cosine":[102],"Transformation)":[103],"scheme.":[107]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}