{"id":"https://openalex.org/W2155487813","doi":"https://doi.org/10.1109/icme.2005.1521722","title":"Lossless Data Hiding Using Integer Wavelet Transform and Threshold Embedding Technique","display_name":"Lossless Data Hiding Using Integer Wavelet Transform and Threshold Embedding Technique","publication_year":2005,"publication_date":"2005-01-01","ids":{"openalex":"https://openalex.org/W2155487813","doi":"https://doi.org/10.1109/icme.2005.1521722","mag":"2155487813"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2005.1521722","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2005.1521722","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2005 IEEE International Conference on Multimedia and Expo","raw_type":"proceedings-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/A5111714804","display_name":"Guorong Xuan","orcid":null},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guorong Xuan","raw_affiliation_strings":["Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112253415","display_name":"Yun Q. Shi","orcid":"https://orcid.org/0009-0007-4038-0430"},"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 Q. Shi","raw_affiliation_strings":["New Jersey Institute of Technology, Newark, New Jersey, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"New Jersey Institute of Technology, Newark, New Jersey, USA","institution_ids":["https://openalex.org/I118118575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075419320","display_name":"Chengyun Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengyun Yang","raw_affiliation_strings":["Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018230167","display_name":"Yizhan Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yizhan Zheng","raw_affiliation_strings":["Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110235608","display_name":"Dekun Zou","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":"Dekun Zou","raw_affiliation_strings":["New Jersey Institute of Technology, Newark, New Jersey, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"New Jersey Institute of Technology, Newark, New Jersey, USA","institution_ids":["https://openalex.org/I118118575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110366298","display_name":"Peiqi Chai","orcid":null},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peiqi Chai","raw_affiliation_strings":["Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.6918,"has_fulltext":false,"cited_by_count":80,"citation_normalized_percentile":{"value":0.91288814,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1520","last_page":"1523"},"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":0.9991000294685364,"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":0.9969000220298767,"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/arithmetic-underflow","display_name":"Arithmetic underflow","score":0.8507888913154602},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.6920835971832275},{"id":"https://openalex.org/keywords/payload","display_name":"Payload (computing)","score":0.552935779094696},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.5519866943359375},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5467603802680969},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5040625333786011},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.49737241864204407},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.49718669056892395},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.44454360008239746},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.41976410150527954},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41697239875793457},{"id":"https://openalex.org/keywords/integer","display_name":"Integer (computer science)","score":0.416273295879364},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41368231177330017},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.2785116136074066},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.18706870079040527}],"concepts":[{"id":"https://openalex.org/C3265923","wikidata":"https://www.wikidata.org/wiki/Q669129","display_name":"Arithmetic underflow","level":2,"score":0.8507888913154602},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.6920835971832275},{"id":"https://openalex.org/C134066672","wikidata":"https://www.wikidata.org/wiki/Q1424639","display_name":"Payload (computing)","level":3,"score":0.552935779094696},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.5519866943359375},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5467603802680969},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5040625333786011},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.49737241864204407},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.49718669056892395},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.44454360008239746},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.41976410150527954},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41697239875793457},{"id":"https://openalex.org/C97137487","wikidata":"https://www.wikidata.org/wiki/Q729138","display_name":"Integer (computer science)","level":2,"score":0.416273295879364},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41368231177330017},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.2785116136074066},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.18706870079040527},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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":2,"locations":[{"id":"doi:10.1109/icme.2005.1521722","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2005.1521722","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2005 IEEE International Conference on Multimedia and Expo","raw_type":"proceedings-article"},{"id":"mag:2388121448","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1557146212","https://openalex.org/W1829653235","https://openalex.org/W1875944832","https://openalex.org/W2036117290","https://openalex.org/W2105770740","https://openalex.org/W2135459805","https://openalex.org/W6638529953","https://openalex.org/W6678225182"],"related_works":["https://openalex.org/W2360827329","https://openalex.org/W2525601710","https://openalex.org/W1582127952","https://openalex.org/W2384387548","https://openalex.org/W2064895942","https://openalex.org/W2566983087","https://openalex.org/W2063809597","https://openalex.org/W2107754525","https://openalex.org/W1164047145","https://openalex.org/W3133440001"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,43,52,70,78],"new":[4],"lossless":[5],"data":[6],"hiding":[7],"method":[8],"for":[9],"digital":[10],"images":[11],"using":[12],"integer":[13,35],"wavelet":[14,36],"transform":[15],"and":[16],"threshold":[17],"embedding":[18],"technique.":[19],"Data":[20],"are":[21,40],"embedded":[22],"into":[23],"the":[24,64,74,82],"least":[25],"significant":[26],"bit-plane":[27],"(LSB)":[28],"of":[29,69],"high":[30],"frequency":[31],"CDF":[32],"(2,":[33],"2)":[34],"coefficients":[37],"whose":[38],"magnitudes":[39],"smaller":[41],"than":[42],"certain":[44],"predefined":[45],"threshold.":[46],"Histogram":[47],"modification":[48],"is":[49],"applied":[50],"as":[51],"preprocessing":[53],"to":[54],"prevent":[55],"overflow/underflow.":[56],"Experimental":[57],"results":[58],"show":[59],"that":[60],"this":[61],"scheme":[62],"outperforms":[63],"prior":[65],"arts":[66],"in":[67],"terms":[68],"larger":[71],"payload":[72],"(at":[73,81],"same":[75,83],"PSNR)":[76],"or":[77],"higher":[79],"PSNR":[80],"payload)":[84]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":5}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
