{"id":"https://openalex.org/W2142414041","doi":"https://doi.org/10.1109/icip.2007.4379114","title":"Steganalysis of \u00b11 Embedding using Lossless Image Compression","display_name":"Steganalysis of \u00b11 Embedding using Lossless Image Compression","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2142414041","doi":"https://doi.org/10.1109/icip.2007.4379114","mag":"2142414041"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2007.4379114","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2007.4379114","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Conference on Image Processing","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/A5113690844","display_name":"Charles Boncelet","orcid":null},"institutions":[{"id":"https://openalex.org/I86501945","display_name":"University of Delaware","ror":"https://ror.org/01sbq1a82","country_code":"US","type":"education","lineage":["https://openalex.org/I86501945"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Charles Boncelet","raw_affiliation_strings":["University of Delaware, Newark, DE, USA","Delaware Univ., Newark#TAB#"],"affiliations":[{"raw_affiliation_string":"University of Delaware, Newark, DE, USA","institution_ids":["https://openalex.org/I86501945"]},{"raw_affiliation_string":"Delaware Univ., Newark#TAB#","institution_ids":["https://openalex.org/I86501945"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046238604","display_name":"Lisa M. Marvel","orcid":null},"institutions":[{"id":"https://openalex.org/I166416128","display_name":"DEVCOM Army Research Laboratory","ror":"https://ror.org/011hc8f90","country_code":"US","type":"government","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I166416128","https://openalex.org/I2802705668","https://openalex.org/I4210154437"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lisa Marvel","raw_affiliation_strings":["US Army Research Laboratory, MD, USA","US Army Research Laboratory APG MD 21005, marvel@arl.army.mil"],"affiliations":[{"raw_affiliation_string":"US Army Research Laboratory, MD, USA","institution_ids":["https://openalex.org/I166416128"]},{"raw_affiliation_string":"US Army Research Laboratory APG MD 21005, marvel@arl.army.mil","institution_ids":["https://openalex.org/I166416128"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5113690844"],"corresponding_institution_ids":["https://openalex.org/I86501945"],"apc_list":null,"apc_paid":null,"fwci":1.6228,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.85587193,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"5861","issue":null,"first_page":"II ","last_page":" 149"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9993000030517578,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9418272972106934},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.852705180644989},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7002982497215271},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6815676093101501},{"id":"https://openalex.org/keywords/grayscale","display_name":"Grayscale","score":0.6657374501228333},{"id":"https://openalex.org/keywords/steganography","display_name":"Steganography","score":0.6339209675788879},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5884880423545837},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5865790247917175},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.514537513256073},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5031716227531433},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.49279478192329407},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4572567045688629},{"id":"https://openalex.org/keywords/transform-coding","display_name":"Transform coding","score":0.41660448908805847},{"id":"https://openalex.org/keywords/lossless-jpeg","display_name":"Lossless JPEG","score":0.4162035584449768},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4087855815887451},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.30518829822540283},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2632625997066498}],"concepts":[{"id":"https://openalex.org/C107368093","wikidata":"https://www.wikidata.org/wiki/Q448176","display_name":"Steganalysis","level":4,"score":0.9418272972106934},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.852705180644989},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7002982497215271},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6815676093101501},{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.6657374501228333},{"id":"https://openalex.org/C108801101","wikidata":"https://www.wikidata.org/wiki/Q15032","display_name":"Steganography","level":3,"score":0.6339209675788879},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5884880423545837},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5865790247917175},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.514537513256073},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5031716227531433},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.49279478192329407},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4572567045688629},{"id":"https://openalex.org/C169805256","wikidata":"https://www.wikidata.org/wiki/Q1361381","display_name":"Transform coding","level":4,"score":0.41660448908805847},{"id":"https://openalex.org/C8384606","wikidata":"https://www.wikidata.org/wiki/Q2190356","display_name":"Lossless JPEG","level":5,"score":0.4162035584449768},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4087855815887451},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.30518829822540283},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2632625997066498}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2007.4379114","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2007.4379114","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Conference on Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1565541031","https://openalex.org/W2003309098","https://openalex.org/W2004686575","https://openalex.org/W2033127630","https://openalex.org/W2034643498","https://openalex.org/W2101933716","https://openalex.org/W2102511552","https://openalex.org/W2104808305","https://openalex.org/W2128778214","https://openalex.org/W2153635508","https://openalex.org/W2163294786","https://openalex.org/W3120421331","https://openalex.org/W6679084979"],"related_works":["https://openalex.org/W2148973528","https://openalex.org/W2939392096","https://openalex.org/W4243922849","https://openalex.org/W2106726851","https://openalex.org/W4309385482","https://openalex.org/W2792878404","https://openalex.org/W2068740952","https://openalex.org/W1583147569","https://openalex.org/W2182496537","https://openalex.org/W3154843532"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,13,51,68],"method":[3,11,66],"for":[4],"detecting":[5],"steganography":[6],"using":[7,45,63,67],"plusmn1":[8,82],"embedding.":[9],"The":[10],"uses":[12],"lossless":[14],"compression":[15],"technique":[16],"to":[17,26,55],"compress":[18],"the":[19,28,32,46],"last":[20],"two":[21],"bitplanes":[22],"in":[23],"an":[24],"effort":[25],"model":[27,47],"image":[29],"structure":[30],"where":[31],"data":[33],"may":[34],"be":[35],"hidden.":[36],"A":[37],"small":[38],"number":[39],"of":[40,71],"statistics":[41],"are":[42,61],"then":[43],"computed":[44],"and":[48],"fed":[49],"into":[50],"support":[52],"vector":[53],"machine":[54],"classify":[56],"detection":[57],"results.":[58],"Results":[59],"presented":[60],"obtained":[62],"k-fold":[64],"cross-validation":[65],"large":[69],"set":[70],"never":[72],"compressed":[73],"grayscale":[74],"images.":[75],"Detection":[76],"results":[77],"show":[78],"improvement":[79],"over":[80],"current":[81],"steganalysis":[83],"methods.":[84]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
