{"id":"https://openalex.org/W7225374292","doi":"https://doi.org/10.5281/zenodo.24014455","title":"Self-Describing Reversible Data Hiding in Fixed-Length AMBTC Streams through Invariant Partitioning and Bounded Histogram Shifting","display_name":"Self-Describing Reversible Data Hiding in Fixed-Length AMBTC Streams through Invariant Partitioning and Bounded Histogram Shifting","publication_year":2026,"publication_date":"2026-11-06","ids":{"openalex":"https://openalex.org/W7225374292","doi":"https://doi.org/10.5281/zenodo.24014455"},"language":"en","primary_location":{"id":"doi:10.5281/zenodo.24014455","doi":"https://doi.org/10.5281/zenodo.24014455","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.24014455","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.5281/zenodo.24014455","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078115449","display_name":"Md. Amir Khusru Akhtar","orcid":"https://orcid.org/0000-0002-3432-4199","observed_orcids":["https://orcid.org/0000-0002-3432-4199"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Akhtar, Mohammad Amir Khusru","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-3432-4199","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5078115449"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9961000084877014,"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":0.9961000084877014,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.0032999999821186066,"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":9.999999747378752e-05,"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/reversible-data-hiding","display_name":"reversible data hiding","score":0.9950000047683716},{"id":"https://openalex.org/keywords/absolute-moment-block-truncation-coding","display_name":"absolute moment block truncation coding","score":0.7570000290870667},{"id":"https://openalex.org/keywords/block-truncation-coding","display_name":"block truncation coding","score":0.8420000076293945},{"id":"https://openalex.org/keywords/histogram-shifting","display_name":"histogram shifting","score":0.9620000123977661},{"id":"https://openalex.org/keywords/grayscale-images","display_name":"grayscale images","score":0.6010000109672546},{"id":"https://openalex.org/keywords/embedding-capacity","display_name":"embedding capacity","score":0.703000009059906},{"id":"https://openalex.org/keywords/grayscale-image-compression","display_name":"grayscale image compression","score":0.31700000166893005}],"concepts":[{"id":"https://openalex.org/C3073032","wikidata":"https://www.wikidata.org/wiki/Q15912075","display_name":"Information hiding","level":3,"score":0.7134000062942505},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.616100013256073},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5830000042915344},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5691999793052673},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5435000061988831},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5260000228881836},{"id":"https://openalex.org/C136695289","wikidata":"https://www.wikidata.org/wiki/Q415568","display_name":"Bitstream","level":3,"score":0.5184999704360962},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5011000037193298},{"id":"https://openalex.org/C43364308","wikidata":"https://www.wikidata.org/wiki/Q8799","display_name":"Byte","level":2,"score":0.46299999952316284},{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.4345000088214874},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4235999882221222},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.41850000619888306},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.41019999980926514},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.4090999960899353},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.39320001006126404},{"id":"https://openalex.org/C2778484313","wikidata":"https://www.wikidata.org/wiki/Q1172540","display_name":"Data stream","level":2,"score":0.3522000014781952},{"id":"https://openalex.org/C2781302577","wikidata":"https://www.wikidata.org/wiki/Q209","display_name":"Rectangle","level":2,"score":0.34790000319480896},{"id":"https://openalex.org/C56056324","wikidata":"https://www.wikidata.org/wiki/Q878866","display_name":"Bit plane","level":4,"score":0.3434000015258789},{"id":"https://openalex.org/C42781572","wikidata":"https://www.wikidata.org/wiki/Q1250322","display_name":"Digital image","level":4,"score":0.3433000147342682},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.33390000462532043},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.32829999923706055},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.2985000014305115},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.2939999997615814},{"id":"https://openalex.org/C183383400","wikidata":"https://www.wikidata.org/wiki/Q2374485","display_name":"Bit field","level":3,"score":0.2888000011444092},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.28450000286102295},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.2799000144004822},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.26759999990463257},{"id":"https://openalex.org/C41431624","wikidata":"https://www.wikidata.org/wiki/Q1053357","display_name":"Block size","level":3,"score":0.26499998569488525},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.2637999951839447},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.25189998745918274}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5281/zenodo.24014455","doi":"https://doi.org/10.5281/zenodo.24014455","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.24014455","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},{"id":"doi:10.5281/zenodo.24014456","doi":"https://doi.org/10.5281/zenodo.24014456","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.24014456","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.5281/zenodo.24014455","doi":"https://doi.org/10.5281/zenodo.24014455","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.24014455","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3186099057","https://openalex.org/W2319039217","https://openalex.org/W2078961684","https://openalex.org/W2996040531","https://openalex.org/W2761462875","https://openalex.org/W326225620","https://openalex.org/W3081147128","https://openalex.org/W4390848621","https://openalex.org/W3125380988","https://openalex.org/W3016581674"],"abstract_inverted_index":{"A":[0,81],"compressed":[1,40,113],"image":[2,79],"may":[3],"have":[4],"room":[5,11],"for":[6,12,49,163],"a":[7,28,50,75,94,131,191,210,243,252],"message":[8],"without":[9],"having":[10],"the":[13,38,105,111,142,164,171,183,197,272,281,284],"instructions":[14],"needed":[15],"to":[16,43,68,224],"recover":[17],"it.":[18],"This":[19],"distinction":[20],"is":[21,180,221],"especially":[22],"consequential":[23],"in":[24,104,157],"reversible":[25,244],"data":[26],"hiding:":[27],"cover-dependent":[29],"embedding":[30],"parameter":[31],"can":[32],"improve":[33],"apparent":[34],"capacity":[35,270],"while":[36],"making":[37,287],"original":[39,112],"stream":[41,107,128],"impossible":[42],"reconstruct.":[44],"We":[45,117],"study":[46],"this":[47],"problem":[48],"fixed-length,":[51],"byte-addressable":[52],"representation":[53],"of":[54,78,195,286],"absolute":[55],"moment":[56],"block":[57,219],"truncation":[58],"coding":[59],"(AMBTC).":[60],"The":[61,98,177,207],"proposed":[62],"scheme":[63,208],"uses":[64],"invariant":[65],"low-quantizer":[66],"values":[67],"identify":[69,279],"metadata":[70],"carriers":[71],"and,":[72],"when":[73],"needed,":[74],"residue-defined":[76],"subset":[77],"blocks.":[80],"19-bit":[82],"in-band":[83],"descriptor":[84],"selects":[85],"global":[86,239,246],"or":[87],"grouped":[88,237],"embedding,":[89],"an":[90,122,256],"expansion":[91],"peak,":[92],"and":[93,108,130,148,202,220,238,283],"vacant":[95],"quantizer":[96],"bin.":[97],"overwritten":[99],"descriptor-carrier":[100],"bits":[101,152,154,162,204],"are":[102,115],"carried":[103],"embedded":[106],"recovered":[109],"before":[110],"bytes":[114],"reconstructed.":[116],"prove":[118],"exact":[119],"reversibility":[120,289],"on":[121,134,251,271],"explicitly":[123],"characterized":[124],"admissible":[125],"domain,":[126],"unchanged":[127],"length,":[129],"one-gray-level":[132],"bound":[133],"reconstructed-pixel":[135],"perturbations.":[136],"On":[137],"five":[138,146],"grayscale":[139],"test":[140],"images,":[141],"hybrid":[143,198],"accepts":[144,186],"all":[145],"covers":[147],"carries":[149,199],"2,049":[150],"net":[151],"(0.00260":[153],"per":[155,205,217],"pixel":[156],"aggregate),":[158],"compared":[159],"with":[160],"1,527":[161],"best":[165],"single":[166],"public":[167],"peak":[168],"shared":[169],"across":[170],"corpus,":[172],"selected":[173],"from":[174],"254":[175],"possibilities.":[176],"aggregate":[178],"difference":[179],"34.2%,":[181],"although":[182],"common-peak":[184],"method":[185],"only":[187],"four":[188],"covers.":[189,276],"At":[190],"decoded-image":[192],"squared-error":[193],"budget":[194],"1,000,":[196],"between":[200],"12":[201],"48":[203],"image.":[206],"has":[209],"structural":[211],"rate":[212],"ceiling":[213],"below":[214],"one":[215],"bit":[216],"16-pixel":[218],"not":[222],"shown":[223],"outperform":[225],"contemporary":[226],"variable-length":[227],"AMBTC":[228],"data-hiding":[229],"methods.":[230],"An":[231],"encoder-reachable":[232],"adversarial":[233],"family":[234],"additionally":[235],"separates":[236],"one-peak":[240],"capacities,":[241],"whereas":[242],"two-peak":[245],"comparator":[247],"reverses":[248],"that":[249],"ranking":[250],"second":[253],"family.":[254],"In":[255],"exploratory":[257],"25-cover":[258],"extension,":[259],"75":[260],"randomized":[261],"recoveries":[262],"succeed,":[263],"but":[264],"grouping":[265],"adds":[266],"admissibility":[267],"rather":[268],"than":[269],"21":[273],"mutually":[274],"admitted":[275],"These":[277],"results":[278],"both":[280],"benefit":[282],"cost":[285],"compressed-domain":[288],"self-contained.":[290]},"counts_by_year":[],"updated_date":"2026-11-09T13:22:03.289127","created_date":"2026-11-07T00:00:00"}
